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decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg"/></div><div class="MonthArticleCard_contentContainer__ShPrS"><div class="MonthArticleCard_content__afpte"><h2 class="font-heading-title blogArticleTitle MonthArticleCard_heading__DD9GN"><a class="breakout-link" href="/en/blog/best-quotes-ai-pulse-2024-keynotes/">The Best quotes from ai-PULSE 2024's keynotes</a></h2><div class="blogCategory MonthArticleCard_category__HSYwi"><a href="/en/blog/build/">Build</a></div><div class="MonthArticleCard_excerpt__twqcL" role="doc-subtitle"><div class="RichText_scwRichtextStyle__xoOiq"><p class="font-body-regular">The second edition of ai-PULSE, held at Paris's iconic Station F on November 7, kicked off with a powerful morning session that highlighted some of the most compelling voices in AI today</p></div></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl MonthArticleCard_tags__Mn8cy"><span class="Tag_tag__JS3kY">AI</span><span class="Tag_tag__JS3kY">ai-PULSE</span></div></div><div class="MonthArticleCard_footer__DKvWU"><address class="blogAuthor"><a href="/en/blog/author/salome-gonzalez/">Salomé Gonzalez</a></address><span class="blogDot MonthArticleCard_dot__p_n_a" aria-hidden="true">•</span><div><time dateTime="2024-11-18">18/11/24</time><span class="blogDot" aria-hidden="true">•</span><span>6 min read</span></div></div></div></article></section><section><h2 class="font-heading-highlighted BlogHomepage_heading__DyvxL">Latest articles</h2><div class="PostsGrid_posts___KcIk"><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Object_Storage_for_Strapi_925072fb5a.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Object_Storage_for_Strapi_925072fb5a.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Object_Storage_for_Strapi_925072fb5a.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Object_Storage_for_Strapi_925072fb5a.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Object_Storage_for_Strapi_925072fb5a.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Object_Storage_for_Strapi_925072fb5a.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Object_Storage_for_Strapi_925072fb5a.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Object_Storage_for_Strapi_925072fb5a.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Object_Storage_for_Strapi_925072fb5a.webp"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/enhancing-security-in-scaleway-object-storage-a-journey-of-innovation-and-resilience/">Enhancing security in Scaleway Object Storage: A journey of innovation and resilience</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/deploy/">Deploy</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Object Storage</span><span class="Tag_tag__JS3kY">Security</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/paul-quehen-marie-debard/">Paul Quehen, Marie Debard</a></address><div><time dateTime="2024-11-05">05/11/24</time><span class="blogDot" aria-hidden="true">•</span><span>4 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/introduction-to-kubernetes-understanding-k8s-concepts/">Introduction to Kubernetes - Understanding K8s concepts</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/build/">Build</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Kubernetes</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/benedikt-rollik/">Benedikt Rollik</a></address><div><time dateTime="2024-10-28">28/10/24</time><span class="blogDot" aria-hidden="true">•</span><span>8 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/how-to-limit-your-cloud-impact-from-bare-metal-to-ai/">How to limit your cloud impact, from bare metal to AI</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/deploy/">Deploy</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Sustainability</span><span class="Tag_tag__JS3kY">AI</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/james-martin/">James Martin</a></address><div><time dateTime="2024-10-23">23/10/24</time><span class="blogDot" aria-hidden="true">•</span><span>6 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Dedibox_wide_black_e6c66e1349.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Dedibox_wide_black_e6c66e1349.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Dedibox_wide_black_e6c66e1349.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Dedibox_wide_black_e6c66e1349.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Dedibox_wide_black_e6c66e1349.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Dedibox_wide_black_e6c66e1349.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Dedibox_wide_black_e6c66e1349.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Dedibox_wide_black_e6c66e1349.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Dedibox_wide_black_e6c66e1349.webp"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/a-beginners-guide-to-dedicated-servers-everything-you-need-to-know/">A Beginner’s Guide to Dedicated Servers: Everything You Need to Know</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/deploy/">Deploy</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Dedicated Servers</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/oceane-franc/">Océane Franc</a></address><div><time dateTime="2024-10-18">18/10/24</time><span class="blogDot" aria-hidden="true">•</span><span>5 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/building-your-chatgpt-like-app-with-open-source-libraries-a-comprehensive-guide/">Building Your ChatGPT-like App with Open Source Libraries: A Comprehensive Guide</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/build/">Build</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">AI</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/benedikt-rollik/">Benedikt Rollik</a></address><div><time dateTime="2024-10-18">18/10/24</time><span class="blogDot" aria-hidden="true">•</span><span>6 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/managed-vs-serverless-databases-choosing-the-right-solution-to-maximize-flexibility-and-minimize-costs/">Managed vs. Serverless databases: choosing the right solution to maximize flexibility and minimize costs</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/build/">Build</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Databases</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/franck-pagny/">Franck Pagny</a></address><div><time dateTime="2024-10-18">18/10/24</time><span class="blogDot" aria-hidden="true">•</span><span>3 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/ai-powered-technical-documentation-how-scaleway-uses-artificial-intelligence-to-transform-user-experience/">AI-Powered Technical Documentation: How Scaleway uses Artificial Intelligence to transform user experience</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/deploy/">Deploy</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">AI</span><span class="Tag_tag__JS3kY">Documentation</span><span class="Tag_tag__JS3kY">UX</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/oceane-franc/">Océane Franc</a></address><div><time dateTime="2024-10-15">15/10/24</time><span class="blogDot" aria-hidden="true">•</span><span>6 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/what-is-a-serverless-database-and-how-it-can-save-you-time-and-money/">What is a Serverless database, and How it can Save you Time and Money</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/build/">Build</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Serverless</span><span class="Tag_tag__JS3kY">Database</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/franck-pagny/">Franck Pagny</a></address><div><time dateTime="2024-09-11">11/09/24</time><span class="blogDot" aria-hidden="true">•</span><span>4 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Cover_Part2_6828d4700a.png 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Cover_Part2_6828d4700a.png 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Cover_Part2_6828d4700a.png 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Cover_Part2_6828d4700a.png 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Cover_Part2_6828d4700a.png 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Cover_Part2_6828d4700a.png 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Cover_Part2_6828d4700a.png 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Cover_Part2_6828d4700a.png 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Cover_Part2_6828d4700a.png"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/how-we-rebranded-scaleway-in-three-months-navigating-uncharted-territories-part-2/">How we rebranded Scaleway in three months, navigating uncharted territories ✨ Part 2</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/deploy/">Deploy</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Design </span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/jess-anelli/">Jess Anelli</a></address><div><time dateTime="2024-08-26">26/08/24</time><span class="blogDot" aria-hidden="true">•</span><span>5 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/creating-a-resilient-disaster-recovery-plan-for-native-cloud-applications-an-in-depth-guide/">Creating a Resilient Disaster Recovery Plan for Native Cloud Applications: An In-Depth Guide</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/build/">Build</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Cloud </span><span class="Tag_tag__JS3kY">DRP</span><span class="Tag_tag__JS3kY">How to</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/jaime-bernabe/">Jaime Bernabe </a></address><div><time dateTime="2024-08-06">06/08/24</time><span class="blogDot" aria-hidden="true">•</span><span>6 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/how-everdian-delivers-life-saving-real-time-critical-insights-via-ai/">How Everdian delivers “life-saving” real-time critical insights, via AI - interview with Cedric Milinaire</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/scale/">Scale</a></div><div aria-label="Tags list. 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The morning’s keynote speakers shared their insights into the latest advancements, the growing power of open-source AI, and the urgent need for Europe to position itself as a hub for sovereign, open, and efficient AI solutions._\n\n\n## A future shaped by open, efficient, and sovereign AI\n\nEurope is not only catching up with AI powerhouses in the US and China, but is emerging as a formidable force in its own right. **Xavier Niel, Founder of Iliad Group,** began his address with a bold statement: \"18 months ago, when we said we wanted to create a tech AI conference in Paris, people told us, 'Guys, you're completely crazy, Europe has no AI ecosystem!' Today, we are proving them wrong.\" He added, \"thanks to our talent, we’re building amazing startups like **Mistral, Poolside,** and **Argil.** And to keep that talent, we’ve created **Kyutai**, where we’re assembling the **‘Avengers of AI’,** bringing together the best minds to develop open source AI models in Europe, built according to our values and regulations.\"\n\n![Xavier Niel](https://www-uploads.scaleway.com/AI_Pulse_0443_2a6832e2ad.jpg)\n\nOne of the most exciting innovations to emerge from **Kyutai** is [Moshi](https://moshi.chat/), an open source conversational AI model. \"Moshi is the first truly **open-source AI model** created in Europe, and it’s completely free to use. It’s a game-changer for the industry,\" **Niel** declared. \n\n**Damien Lucas, CEO of Scaleway** and **Aude Durand, Deputy CEO of iliad Group,** took to the stage next, declaring that **Moshi** is now available as a one-click deployment service through Scaleway's platform.\n\n**Durand** then emphasized the theme of this year’s event: \"Big, Efficient, Open.\" \"In AI, we know that top-tier models require immense computational power,\" she said. **Lucas** added: ”Scaleway is proud to support **cutting-edge AI models** by offering access to **3000 NVIDIA H100 GPUs today** - triple our total this time last year - and in the coming weeks, **we will surpass 5000 GPUs.** This will allow developers across Europe to leverage the power of AI, while minimizing **environmental impact.**\"\n\n![Aude Durand and Damien Lucas](https://www-uploads.scaleway.com/Aude_Durand_and_Damien_Lucas_5e4ed468a5.jpg)\n\nAs part of its commitment to sustainable AI, **Scaleway** has also launched its new [Environmental Footprint Calculator](https://www.scaleway.com/en/environmental-footprint-calculator/). \"Transparency matters,\" said **Lucas.** \"We want to give developers the tools to understand the environmental impact of their AI workloads, covering everything from emissions to water consumption. It’s the most comprehensive calculator available today, and it’s already in beta.\" Lucas also unveiled [Generative APIs](https://www.scaleway.com/en/generative-apis/), a new Scaleway service which allows developers to move from Open AI to alternative open source models in just one line of code. More about Scaleway's ai-PULSE announcements [here](https://www.scaleway.com/en/news/scaleway-affirms-ais-big-efficient-and-open-future-at-ai-pulse-2024/).\n\n**Michael Dell, Chairman and CEO of Dell Technologies,** then shared his thoughts on the accelerating pace of AI innovation, drawing comparisons with the rise of the internet. \"If you remember **the internet in the mid-90s**, people were wondering what it really meant,” he said. “It took about a decade before the full impact was understood. We're in that same phase with AI today.\" **Dell** then asserted his belief in the transformative power of AI, both in the cloud and on-device: “AI will be used **both on the cloud and on devices.** It will be used at the edge, on the point of activity closest where the action is. It will run on cloud platforms, on your phone, in cars, factories, and retail stores,” he said. \n\n**Dell** also spoke passionately about open-source AI, emphasizing that it is a critical driver of innovation. \"**Open-source AI has already revolutionized the field**, and it’s just getting started,\" he enthused. \"**Last year would’ve been more about closed models; the world has shifted now. Two thirds of activity is now happening in open models**; derivative, small models that don’t necessarily need to run on massive clusters.\"\n\n \n![Michael Dell, Dell](https://www-uploads.scaleway.com/AI_Pulse_0578_a46729ee39.jpg)\n\nAs AI continues to evolve, **Dell** predicted \"we’re transitioning **from calculating to thinking.** The future of AI will require new architectures that bring together data, computing, and cognition in a way that helps humans become more successful,\" he explained.\n\n\n## The road to power-efficient AI\n\n**Renee J. James, Chairman and CEO of Ampere Computing,** took the stage next to talk about the future of AI hardware. She reflected on the importance of power efficiency in AI infrastructure. “We set out to build something twice as powerful, but with half the energy consumption, and we ended up getting **3 to 4 times the performance,**” said **James.**\n\n![Renee J. James, Ampere Computing](https://www-uploads.scaleway.com/AI_Pulse_0822_07e72ff1c0.jpg)\n\nIn a speech echoing her CPO **Jeff Wittich’s** [assertion last year](https://www.scaleway.com/en/blog/why-cpus-also-make-sense-for-ai-inference/) that Ampere CPUs could handle many inference workloads whilst using 3-5 times less energy than comparable GPUs, she stressed that **AI hardware, particularly processors, need to evolve to meet the increasing demands of AI models.** “Today, we are all about training models, we have people building unlimited clusters to train,” she explained. “But as [AI] starts to moderate and become mainstream, **we have to make it affordable and environmentally efficient,** because we don’t have more power. That's the journey we are going to begin.”\n\n**James** also pointed out that **Europe has an untapped wealth of intellectual talent,** especially in computer architecture, and she believes the continent must focus on increasing investment levels to continue pushing the boundaries of AI hardware. “Access to capital is one of the most important things that needs to continue to improve and the ability for investors to take more risks,” she concluded.\n\n![Renen Hallak, VAST Data, and Aude Durand](https://www-uploads.scaleway.com/AI_Pulse_1195_498a6c0c48.jpg)\n\n**Renen Hallak, Founder and CEO of VAST Data,** agreed with James on the growing importance of efficient data management in **AI scaling.** “AI is changing from allowing us to analyze numbers and rows and columns to pictures and videos, natural language and sound. Older systems were not built for that. So we need to break that paradigm, and that requires a **new software architecture,**” said **Hallak.** He then discussed the shift from CPUs to GPUs for data analysis, emphasizing the need for new software architectures “when you build exabyte-scale clusters that need to manage themselves.” **Hallak** also addressed the growing role of AI agents in problem-solving. “**AI agents will soon be communicating with each other, generating ideas, and solving problems that humans cannot solve on their own,”** he said.\n\n**Bryan Catanzaro, VP of Applied Deep Learning Research Research at NVIDIA,** and **Jean-Baptiste Kempf, Scaleway’s Chief Technical Officer,** shared insights on the future of AI infrastructures. Catanzaro discussed the challenges of scaling AI models, particularly when it comes to GPU clusters. “**We’re going to find that instead of putting a million GPUs in a single data center, we're going to run training and inference in a more distributed way, so we can have better access to electricity, and scale in a more efficient way**,” he said, highlighting the importance of optimizing AI for **both performance and sustainability.**\n\n![Bryan Catanzaro, NVIDIA, and Jean-Baptiste Kempf](https://www-uploads.scaleway.com/AI_Pulse_0947_7cb28e1cf6.jpg)\n\n**Kempf echoed** this sentiment, explaining that new AI models will need to be designed with compute efficiency top of mind. “We talked about thousands or hundreds of thousands of GPUs for training, but **90% of the compute power will actually be dedicated to inference.** So, I don't believe we’ve reached the maximum capacity for inference yet,” he said.\n\n**Catanzaro** added, “we change everything at NVIDIA. My job is to figure out how to change our models and make them much more efficient, both for training and deployment. **NVIDIA is not just a chip company; we focus on accelerating computing through full-stack optimization.** The level of specialization that goes into our GPUs for AI is something we decide on every day, focusing most importantly on machine learning and intelligence.”\n\n\n## Multimodal foundation mode and groundbreaking voices in AI\n\n**Patrick Perez, CEO of Kyutai,** then spoke about the groundbreaking work behind **Moshi**. “Since launching in mid-September, **Moshi has already been experienced by over half a million people**,”said Perez. He explained that Moshi is more than just a conversational AI; it is a **multimodal foundation model** capable of performing various tasks, from speech synthesis to question answering. “What we’ve created with Moshi is not just a voice model, but a platform for developers to innovate on top of,” he added. **The open-source nature of Moshi is a key part of Kyutai’s mission to democratize AI and ensure that European models can compete on the global stage.**\n\n![Patrick Perez, Kyutai](https://www-uploads.scaleway.com/AI_Pulse_1261_f265aaf8ab.jpg)\n\n**Charles Kantor, CEO of H** then addressed the potential of action models in AI, highlighting the importance of **combining LLMs (Large Language Models) and VLMs (Vision Models) for specialized tasks.** \"Action models are incredibly powerful today. By orchestrating LLMs that generate plans and workflows and VLMs that understand interfaces like desktop or Android, you can create systems that can take action effectively,\" said Kantor. He also emphasized the need for **sector-specific focus**: \"the goal is to focus on one industry and master it, building a holistic system with well-orchestrated layers.\"\n\n![Charles Kantor, H](https://www-uploads.scaleway.com/AI_Pulse_1478_966c47ed21.jpg)\n\n## Building an inclusive AI ecosystem\n\n**Clara Chappaz, France’s Secretary of State for AI and Digital Affairs,** concluded the morning's sessions by discussing the importance of building a distinctive AI ecosystem in Europe. \"We are at the very beginning of this technology. **It’s crucial to ensure AI is inclusive, frugal, and ethical**,\" said Chappaz. She praised **France’s strong educational system for producing top AI talent,** and emphasized the role of infrastructure and private companies, like **Scaleway,** in providing the necessary tools for that talent to thrive and launch companies in France. \n\n![Clara Chappaz](https://www-uploads.scaleway.com/AI_Pulse_1616_f2ee613181.jpg)\n\nWith AI’s growing energy demands, she mentioned the need for green energy in powering infrastructures. “**We [in France] have some of the greenest (lowest carbon) energy in the world.** You all know how much these machines consume when it comes to power and we need to think about how we feed these models with energy that is green, how do we continue fostering these technologies without damaging the planet.” \n\n![Aude Durand, Clara Chappaz \u0026 Damien Lucas](https://www-uploads.scaleway.com/AI_Pulse_1713_e3eb7c2284.jpg)\n\nFor Chappaz, what's required is a **'third way' for AI;** a new, collaborative, and inclusive approach to AI development, distinct from the competition-driven dynamics seen in the US and China. “The way we want to build this ecosystem and want to use AI is a way that can resonate with a lot of people. We like to call it the third way; one that brings people together,\" she concluded. \n\n\n- _This is an extract from Saleway's forthcoming **ai-PULSE 2024 white paper**, which will wrap up all of the event's key AI insights. Watch this space!_\n- _Meanwhile, you can check out replays of all of the above sessions, plus many more besides, on our [YouTube channel](https://www.youtube.com/channel/UC-Le3MdpQ79hWz8_t2_pGEw). Enjoy!_\n","createdAt":"2024-11-18T16:17:38.424Z","updatedAt":"2024-11-19T10:50:36.463Z","publishedAt":"2024-11-19T10:50:36.443Z","locale":"en","tags":"AI\nai-PULSE","popular":true,"articleOfTheMonth":true,"category":"Build","timeToRead":6,"excerpt":"The second edition of ai-PULSE, held at Paris's iconic Station F on November 7, kicked off with a powerful morning session that highlighted some of the most compelling voices in AI today","author":"Salomé Gonzalez","h1":"The Best quotes from ai-PULSE 2024's keynotes","createdOn":"2024-11-18","image":{"data":{"id":4023,"attributes":{"name":"GenericAnnounce-SphereCrop-ai-PULSE-2024-Illustration-Blog.jpg","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".jpg","url":"https://www-uploads.scaleway.com/large_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg","hash":"large_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e","mime":"image/jpeg","name":"large_GenericAnnounce-SphereCrop-ai-PULSE-2024-Illustration-Blog.jpg","path":null,"size":39.49,"width":1000,"height":618,"sizeInBytes":39495},"small":{"ext":".jpg","url":"https://www-uploads.scaleway.com/small_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg","hash":"small_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e","mime":"image/jpeg","name":"small_GenericAnnounce-SphereCrop-ai-PULSE-2024-Illustration-Blog.jpg","path":null,"size":14.72,"width":500,"height":309,"sizeInBytes":14721},"medium":{"ext":".jpg","url":"https://www-uploads.scaleway.com/medium_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg","hash":"medium_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e","mime":"image/jpeg","name":"medium_GenericAnnounce-SphereCrop-ai-PULSE-2024-Illustration-Blog.jpg","path":null,"size":26.44,"width":750,"height":464,"sizeInBytes":26440},"thumbnail":{"ext":".jpg","url":"https://www-uploads.scaleway.com/thumbnail_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg","hash":"thumbnail_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e","mime":"image/jpeg","name":"thumbnail_GenericAnnounce-SphereCrop-ai-PULSE-2024-Illustration-Blog.jpg","path":null,"size":4.77,"width":245,"height":152,"sizeInBytes":4774}},"hash":"Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e","ext":".jpg","mime":"image/jpeg","size":50.47,"url":"https://www-uploads.scaleway.com/Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2024-10-02T12:10:04.113Z","updatedAt":"2024-10-02T12:10:04.113Z"}}}},"posts":[{"title":"Enhancing security in Scaleway Object Storage: A journey of innovation and resilience","path":"enhancing-security-in-scaleway-object-storage-a-journey-of-innovation-and-resilience/","description":"## The evolving landscape of data security in Object Storage\n\nIn today's digital landscape, where data is often hailed as the new currency, securing that data is more critical than ever. As organizations increasingly rely on cloud storage solutions, the need for robust security measures that not only protect but also empower users to manage their data securely has never been greater. At Scaleway, we understand this need intimately, and we’ve been on a journey to continuously improve the security level of our Object Storage service.\n\nFrom the early days of access controls to more advanced security features and encryption types available today, Scaleway has consistently evolved to meet the growing demands of our customers. \n\nLet us take you through our security journey, showcasing where we started, the significant strides we’ve made, and the exciting developments on the horizon. Whether you’re a long-time user or new to Scaleway, you’ll find that our commitment to securing your data is stronger than ever.\n\n\n## Foundations of secure Object Storage at Scaleway\n\nIn the early days of Scaleway's Object Storage, our primary focus was on delivering reliable and scalable storage solutions to our customers. Security, while always a priority, was primarily built around fundamental features such as basic Access control lists (ACL). ACLs which are subresources attached to buckets and objects define which type of access is permitted onto these ressources, and thus our initial offerings included basic API checks, providing a solid yet rudimentary layer of security for users managing their data. \n\n### Multi-Availability Zone for enhanced resilience\nResilience is inseparable from security and offering the best data protection. Hence, as part of our foundational strategy, Scaleway introduced the Standard Multi-AZ (Availability Zone) class for Object Storage in Paris Region in February 2022, which marked a significant leap in our resiliency towards local threats or outbreaks. With Multi-AZ, data is automatically replicated across multiple availability zones within the same region, ensuring high availability and fault tolerance. This means that even in the event of an entire availability zone failure, your data remains safe, timely accessible, and unaffected. This resiliency was crucial in building trust with our users, and we rolled out the Multi-AZ class as the Standard class in all Scaleway Regions in 2023. \n\n\n\n## Advanced access management and fine-grained control\n\nAs part of our commitment to offering the best S3-compatibility, we integrated early on into the product journey critical security features like Versioning, and Object lock that allow users to protect their data from unintentional and external threats. \n\nMore recently, in 2023 we completed the integration of IAM with Bucket policy to offer fine-grained access management at the resource level, and deployed access logs into Cockpit to give more visibility on actions performed onto buckets. \n\nFast forward to today, and Scaleway has significantly enhanced its security features, ensuring that our customers' data is more secure than ever. The latest updates include:\n\n### Encryption at rest with SSE-C\nAs we said, each object is physically stored across different nodes and datacenters, and the likeliness of someone intruding into Scaleway datacenters to gather the exact and multiple disks necessary to rebuild a single object is near to zero, customers have always been caring and waiting for at rest encryption. This feature has especially been solicited for compliance reasons and preventing very specific security breaches. Available early October in all regions, SSE-C (Server-Side Encryption with Customer-provided keys) allows customers to manage their own encryption keys. This gives users greater control over their data security, ensuring that only they have access to the keys that encrypt their objects. This level of encryption provides an added layer of security by allowing customers to keep their encryption keys separate from their data storage provider.\n\n### Bucket Policy generator in Console\nPreviously, managing bucket policies required using the API or CLI, which could be complex and time-consuming, also was leading more easily to human errors into this critical path to securing data. With the introduction of the bucket policy generator directly in the Scaleway Console, users can now easily create and manage their bucket policies with a user-friendly interface. This tool simplifies the process of combining IAM (Identity and Access Management) and bucket policies for detailed access control, and the centralized bucket policies overview helps users quickly visualize and manage security settings across their storage buckets.\n\n\u003ciframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/nTx6mkzwBJ4?si=BncYnr7H-nDNeQoW\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen\u003e\u003c/iframe\u003e\n\nThese enhancements reflect our commitment to making advanced security features more accessible and user-friendly, enabling our customers to effortlessly secure their data.\n\n\n## Scaleway’s security vision for 2025 and beyond\n\nLooking ahead, Scaleway is committed to continuing its journey of innovation in data security. Here are some of the upcoming features and certifications planned for the near future:\n\n### Preventive rebuilds for enhanced durability\nAt the core of our storage resiliency, erasure coding ensures that each object is stored into chunks plus additional parity chunks, all split across at least three different nodes or area zones in the case of Multi-AZ. Even if the algorithm resiliency is designed for 99,999999999s (11 9s) of durability for all objects written since February 2022, we wanted to deepen our durability promise. In 2024, we developed a distributed daemon, internally known as workerbee, designed, among other things, to proactively rebuild missing data chunks of objects. Workerbee creates and reads tasks from a queue and executes preventive rebuilds as part of an automated, periodic routine to ensure data integrity. This routine will be rolled out in all Regions and AZs by mid-2025. This should significantly boost objects durability especially for old objects and long term storage use cases such as Archiving.\n\n### ISO 27001 \u0026 HDS certification\nBy Q4 2024, Scaleway Object Storage will be ISO 27001 certified, ensuring compliance with one of the most rigorous international standards for information security management systems. Additionally, we are pursuing HDS (Hébergement Données de Santé) certification for early 2025, which will further enhance our capabilities in securely storing and managing health data, meeting stringent regulatory requirements.\n\n### Upcoming SSE-KMS integration for key management\nThe next phase of our encryption strategy involves integrating Server-Side Encryption with Scaleway Key Management Service. Planned for S1 2025, SSE-KMS will provide even more robust encryption options, leveraging advanced key management services to enhance the security and manageability of encryption keys.\n\n### Bucket policy for custom control\nMany of our users asked for expanding bucket policy capabilities, which will be achieved thanks to the addition of IAM groups, a more adequate way to grant access into large and moving organizations.\n\n### Data integrity with Object lock in Console\nMore Console integration is planned for easier Security, with upcoming revamp of the Versioning console experience, plus the integration of Object lock in Console early 2025.\n \nAt Scaleway, we understand that security is a journey, not a destination. Our continuous efforts to enhance security features and obtain industry-leading certifications demonstrate our unwavering commitment to protecting our customers' data.\n\n\n## Conclusion: Building your trust with scalable, Secure Object Storage solutions\n\n[Scaleway Object Storage](https://www.scaleway.com/en/object-storage/) has come a long way from its initial security offerings, consistently evolving to meet and exceed the security needs of our customers. With our latest enhancements and upcoming features, we are ensuring that our platform remains at the forefront of data security, providing our customers with the tools and confidence they need to securely manage their data.\n\nStay tuned for more updates as we continue to innovate and enhance the security of Scaleway Object Storage, empowering you to store and manage your data with unparalleled peace of mind.\n","createdAt":"2024-11-05T08:24:33.701Z","updatedAt":"2024-11-12T16:41:28.728Z","publishedAt":"2024-11-12T16:41:28.715Z","locale":"en","tags":"Object Storage\nSecurity","popular":false,"articleOfTheMonth":false,"category":"Deploy","timeToRead":4,"excerpt":"As organizations increasingly rely on object storage solutions, the need for robust security measures that protect and empower users to manage their data securely has never been greater. ","author":"Paul Quehen, Marie Debard","h1":"Enhancing security in Scaleway Object Storage: A journey of innovation and resilience","createdOn":"2024-11-05","image":{"data":{"id":3412,"attributes":{"name":"Object Storage for Strapi.webp","alternativeText":null,"caption":null,"width":1200,"height":628,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Object_Storage_for_Strapi_925072fb5a.webp","hash":"large_Object_Storage_for_Strapi_925072fb5a","mime":"image/webp","name":"large_Object Storage for Strapi.webp","path":null,"size":"192.38","width":1000,"height":523,"sizeInBytes":36573},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Object_Storage_for_Strapi_925072fb5a.webp","hash":"small_Object_Storage_for_Strapi_925072fb5a","mime":"image/webp","name":"small_Object Storage for Strapi.webp","path":null,"size":"63.79","width":500,"height":262,"sizeInBytes":12796},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Object_Storage_for_Strapi_925072fb5a.webp","hash":"medium_Object_Storage_for_Strapi_925072fb5a","mime":"image/webp","name":"medium_Object Storage for Strapi.webp","path":null,"size":"121.79","width":750,"height":393,"sizeInBytes":23748},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Object_Storage_for_Strapi_925072fb5a.webp","hash":"thumbnail_Object_Storage_for_Strapi_925072fb5a","mime":"image/webp","name":"thumbnail_Object Storage for Strapi.webp","path":null,"size":"22.13","width":245,"height":128,"sizeInBytes":4379}},"hash":"Object_Storage_for_Strapi_925072fb5a","ext":".webp","mime":"image/webp","size":265.04,"url":"https://www-uploads.scaleway.com/Object_Storage_for_Strapi_925072fb5a.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2024-04-03T08:49:13.453Z","updatedAt":"2024-04-03T08:49:13.453Z"}}}},{"title":"Introduction to Kubernetes - Understanding K8s concepts","path":"introduction-to-kubernetes-understanding-k8s-concepts/","description":"## A simple definition of Kubernetes\n\nKubernetes (K8s) is an open-source platform for managing containerized workloads and services. Google, one of the historic public cloud providers, initially developed the project and made it publicly available in 2014. Originally designed to manage Google's massive internal infrastructure, Kubernetes has since been adopted and further developed by several public cloud providers and independent developers, expanding its capabilities and features. \n\nSince then, Kubernetes has developed a vast and rapidly growing ecosystem. The project's source code is available in its GitHub repository, encouraging collaboration and contributions from developers worldwide.\n\nThe name Kubernetes derives from the ancient Greek word meaning helmsman or pilot. This article explains the concept and the different compartments of Kubernetes.\n\n![](https://www-uploads.scaleway.com/image_52_33ef0722e4.png)\n\n## Practical benefits and use cases\n\n### What is Kubernetes best used for?\nKubernetes is best used to automate deployment, scaling, and application container operations. It’s ideal for microservices-based applications, CI/CD pipelines, and environments where resilience and scalability are critical. Kubernetes offers self-healing capabilities, automatically restarting failed containers and rescheduling them on healthy nodes.\n\n### Why should I use Kubernetes in my infrastructure?\nKubernetes provides a consistent, predictable environment for running applications at scale, with built-in support for load-balancing, automatic scaling, and self-healing. It abstracts the complexities of managing containers, enabling high availability and automated rollbacks. Kubernetes also helps manage sensitive information like OAuth tokens and SSH keys, ensuring secure, reliable operations across complex systems.\n\n### What types of applications can Kubernetes manage?\nKubernetes can manage both stateless and stateful applications, batch jobs, and machine-learning workflows. It’s particularly well-suited for distributed systems because it can automatically manage scaling, service discovery, and networking.\n\n## Examples of Scaleway Kubernetes use cases\n\nHigh-availability web applications: Kubernetes' load-balancer ensures services can scale automatically while maintaining service continuity. It can also handle automatic DNS name resolution for seamless service discovery.\n\nData processing and machine learning: Kubernetes is ideal for scheduling long-running batch jobs and [machine-learning models](https://www.scaleway.com/en/docs/containers/kubernetes/how-to/use-nvidia-gpu-operator/), distributing workload efficiently across nodes.\n\nMulti-cloud deployment: Kubernetes' flexibility allows workloads to run across different public cloud providers or on-premise environments. Scaleway’s Kubernetes Kosmos provides a managed multi-cloud solution for easily deploying advanced configurations.\n\n## Is Kubernetes too complex for small teams?\n\nKubernetes can be complex but managed services like Scaleway Kubernetes Kapsule simplify setup. Using a managed service, Scaleway takes care of the underlying infrastructure, such as the Kubernetes API, and manages the control plane, making it easier for small teams to focus on their applications without worrying about the underlying infrastructure.\n\n## How does Kubernetes work vs Docker?\n\nKubernetes and Docker work hand-in-hand, but they serve different purposes. Docker is a container runtime that is responsible for creating and running containers. Kubernetes, on the other hand, is an orchestrator that manages these containers across a cluster of machines. While Docker manages individual containers, Kubernetes is responsible for deploying, scaling, and managing containerized applications across multiple hosts, providing self-healing and ensuring consistent performance.\n\nYou can find more info on the below topics [in this article…](https://www.scaleway.com/en/docs/containers/kubernetes/reference-content/introduction-to-kubernetes) or you can just carry on here!\n\n## From traditional deployment to containerized deployment\n\nTo understand why Kubernetes and containerized deployment is so useful for nowadays workloads, let us go back in time and have a view on how deployment has evolved:\nDuring the **traditional deployment era**, organizations ran applications directly on physical servers. There was no way to control the resources an application may consume, causing resource allocation issues. If an application consumed most of the server's resources, this high load might have caused performance issues on other applications running on the same physical server.\n\nA solution would be to run each application on a dedicated server, which would cause resources to be under-used and maintenance costs to increase.\n\nMultiple Virtual Machines (VMs) brought a beginning of solution during the **virtualized deployment era**. Virtualization allowed applications to be isolated between different VMs running on the same physical server, providing a security layer and better resource allocation.\n\nAs this solution reduces hardware costs, each VM still requires the same administration and maintenance tasks as a physical machine.\n\nThe **containerized deployment era** brought us the concept of containers. A container includes its running environment and all the required libraries for an application to run. Different containers with different needs can now run on the same VM or physical machine, sharing resources. Once configured, they are portable and can be easily run across different clouds and OS distributions, making software less and less dependent on hardware and reducing maintenance costs.\n\n\n## How Kubernetes can help you to manage containerized deployments\n\nIn a production environment, you may need to deal with huge amounts of containers, and you need to manage the containers running the applications to ensure there is no downtime.\nManaging thousands of simultaneously running containers on a cluster of machines by hand sounds like an unpleasant task.\n\nKubernetes simplifies managing thousands of containers across a cluster of machines. With **automatic scaling, load-balancing**, and **self-healing**, Kubernetes ensures your applications run smoothly without manual intervention. It manages the lifecycle of containerized applications and services. It defines how applications should run and interact with other applications in the outside world while providing predictability, scalability, and high availability.\n\n\n## Kubernetes architecture\n\nKubernetes is able to manage a cluster of virtual or physical machines using a shared network to communicate between them. All Kubernetes components and workloads are configured on this cluster.\n\nEach machine in a Kubernetes cluster has a given role within the Kubernetes ecosystem. The control plane (the \"brain\" of a Kubernetes cluster) manages the Kubernetes API, self-healing, and ensures that the desired state matches the actual state. The control plane performs health checks, schedules workloads, and adjusts network rules.\n\nEach machine that runs containers is a **node**, requiring a **container runtime** such as **Docker** or **containerd**. Nodes use **kubectl** or the command-line interface to interact with the control plane and manage pods.\n\nThe different underlying components running in the cluster ensure that an application's desired state matches the actual state of the cluster. To ensure this, the control plane responds to any changes by performing necessary actions. These actions include creating or destroying containers on the nodes and adjusting network rules to route and forward traffic as directed by the control plane.\n\nA user interacts with the control plane either directly with the API or with additional clients by submitting a declarative plan in JSON or YAML. The plan, containing instructions about what to create and how to manage it, is interpreted by the control plane, which decides how to deploy the application.\n\n\n## Kubernetes components\n\n### Control plane components\nThese main components form the cluster’s **control plane**. They make global decisions about the cluster and detect and respond to cluster events.\nMultiple applications and processes are needed for a Kubernetes cluster to run. They can be components guaranteeing the cluster’s health and status or processes allowing communication and control over the cluster.\n\n#### kube-apiserver\nThe kube-apiserver is a component on the control plane that exposes the Kubernetes API. It is the front end of the Kubernetes control plane and the primary means for a user to interact with a cluster. The API server is the only component that communicates directly with the etcd.\n\n#### kube-scheduler\nThe kube-scheduler is a control plane component watching newly created pods that have no node assigned yet and assigns them a node to run on.\nIt assigns the node based on individual and collective resource requirements, hardware/software/policy constraints, etc.\n\n#### etcd\netcd is a consistent and highly-available key-value store that is used by Kubernetes to store its configuration data, its state, and its metadata.\n\n#### kube-controller-manager\nThe kube-controller-manager is a control plane component that runs controllers.\nTo reduce complexity, all controllers are compiled into a single binary and run in a single process.\n\n#### cloud-controller-manager\nThe [cloud-controller-manager](https://kubernetes.io/docs/tasks/administer-cluster/running-cloud-controller) is a control plane component that maps generic representations of resources to actual resources, provided by non-homogeneous cloud providers. It manages cloud-provider-specific features, abstracting public and private cloud providers.\n\n### Node components\nServers that perform workloads in Kubernetes (running containers) are called **nodes**. Nodes may be VMs or physical machines.\nNode components maintain pods and provide the Kubernetes runtime environment. They run on every node in the cluster.\n\n#### kubelet\nThe kubelet is an agent running on each node. It ensures that containers are running in a pod and that containers described in PodSpecs are running and healthy. The agent does not manage containers that were not created by Kubernetes.\n\n#### kube-proxy\nThe kube-proxy is a network proxy running on each node in the cluster. It maintains the network rules on nodes to allow communication to the pods inside the cluster from internal or external connections.\n\n#### Kube-proxy uses the operating system's packet filtering layer if it exists or forwards the traffic itself if it does not.\n\n### Container runtime\nKubernetes can manage containers but is not capable of running them. Therefore, a container runtime is required that is responsible for running containers. Kubernetes supports several container runtimes, such as Docker or containerd, as well as any implementation of the [Kubernetes CRI (Container Runtime Interface)](https://github.com/kubernetes/community/blob/master/contributors/devel/sig-node/container-runtime-interface.md).\n\n## Kubernetes objects\nKubernetes uses containers to deploy applications, but it also uses additional layers of abstraction to provide scaling, resiliency, and life cycle management features. These abstractions are represented by objects in the Kubernetes API.\n\n### Pods in Kubernetes\nA pod is the smallest and simplest unit in the Kubernetes object model. Containers are not directly assigned to hosts in Kubernetes. Instead, one or multiple containers that are working closely together are bundled in a pod, sharing a unique network address, storage resources and information on how to govern the containers.\n\n### Services\nA service is an abstraction that defines a logical group of pods that perform the same function and a policy on how to access them. The service provides a stable endpoint (IP address) and acts like a Load Balancer by redirecting requests to the different pods in the service. The service abstraction allows scaling out or replacing dead pods without changing an application's configuration.\n\nBy default, services are only available using internally routable IP addresses but can be exposed publicly. Kubernetes uses services to manage DNS names and direct traffic to different pods. Services also act as load balancers, redirecting requests, and scaling applications.\n\nIt can be done either by using the NodePort configuration, which works by opening a static port on each node’s external networking interface, or by using the LoadBalancer service, which creates an external Load Balancer at a cloud provider using Kubernetes load-balancer integration.\n\n### ReplicaSet\nA ReplicaSet contains information about how many pods it can acquire, how many pods it shall maintain, and a pod template specifying the data of new pods to meet the number of replicas criteria. The task of a ReplicaSet is to create and delete pods as needed to reach the desired status.\n\nEach pod within a ReplicaSet can be identified via the metadata.ownerReference field, allowing the ReplicaSet to know the state of each of them. It can then schedule tasks according to the state of the pods.\n\nHowever, Deployments are a higher-level concept managing ReplicaSets and providing declarative updates to pods with several useful features. It is therefore recommended to use Deployments unless you require some specific customized orchestration.\nIf your application requires only a single instance running at any time, Deployments can be configured to maintain exactly one replica, ensuring high availability by replacing the pod if it fails.\n\n### Deployments\nA Deployment is representing a set of identical pods with no individual identities, managed by a deployment controller. The deployment controller runs multiple replicas of an application as specified in a ReplicaSet. In case any pods fail or become unresponsive, the deployment controller replaces them until the actual state equals the desired state.\n\n### Ingress Controllers\nIngress Controllers are essential components in Kubernetes for managing external access to services within a cluster. While Services can expose pods internally or externally, Ingress Controllers provide advanced routing rules to manage HTTP and HTTPS traffic. They enable functionalities like SSL termination, name-based virtual hosting, and load balancing, allowing you to consolidate your routing rules into a single resource.\n\n### StatefulSets\nA StatefulSet is able to manage pods like the deployment controller but maintains a sticky identity of each pod. Pods are created from the same base, but are not interchangeable.\nThe operating pattern of StatefulSet is the same as for any other Controllers. The StatefulSet controller maintains the desired state, defined in a StatefulSet object, by making the necessary update to go from the actual state of a cluster to the desired state.\nThe unique, number-based name of each pod in the StatefulSet persists, even if a pod is being moved to another node.\n\n### DaemonSets\nAnother type of pod controller is called DaemonSet. It ensures that all (or some) nodes run a copy of a pod. For most use cases, it does not matter where pods are running, but in some cases, it is required that a single pod runs on all nodes. This is useful for aggregating log files, collecting metrics, or running a network storage cluster.\n\n### Jobs and CronJobs\nJobs manage a task until it runs to completion. They can run multiple pods in parallel, and are useful for batch-orientated tasks. CronJobs in Kubernetes work like traditional cron jobs on Linux. They can be used to run tasks at a specific time or interval and may be useful for Jobs such as backups or cleanup tasks.\n\n### Volumes\nA volume is a directory that is accessible to containers in a pod. Kubernetes uses its own volumes’ abstraction, allowing data to be shared by all containers and remain available until the pod is terminated.\n\nA Kubernetes volume has an explicit lifetime - the same as the pod that encloses it. This means data in a pod will be destroyed when a pod ceases to exist. This also means volumes are not a good solution for storing persistent data.\n\n### Persistent volumes\nPersistent volumes allow configuring storage systems for a cluster independent of the life cycle of a pod, avoiding the constraints of the volume life cycle being tied to the pod life cycle. Once a pod is terminated, the reclamation policy of the volume determines whether it is kept until it is deleted manually or terminated with the pod.\n\n\n## In Conclusion\n\nIn this blog post, you’ve gained an introductory understanding of Kubernetes, its core components, and how they work together.\n\nWhile Kubernetes offers powerful capabilities, it can be complex to manage. Managed services like [Scaleway’s Kubernetes Kapsule](https://www.scaleway.com/en/kubernetes-kapsule/) allow smaller teams to focus on developing and deploying applications, while Scaleway handles the underlying infrastructure.\n\nWith its extensive feature set, Kubernetes is a solution of choice for a broad range of projects.\n","createdAt":"2024-10-28T17:36:51.383Z","updatedAt":"2024-10-29T15:38:31.056Z","publishedAt":"2024-10-28T17:38:20.704Z","locale":"en","tags":"Kubernetes","popular":false,"articleOfTheMonth":false,"category":"Build","timeToRead":8,"excerpt":"The name Kubernetes derives from the ancient Greek word meaning helmsman or pilot. This article explains the concept and the different compartments of Kubernetes.","author":"Benedikt Rollik","h1":"Introduction to Kubernetes - Understanding K8s concepts","createdOn":"2024-10-28","image":{"data":{"id":2951,"attributes":{"name":"Kubernetes-Kosmos-Card.webp","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Kubernetes_Kosmos_Card_0b59750ccc.webp","hash":"large_Kubernetes_Kosmos_Card_0b59750ccc","mime":"image/webp","name":"large_Kubernetes-Kosmos-Card.webp","path":null,"size":"572.11","width":1000,"height":618},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Kubernetes_Kosmos_Card_0b59750ccc.webp","hash":"small_Kubernetes_Kosmos_Card_0b59750ccc","mime":"image/webp","name":"small_Kubernetes-Kosmos-Card.webp","path":null,"size":"132.19","width":500,"height":309},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Kubernetes_Kosmos_Card_0b59750ccc.webp","hash":"medium_Kubernetes_Kosmos_Card_0b59750ccc","mime":"image/webp","name":"medium_Kubernetes-Kosmos-Card.webp","path":null,"size":"315.45","width":750,"height":464},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Kubernetes_Kosmos_Card_0b59750ccc.webp","hash":"thumbnail_Kubernetes_Kosmos_Card_0b59750ccc","mime":"image/webp","name":"thumbnail_Kubernetes-Kosmos-Card.webp","path":null,"size":"32.25","width":245,"height":152}},"hash":"Kubernetes_Kosmos_Card_0b59750ccc","ext":".webp","mime":"image/webp","size":335.63,"url":"https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-11-15T06:04:15.955Z","updatedAt":"2023-11-15T06:04:15.955Z"}}}},{"title":"How to limit your cloud impact, from bare metal to AI","path":"how-to-limit-your-cloud-impact-from-bare-metal-to-ai/","description":"It’s often said that if you can’t measure it, you can’t improve it. Increasingly in tech today, if you can’t measure it, it’s most likely greenwashing. \n\nTake, for example, the recent “[Greening Digital Companies](https://www.itu.int/pub/D-STR-DIGITAL.04/fr)” report, a survey of 200 of the world’s biggest tech companies. It says that, whilst scope 3 emissions - any company’s least direct ones, and therefore the hardest to measure - represent 81% of tech companies’ emissions, only 38% of said firms report scope 3 properly. That’s well over half of all tech emissions totally unaccounted for.\n\nOr the recent report by The Guardian, which estimates that data center emissions are probably [662% higher than big tech companies claim](https://www.theguardian.com/technology/2024/sep/15/data-center-gas-emissions-tech), because they are not reporting the right kind of data.\n\nAnother interesting example is Accenture’s claim that [moving from on-premise to the cloud can reduce your emissions by 84%](https://www.accenture.com/us-en/insights/strategy/green-behind-cloud). Possibly... but only if:\n\n- Your workloads move to countries with less carbon in their electricity (moving from on-premise in 90% low-carbon France to the cloud in 22% low-carbon electricity Ireland could actually **increase** your emissions)\n- Your cloud provider works to reduce its impact across the three pillars of Green IT:\n1. Data centers\n2. Hardware\n3. Software.\n\n\n\nSo let’s take a look at all three!\n\n\n## Data centers\n\n![](https://www-uploads.scaleway.com/cloud_impact_1_datacenters_2d4942161d.png)\n\nIf we consider that [4% of all global emissions are digital](https://digital-strategy.ec.europa.eu/en/policies/green-digital), 1% of those four comes from data centers, according to the International Energy Association (IEA). But this is just for starters. Also according to the IEA, AI, data center and cryptocurrency energy use \n[will double by 2026](https://www.iea.org/reports/electricity-2024/executive-summary), as the demand for compute power surges worldwide.\n\nIt is as such essential to limit data centers’ impact. Whilst the first way to do that is to choose countries with the lowest-carbon electricity (cf. introduction), you can then check how efficiently your chosen cloud provider (CSP) uses energy. This is measured with **Power Usage Effectiveness**, or PUE. As it’s a ratio, the closer it is to one, the better it is (cf. examples, above).\n\nHowever, that’s not all ! Many CSPs proudly share their low PUEs without sharing their WUE, which is how effectively they use water. Whereas both should be as low as possible, but water usage figures are far harder to come by than energy-related ones. This is because some datacenter cooling techniques, like cooling towers, can use inordinate amounts of water: some around [25 liters of water per second](https://www.datacenterdynamics.com/en/news/thames-water-launches-data-center-water-probe-in-london-slough-amid-drought).\n\nAs such, when choosing your CSP, it’s essential to ask for:\n- Low PUE and WUE (any cooling towers? 🤔)\n- Alternatives to air conditioning (e.g. Scaleway/OpCore’s DC5 uses free and adiabatic cooling instead, saving 30-40% energy vs. a standard data center)\n- Data centers located in low-carbon intensity countries\n- Maximum renewable energy\n- Transparent \u0026 location-based reporting.\n\n\n## Hardware\n\nBy far the biggest share of digital emissions - around 75%, or 3 of the 4% mentioned above - comes from hardware ([source](https://www.arcep.fr/la-regulation/grands-dossiers-thematiques-transverses/lempreinte-environnementale-du-numerique.html)). So it’s clear that limiting hardware’s impact has to be a top priority. How? Firstly, this has to happen across all stages of products’ existence:\n\n![](https://www-uploads.scaleway.com/cloud_impact_2_life_cycle_da8a2a5b76.jpg)\n\nDevices’ **Lifecycle Analysis**, or embodied carbon, can be measured with tools like that of [Boavizta](https://dataviz.boavizta.org/terminalimpact), a global reference made in France. Then their usage impact can be measured with:\n\n### COMPONENTS like:\n- **IPMI/DCMI**: measures servers’ key stats (even fan speed!)\n- [lm-sensors](https://github.com/lm-sensors/lm-sensors): detects all a machine’s available sensors (including power)\n- **RAPL**: Intel processor power consumption standard\n\n### TOOLS like:\n- [Scaphandre](https://github.com/hubblo-org/scaphandre): measures servers’ sustainability stats\n- [Powerstat](https://manpages.ubuntu.com/manpages/xenial/man8/powerstat.8.html): for Linux devices with RAPL CPUs\n- [Energizsta](https://github.com/Boavizta/Energizta): an open source tool by Boavizta\n- Manufacturer tools, e.g. Microsoft Surface Emissions Calculator.\n\n\nSo how do you reduce the impact of hardware, the monster in the room? By making it last for as long as possible! To take a simple example, if most people only keep their smartphones for two years, by keeping yours for three, you’re reducing its overall emissions by 50%. \n\nWhen it comes to the cloud, those CSPs who make their servers last the longest do the most to reduce their hardware impact. Whereas previously, most data center servers were binned after 3-4 years, some hyperscalers can now go for four to six years (cf. table below, from AdVaes), Scaleway makes its servers last for ten years and beyond, thanks to programs such as Transformers (below, and [more info here](https://www.scaleway.com/en/blog/the-transformers-project/)).\n\n![](https://www-uploads.scaleway.com/cloud_impact_3_hardware_64a78108e4.png)\n\nSince the industrialization of such programs last year, Scaleway has been able to double its number of reconditioned servers and hard drives: as such, nearly 80,000 should have been reconditioned by 2025. Thereby removing the emissions generated by making new servers, the cost of acquiring them, and reducing e-waste (today’s fastest-growing waste category). Repair, don’t replace!\n\n\n## Code \u0026 Software\n\nWhile it’s harder to quantify the impact of code and software than that of data centers or hardware, it’s safe to say it’s felt everywhere. In data centers, for example, [Intel](https://community.intel.com/t5/Blogs/Thought-Leadership/Big-Ideas/Four-principles-for-writing-energy-and-carbon-efficient-software/post/1478842) estimates that 50% of emissions are due to under-optimized infrastructure and software. \n\nFurthermore, the “bloatware effect” is everywhere. Be it in software, where widely-used applications such as **Microsoft Office demanded 171 times more memory for the 2019 version** than for the 1998 version; or in the **average size of web pages, which has grown by 191% since 2013**. Are these things 171 times or 191% better than they were 10-20 years ago?\n\nSo what can developers do to make a difference? Well, they can start by asking their managers why they don’t have energy efficiency or other sustainability objectives in their own projects! \n\nThen they can consider the following:\n- Adopt **Carbon-Aware Computing** (shifting workloads to places and times of day when carbon intensity is the lowest)\n- Taking the Green Software Foundation’s [Green Software for Practitioners](https://training.linuxfoundation.org/training/green-software-for-practitioners-lfc131/) course (it’s free!)\n- Monitor code efficiency with [SonarQube](https://www.sonarsource.com/products/sonarqube/), and its [EcoCode](https://ecocode.io/#/) plugin\n- Minimize cyclomatic complexity\n- Avoid bloatware (if 90% of features are unused, are they needed?)\n- Reuse existing code as far as possible\n- Make code last as long as possible (anti-obsolescence)\n- Ensure apps only process data they need to - no more, no less!\n\n\n![](https://www-uploads.scaleway.com/cloud_impact_4_calculator_78419270be.png)\n\nWhat can your cloud provider do on this front? It can and should provide software that enables you to measure the impact of your own cloud usage. This is precisely what Scaleway’s forthcoming **Environmental Footprint Calculator** will do, but in a more transparent and comprehensive way than other cloud calculators currently available (cf. above). Whilst others concentrate on carbon emissions, Scaleway’s will also cover water and hardware impact, and will be able to measure the latter in terms of individual hardware usage, rather than by applying average impacts across all users.\n\n\n## AI\n\nThe other elephant in the room since it caused both Microsoft and Google to miss their emissions reduction objectives recently, the rise of generative AI and LLMs has also raised a few environmental eyebrows. Why? Because GenAI relies on GPUs for training and (a lot of) inference, and **GPUs consume on average four times more energy, and generate 2.5 times more heat, than CPUs**. Whence the need for more energy, both to power said GPUs ([Three Mile Island](https://edition.cnn.com/2024/09/20/energy/three-mile-island-microsoft-ai/index.html), anyone?), and to cool them.\n\nIndeed, generating 100 words with ChatGPT (powered by GPT4) can require up to 1.5 liters in terms of cooling water ([source](https://www.msn.com/en-us/money/other/a-bottle-of-water-per-email-the-hidden-environmental-costs-of-using-ai-chatbots/ar-AA1qLlv5), versus 0.5L for 20-50 prompts previously (with GPT3.5) ([source](https://www.euronews.com/green/2023/04/20/chatgpt-drinks-a-bottle-of-fresh-water-for-every-20-to-50-questions-we-ask-study-warns)). And that update to GPT4 is obligatory.\n\nNot to mention emissions: training GPT3.5 generated an estimated 552 tCO2e, and **its inference emissions could be 200x greater** - ([source](https://dataforgood.fr/iagenerative/)), given ChatGPT’s millions of daily users.\n\nWhence the following questions to ask, if you’re looking to reduce your AI impact:\n\n- **Do I really need GenAI?** Symbolic AI can do a lot, and requires 1000x less energy ([source](https://golem.ai/fr/ia-frugalite-sobriete))\n- **Can I use an existing model?** Hugging Face has 1,000,000 and they can be fine-tuned\n- **Can that model be open source?** They’re transparent \u0026 measurable\n- **Do I have the right cloud provider?** They should favor low-carbon energy + minimal A/C \u0026 water usage\n- **Are GPUs inevitable?** Ampere’s AI inference CPUs = 3-5x less energy than NVIDIA GPUs\n- **Can I measure my models’ impact?** Try GenAI Impact/[Ecologits.ai](http://Ecologits.ai); [Green-Coding.ai](http://Green-Coding.ai); [CodeCarbon](https://codecarbon.io/)...\n\n\n## Takeaways\n\nIn conclusion, whatever your workload, from bare metal to AI, the key principles of green IT are always the same: measure transparently and comprehensively, in order to use as little resources as possible. In short:\n\n![](https://www-uploads.scaleway.com/cloud_impact_5_takeaways_a30c81890c.png)\n\n\nThanks for reading! \n\n_To find out all of the above principles in more detail, you can download our [Green IT white paper here](https://www.scaleway.com/en/why-shift-to-green-it/); and/or watch this blogpost as a presentation, below. We aim to please!_\n\n\u003ciframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/oQ1FujytYHo?si=OoXogR5H69csvVSi\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\n\n_To find out more about Scaleway’s environmental commitments, including our real-time PUE/WUE dashboards, the Environmental Footprint Calculator, Impact reports and more, [click here](https://www.scaleway.com/en/environmental-leadership/)!_\n\n","createdAt":"2024-10-23T16:39:11.838Z","updatedAt":"2024-10-24T16:30:08.049Z","publishedAt":"2024-10-24T07:39:50.001Z","locale":"en","tags":"Sustainability\nAI","popular":false,"articleOfTheMonth":false,"category":"Deploy","timeToRead":6,"excerpt":"How can you make your cloud activity more sustainable, across the board? Time to find out...","author":"James Martin","h1":"How to limit your cloud impact, from bare metal to AI","createdOn":"2024-10-23","image":{"data":{"id":4061,"attributes":{"name":"MSustainability-2024-Illustration-1920x1080.png","alternativeText":null,"caption":null,"width":3840,"height":2160,"formats":{"large":{"ext":".png","url":"https://www-uploads.scaleway.com/large_M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png","hash":"large_M_Sustainability_2024_Illustration_1920x1080_822dd679c4","mime":"image/png","name":"large_MSustainability-2024-Illustration-1920x1080.png","path":null,"size":547.65,"width":1000,"height":563,"sizeInBytes":547645},"small":{"ext":".png","url":"https://www-uploads.scaleway.com/small_M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png","hash":"small_M_Sustainability_2024_Illustration_1920x1080_822dd679c4","mime":"image/png","name":"small_MSustainability-2024-Illustration-1920x1080.png","path":null,"size":198.54,"width":500,"height":281,"sizeInBytes":198535},"medium":{"ext":".png","url":"https://www-uploads.scaleway.com/medium_M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png","hash":"medium_M_Sustainability_2024_Illustration_1920x1080_822dd679c4","mime":"image/png","name":"medium_MSustainability-2024-Illustration-1920x1080.png","path":null,"size":364.83,"width":750,"height":422,"sizeInBytes":364825},"thumbnail":{"ext":".png","url":"https://www-uploads.scaleway.com/thumbnail_M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png","hash":"thumbnail_M_Sustainability_2024_Illustration_1920x1080_822dd679c4","mime":"image/png","name":"thumbnail_MSustainability-2024-Illustration-1920x1080.png","path":null,"size":65.02,"width":245,"height":138,"sizeInBytes":65016}},"hash":"M_Sustainability_2024_Illustration_1920x1080_822dd679c4","ext":".png","mime":"image/png","size":1035.61,"url":"https://www-uploads.scaleway.com/M_Sustainability_2024_Illustration_1920x1080_822dd679c4.png","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2024-10-23T16:37:56.366Z","updatedAt":"2024-10-23T16:37:56.366Z"}}}},{"title":"A Beginner’s Guide to Dedicated Servers: Everything You Need to Know","path":"a-beginners-guide-to-dedicated-servers-everything-you-need-to-know/","description":"A dedicated server is a physical computer hosted in a datacenter and connected to the Internet. The physical server is allocated entirely to a user, an organization, or an application giving them full control over the server’s resources and configuration. \n\nOn one hand, having a dedicated server ensures that you have exclusive access to the server’s CPU, RAM, storage, and bandwidth as well as the freedom to install any software you choose. On the other hand, you are also responsible for configuring everything related to backups, security and software updates. This level of freedom allows you to have great flexibility but it also means that you need to be mindful when setting up your dedicated server. \n\nThere are a lot of advantages to having a dedicated server. For instance, a dedicated server is ideal for resource-intensive applications, websites with high traffic, or businesses that require enhanced performance, security, and customization. \n\nIn this blogpost, we will highlight how a dedicated server works, all the key benefits and the downside of running a dedicated server, how to choose a dedicated server provider, what differences there are between dedicated server and cloud server and finally how Scaleway can help and support you in setting up a [dedicated server](https://www.scaleway.com/en/dedibox/).\n\n\n## How does a dedicated server work?\n\nIn a nutshell, running a dedicated server is very simple. A dedicated server is similar to an in-house server but is owned by a cloud provider. The server is connected to the Internet and typically housed in a data center with high-security infrastructure.\n\nOnce the user has access to the dedicated server, they have complete control over its configuration and management. The user then connects to the dedicated server online and starts managing and configuring its services remotely. \n\nThe user has root access and administrative privileges on the dedicated server which allows them to select the operating system of their choice, to install the desired software stack and to customize the server environment and configure optimal security settings.\n\n## The main advantages of using a dedicated server\n\nA properly set-up server is the heart of any successful project hosted on the Internet. Whether you are running a website, managing a database, or handling applications, the server plays a significant role in keeping everything running smoothly. If your server can’t keep up, you will face slow load times, downtime, and potentially unhappy users. On the other hand, when your server is optimized, everything from customer experiences to backend processes will run seamlessly, helping your online business grow. A dedicated server for businesses offers enhanced security and high performance, ensuring that companies can manage their data and applications without disruptions.\n\n\n### High performance and speed\n\nAs mentioned earlier, a dedicated server comes with its own resources, such as CPU, RAM, and storage. All these are not shared with any other users. Therefore, all the performance capacity are solely reserved for your needs which means that the performance of your server is significantly better and the average response time a lot lower than if the resources were shared. \n\n### Enhanced security\n\nAs the only user on the server, you have total control over every aspect of it. You can decide which operating system to use, what applications to install, and who gets admin-level access. Since you are not sharing the server with others, you do not have to worry about noisy neighbors.\n\n### Complete control\n\nYou have the freedom to choose the server’s hardware, software, and settings to match your specific needs. This flexibility lets you optimize performance and adapt to your applications or workflows.\n\n### Scalability\n\nAs your business grows, you can upgrade or expand your server resources by changing your machine. For instance, adding more CPU power or RAM to a dedicated server typically involves migrating to another server. When scalability and reliability are crucial, a dedicated server for businesses can often handle growing workloads without compromising speed. \n\n### Reliability\n\nA dedicated server ensures that you get consistent speed and reliability as all the resources are dedicated to your needs only. This makes it ideal for handling high traffic, resource-heavy applications, or anything that requires top performance without slowdowns or interruptions caused by other users.\n\n### Dedicated IP Address\n\nWhen we talk about dedicated IP addresses, the main difference is not in the IP itself, but in the underlying infrastructure that supports it. In other words, for a dedicated server, the IP address is truly isolated, no one else has access to it which ensures its complete exclusivity. On a cloud server (despite being a virtual environment), each instance is also assigned its own unique IP address. This IP address is dedicated to your instance making it functionally similar to a dedicated IP on a physical server.\n\nIn both cases, having a dedicated IP can improve your reputation and SEO rankings as well as your network performance and security.\n\n\n## The downsides of using a dedicated server\n\nThe biggest disadvantage of using a dedicated hosting is the cost. They are usually more expensive than shared hosting options because you are paying for the entire server just for yourself. However, and in some cases, this can be beneficial for budgeting, as costs are predictable.\n\nIn addition, managing a dedicated server usually requires some technical knowledge as the setup and maintenance is managed directly by the user. Therefore the learning curve is steeper compared to using a shared server. \n\nLastly, a dedicated server often lag behind a virtual instance in terms of cloud ecosystem integration. A Cloud instance is designed to integrate seamlessly with various cloud services and products, making it easier to use in modern cloud-native architectures. \n\n\n## How to choose the ideal dedicated server provider\n\nChoosing the perfect server provider is not an easy task as it impacts your application performance, the website on which your business appears and your overall experience. As a result, there are some important questions to ask yourself, including :\n\n- What do you need in terms of servers specifications? \n- Does the server provider have a good reputation?\n- Is the customer support reliable?\n- Is the server customization flexible enough?\n- What are the SLAs offered?\n- What are the pricing plans available?\n- What is the server provider’s network reliability and speed?\n\nMake sure to reply to all these questions before choosing a server provider so that it can support your business's growth effectively. \n\n## What is the difference between a dedicated server and a cloud server?\n\nCloud and dedicated servers provide computing resources that are great for any business, depending on their size and usage. However, their differences can greatly affect your dedicated or shared hosting experience.\nLet’s look at the key differences between dedicated and cloud servers to help you choose the best option for your needs.\n\n### Performance and reliability\n**Cloud servers**: today, cloud providers tend to offer various machines to match various workloads, therefore it becomes easier to find a server optimized for your specific workloads. However, performance can still fluctuate. This can happen because the infrastructure is shared. \n\n**Dedicated servers**: They are more reliable because they do not deal with the unpredictability of shared environments. With the right setup and management, these servers can achieve better uptime and consistent performance, which is essential when running business-critical applications. \n\n### Pricing and cost\n\n**Cloud server**: In shared hosting, many users share the same physical server. This allows the overall operating costs to be split among all the users, making it cheaper for everyone. \nPlus, the pricing often follows a pay-as-you-go model, which can lead to significant cost savings, especially for businesses with changing workloads. For example, they can save money by adjusting resources in real time and avoiding the costs of unused infrastructure.\n\n**Dedicated server**: Because dedicated servers use their physical resources exclusively, they typically come with higher upfront costs or fixed monthly fees. However, for businesses with steady and predictable needs, dedicated hosting can sometimes be a more cost-effective solution (in the long run) because there are no unexpected expenses for scaling or shared resource limitations.\n\n### Security\n\n**Cloud server**: Cloud providers invest heavily in various security technologies and follow strict compliance standards. However, shared environments still carry some risk of security breaches and data leaks.\n \n**Dedicated server**: You have complete control over all security measures when using dedicated hosting. However, just like a cloud server, a dedicated server is not entirely foolproof and both share the same risks (unauthorized access, data breaches, malware attacks, server downtime…etc.). Hence, it’s important to follow best practices to avoid all these potential issues. This includes using strong passwords, enabling encryption, regularly auditing security settings, and applying necessary patches. Simply put, a **dedicated server for businesses** can improve data protection, making it a vital solution for companies that handle sensitive information\n\n### Customization\n\n**Cloud server**: When ordering a cloud server that is shared by definition, you have pre-defined offerings of OS, RAM, CPU, and storage depending on the machine you choose. There is not a lot of room for customization. \n\n**Dedicated server**: With dedicated hosting, a dedicated server is solely used by you therefore you can set it up exactly the way you want it to be. However, if you need more resources than what you envisioned, chances are high that you might need to upgrade your machine and migrate it from one to another. Still, many companies prefer a **dedicated server for businesses** because it provides complete control over server resources and customization options.\n\nLet’s wrap it up in a table:\n\n| | Cloud Server | Dedicated Server |\n| --------------- | -------------------------------------------------- | ------------------------------------------- |\n| Performance | Server performance can vary | Top-level performance under heavy workloads |\n| Cost | Cheaper as the costs can be shared among users | Subsequently more expensive |\n| Security | Shared responsibility | Customizable |\n| Personalization | Limited and depending on the server provider offer | Full personalization |\n\n\n## Best practices when managing a dedicated server\n\n### Robust server security measure\nIt's really important to secure a dedicated server to protect sensitive data and keep out unauthorized users. To do so, some standard procedures are recommended such as strong authentication methods (SSH keys or robust passwords), firewall setup to manage the traffic coming in and out, and diverse monitoring solutions (for logs, performance, and overall activity) as well as recurrent security audits. A solid **server security** strategy includes firewalls, encryption, and intrusion detection systems to protect against potential threats. On the contrary, poor **server security** can lead to data breaches, resulting in financial losses and damage to a company's reputation.\n\n### Updates and patch management\nKeeping your software and firmware up-to-date is a basic but important part of managing a dedicated server. This means updating everything from the operating system and web server software to database systems and other applications. Performing these updates and patch management regularly reduces the chances of security issues considerably and ensures that your server runs smoothly. \n\n### Regular Backups\nLosing data can have a big impact on any business or individual. As a result, it is crucial for all to set up strong backup solutions to ensure data and settings are regularly saved. To do so, you can use offsite backups to protect against physical damage or disasters. Also, automated backup tools can make this easier and ensure your data is always backed up without needing to do it manually.\n\n### Monitor the server and applications\nKeeping an eye on your dedicated server’s performance is important for spotting any problems. Checking the server's speed, load times, uptime, and resource usage (CPU, memory) to prevent downtime and ensure you keep your business running smoothly. Monitoring your server closely is also important to optimize its performance. This way you can adjust and fine-tune your server settings, resource allocations, and configurations.\nSome well-known monitoring tools include [Grafana](https://www.scaleway.com/en/docs/tutorials/easydeploy-grafana/), [Prometheus](https://www.scaleway.com/en/docs/tutorials/prometheus-monitoring-grafana-dashboard/) or [Zabbix](https://www.scaleway.com/en/docs/tutorials/zabbix-monitoring/). \n\n### Implement a disaster recovery management\nHaving backups in place is sometimes not enough. You need to make sure that your backups can be restored without any issues. Hence, you need to test your backups often to check the data and update your recovery plans to match any changes in your server setup or needs.\n\n### Write documentation\nKeep your documentation and specifications up to date. Make sure you have clear records of your server's setup, software versions, network settings, and security measures.\n\n\n## How to choose the perfect Operating System\n\nThe Operating System (OS) is crucial to your dedicated server setup. When you rent a dedicated server, you only rent the actual machine and nothing more. You need to install, configure, and run the software you need for whatever services you want your dedicated service to host, this includes the OS. \n\nThe OS can be described as a bridge between the computer's hardware and the applications running on it. You have two main options for the OS on a dedicated server: Windows or Linux. However, Linux has many different versions, called distributions, each with its own features. To choose the right OS, you’ll need to compare both. \n\n![](https://www-uploads.scaleway.com/Capture_d_ecran_2024_10_18_a_14_55_06_f68d0ba36f.png)\n\nUbuntu, Red Hat Enterprise Linux, CentOS, and Debian are different versions of Linux. While they share the same Linux foundation, each has unique features and benefits.\n\n\n## What is the difference between managed and unmanaged dedicated servers?\n\n### Unmanaged dedicated servers\nUnmanaged dedicated servers are rented from a cloud provider but fully managed by the user. The cloud provider sets up the hardware and installs the chosen operating system (OS), but the user is responsible for any license fees. Once the OS is installed, the cloud provider leaves the user in charge of the server management, including setup, updates, security, and troubleshooting.\n\n### Managed dedicated servers\nManaged dedicated servers are rented by users from a cloud provider, which takes care of the server's setup and maintenance. Unlike unmanaged servers, managed options include services like software installations, updates, backups, and overall server upkeep. One of the key benefits of managed dedicated servers is the technical expertise provided by the cloud provider and often the dedicated support. This not currently supported by Scaleway but you can have managed options with our [certified outsourcing providers](https://www.scaleway.com/en/dedibox/outsourcing/). \n\n## How does Scaleway support you in setting up a dedicated server?\nScaleway allows you to set up your Scaleway dedicated server super easily. Our main key features are:\n\n- User-friendly console\n- Easy setup\n- Fast deployment\n- OS options\n- Great documentation\n- Dedicated support team\n- [Web hosting solutions](https://www.scaleway.com/en/dedicated-web-hosting/)\n\n\n_Learn more about [Scaleway dedicated servers on our website!](https://www.scaleway.com/en/dedibox/)_\n","createdAt":"2024-10-18T12:29:56.528Z","updatedAt":"2024-10-27T17:39:57.795Z","publishedAt":"2024-10-23T08:06:22.917Z","locale":"en","tags":"Dedicated Servers","popular":false,"articleOfTheMonth":false,"category":"Deploy","timeToRead":5,"excerpt":"Why use a dedicated server? Find out in this blogpost!","author":"Océane Franc","h1":"A Beginner’s Guide to Dedicated Servers: Everything You Need to Know","createdOn":"2024-10-18","image":{"data":{"id":3225,"attributes":{"name":"Dedibox wide black.webp","alternativeText":null,"caption":null,"width":1708,"height":858,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Dedibox_wide_black_e6c66e1349.webp","hash":"large_Dedibox_wide_black_e6c66e1349","mime":"image/webp","name":"large_Dedibox wide black.webp","path":null,"size":"272.25","width":1000,"height":502},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Dedibox_wide_black_e6c66e1349.webp","hash":"small_Dedibox_wide_black_e6c66e1349","mime":"image/webp","name":"small_Dedibox wide black.webp","path":null,"size":"73.68","width":500,"height":251},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Dedibox_wide_black_e6c66e1349.webp","hash":"medium_Dedibox_wide_black_e6c66e1349","mime":"image/webp","name":"medium_Dedibox wide black.webp","path":null,"size":"153.42","width":750,"height":377},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Dedibox_wide_black_e6c66e1349.webp","hash":"thumbnail_Dedibox_wide_black_e6c66e1349","mime":"image/webp","name":"thumbnail_Dedibox wide black.webp","path":null,"size":"22.49","width":245,"height":123}},"hash":"Dedibox_wide_black_e6c66e1349","ext":".webp","mime":"image/webp","size":130.2,"url":"https://www-uploads.scaleway.com/Dedibox_wide_black_e6c66e1349.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2024-02-05T14:10:30.937Z","updatedAt":"2024-02-05T14:10:30.937Z"}}}},{"title":"Building Your ChatGPT-like App with Open Source Libraries: A Comprehensive Guide","path":"building-your-chatgpt-like-app-with-open-source-libraries-a-comprehensive-guide/","description":"In recent years, AI applications, particularly chatbots such as ChatGPT, have rapidly become widely used utilities in many sectors. However, growing concerns about data security and privacy have prompted start-ups and open-source communities to develop more secure and privacy-oriented solutions using free and secure AI models.\n\nToday, a growing number of open-source UI libraries and ready-to-use containers allow developers to rapidly develop powerful sovereign AI chatbots by relying on well-trained open-source models.\n\n## Best Free Libraries and Containers for AI Chatbot Development\n\nThis blog post compares six free AI libraries that can help you easily build a ChatGPT-like app.\n\n### Open WebUI: A Robust Solution for Deploying AI Models\n\n**Use case**: All-in-one solution for developers and enterprises looking for advanced deployment and customization options based on secure AI models.\n\n![](https://www-uploads.scaleway.com/blogpost_ai_openwebui_01_e88dc3912a.png)\n\n[Open WebUI](https://github.com/open-webui/open-webui) (formerly Ollama WebUI), is a feature-rich, all-in-one solution ideal for developers and enterprises alike. Thanks to its advanced customization and deployment options through Docker or Kubernetes, developers can build ChatGPT-like apps with secure AI models.\n\n\n#### Key Features of Open WebUI\n- Easy installation using Docker or Kubernetes \n- OpenAI API integration to access all Open-AI compatible APIs \n- Full Markdown and LaTeX support\n- Role-based Access Control (RBAC) for secure user management\n- Pipelines Plugin Framework is used to add custom logic and external tools\n- RAG and web search support integrating search APIs like DuckDuckGo, Google PSE, and others.\n\n\n### Danswer: Simplifying Knowledge Management for AI Applications\n\n**Use case**: Danswer is ideal for building knowledge management systems, Q\u0026A bots, and research assistants using secure AI models with extensive data integration needs.\n\n![](https://www-uploads.scaleway.com/blogpost_ai_danswer_02_15ae0da09c.png)\n\nAs a top ChatGPT alternative, [Danswer](https://github.com/danswer-ai/danswer) is your go-to tool for Q\u0026A tasks, featuring strong RAG integration and enhanced data source management. Designed as an AI assistant, it connects directly to your company's documentation, datasheets, and other resources, making information easily accessible. Its admin panel allows you to manage data access and user control with ease. Released under the Apache 2.0 license, Danswer is widely accessible, making it an ideal choice for commercial projects.\n\n#### Key features of Danswer\n- RAG Support for information retrieval from multiple sources\n- Multilingual support for global usage\n- Compatible with any LLM\n- Admin dashboard for controlling user access and managing data\n- Docker support, making deployment easy and scalable\n- Slack integration to get answers and search results directly in Slack.\n\n\n### RAGApp: Optimized for Document Retrieval Chatbots\n\n**Use case**: Best for building specialized chatbots that rely heavily on document retrieval, such as legal or scientific assistants.\n\n![](https://www-uploads.scaleway.com/blogpost_ai_ragapp_03_aa1b9c2d83.png)\n\n[RAGApp](https://github.com/ragapp/ragapp) focuses on retrieval-augmented generation, making it ideal for open-source AI chatbots that tackle information-heavy tasks. It is designed to handle domain-specific documents, providing accurate answers into specialized fields. While RAGApp shines in its retrieval capabilities, its multilingual support still falls short compared to other options.\n\n#### Key features of RAGApp\n- Offers specialized RAG capabilities for document-based retrieval systems\n- Python-based deployment makes it easy to integrate into custom applications\n- Lightweight and resource-efficient, it is perfect for scaling large datasets.\n\n\n## How to Build a ChatGPT-like App with Free Libraries\n\n### Gradio: Rapid Prototyping for AI Applications\n**Use case**: Gradio is ideal for researchers and educators who want to demonstrate models quickly, as well as for developers who want to create user-friendly AI tools for non-technical audiences.\n\n![](https://www-uploads.scaleway.com/blogpost_ai_gradio_04_a002e47ce8.png)\n\n[Gradio](https://www.gradio.app/docs) continues to be a favorite among developers for rapid prototyping of AI applications. It makes building ChatGPT-like customizable, interactive UIs for AI models easy, and its live translation support boosts its already impressive multilingual AI chatbot capabilities.\n\n#### Key features of Gradio\n- Easy-to-use UI builder with flexible deployment options, whether locally or in the cloud\n- Multilingual support, making it accessible to users worldwide\n- Seamless integration with popular frameworks like TensorFlow and PyTorch.\n\n\n### Vercel AI SDK: Seamless Integration with Front-End Applications\n\n**Use case**: Best suited for web developers who need to integrate AI into web apps with minimal backend configuration.\n\n![](https://www-uploads.scaleway.com/blogpost_ai_vercelsdk_05_393e75a05b.png)\n\nOne of the best free AI libraries, Vercel AI SDK is designed for developers working on front-end AI chatbot applications using frameworks like React, Next.js, Vue, Svelte, Node.js, and others. It seamlessly integrates with Vercel’s deployment infrastructure, providing real-time AI capabilities designed for serverless environments. Although the SDK does not come with native RAG support, it stands out for its multilingual interfaces and easy scalability.\n\n#### Key features of Vercel AI SDK\n- JavaScript SDK designed for front-end developers\n- Easy scaling through Vercel’s integrated deployment solution\n- Multilingual UI support, making it ideal for building global applications.\n\n\n### Chainlit: A Powerful Tool for Building Complex Conversational AI\n\n**Use case**: Chainlit is perfect for developers building complex conversational AI that requires retrieval-augmented information and robust user management.\n\n![](https://www-uploads.scaleway.com/blogpost_ai_chainlit_06_f548f167d6.png)\n\n[Chainlit](https://docs.chainlit.io/get-started/installation) is designed to simplify the process of creating conversational AI interfaces. The library offers an all-in-one platform for building interactive ChatGPT-like apps with enhanced RAG capabilities. With its complete admin panel and multilingual support, Chainlit has become a favorite among developers.\n\n#### Key features of Chainlit\n- Customizable front-end for creating personalized chatbot experiences\n- Admin tools for management of users and conversations\n- It supports RAG and LLM, making it ideal for chatbot development\n- Multilingual support.\n\n\n## Deployment Options for AI Chatbot Applications\n\n| Variable | Open WebUI | Danswer | RAGApp | Gradio | Vercel AI SDK | Chainlit |\n|------------------------------|--------------------|---------|------------|-------------|------------------------|-------------|\n| GitHub Stars (as of writing) | 40.3k | 10.3k | 3.6k | 32.4k | 4k | 3k |\n| Deployment options | Docker, Kubernetes | Docker | Docker | Local/Cloud | Local/Cloud/Vercel | Local/Cloud |\n| Language/Framework | Python, Ollama | Python | Python | Python | JavaScript, TypeScript | Python |\n| License type | MIT | MIT | Apache 2.0 | Apache 2.0 | Apache 2.0 | Apache 2.0 |\n| Integration capabilities | High | Medium | High | High | High | High |\n| LLM support | Yes | Yes | Yes | Yes | Yes | Yes |\n| RAG support | Yes | Yes | Yes | No | No | Yes |\n| Multilingual support | Yes | Yes | Limited | Yes | Yes | Yes |\n| Admin panel/User management | Yes | Yes | No | No | Yes | Yes |\n\n\n## Conclusion: Choosing the Right Tool for Your AI Chatbot\n\nThanks to these ever-evolving UI libraries and containers, developers can access top free AI libraries and open-source AI chatbot solutions with low entry barriers. This means building a ChatGPT alternative is now easier than ever. \n\n**Open WebUI** and **Danswer** stand out for their advanced RAG integration and administration panels, making them reliable choices for complex configurations. \n**Chainlit** and **Gradio** are perfect for rapid prototyping and deploying web applications. \n\nIf you need something for retrieval-heavy applications, **RAGApp** remains your best choice, while **Vercel AI SDK** offers a robust platform for building interactive, multilingual chatbots with robust user management.\n\nNow that you've chosen the best open-source front-end library, the next step is powering it with an AI engine. Scaleway's [Generative APIs](https://www.scaleway.com/en/generative-apis/) offer a straightforward solution, fully compliant with EU standards, and work seamlessly with common frameworks to help bring your chatbot to life.\n\n","createdAt":"2024-10-18T08:45:26.202Z","updatedAt":"2024-10-21T11:08:55.432Z","publishedAt":"2024-10-18T08:55:48.588Z","locale":"en","tags":"AI","popular":false,"articleOfTheMonth":false,"category":"Build","timeToRead":6,"excerpt":"AI chatbots have become essential in sectors like customer service and e-commerce. This guide explores six open-source libraries to create secure, high-performance chatbots.","author":"Benedikt Rollik","h1":"Building Your ChatGPT-like App with Open Source Libraries: A Comprehensive Guide","createdOn":"2024-10-18","image":{"data":{"id":4006,"attributes":{"name":"AI-usecases-Natural-language-processing-Illustration-1280X720.png","alternativeText":null,"caption":null,"width":2560,"height":1440,"formats":{"large":{"ext":".png","url":"https://www-uploads.scaleway.com/large_AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png","hash":"large_AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7","mime":"image/png","name":"large_AI-usecases-Natural-language-processing-Illustration-1280X720.png","path":null,"size":343.28,"width":1000,"height":563,"sizeInBytes":343279},"small":{"ext":".png","url":"https://www-uploads.scaleway.com/small_AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png","hash":"small_AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7","mime":"image/png","name":"small_AI-usecases-Natural-language-processing-Illustration-1280X720.png","path":null,"size":117.7,"width":500,"height":281,"sizeInBytes":117699},"medium":{"ext":".png","url":"https://www-uploads.scaleway.com/medium_AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png","hash":"medium_AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7","mime":"image/png","name":"medium_AI-usecases-Natural-language-processing-Illustration-1280X720.png","path":null,"size":213.63,"width":750,"height":422,"sizeInBytes":213629},"thumbnail":{"ext":".png","url":"https://www-uploads.scaleway.com/thumbnail_AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png","hash":"thumbnail_AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7","mime":"image/png","name":"thumbnail_AI-usecases-Natural-language-processing-Illustration-1280X720.png","path":null,"size":41.45,"width":245,"height":138,"sizeInBytes":41445}},"hash":"AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7","ext":".png","mime":"image/png","size":330,"url":"https://www-uploads.scaleway.com/AI_usecases_Natural_language_processing_Illustration_1280_X720_8a6bd121b7.png","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2024-09-30T12:11:09.027Z","updatedAt":"2024-10-14T14:17:56.395Z"}}}},{"title":"Managed vs. Serverless databases: choosing the right solution to maximize flexibility and minimize costs","path":"managed-vs-serverless-databases-choosing-the-right-solution-to-maximize-flexibility-and-minimize-costs/","description":"Databases are fundamental to cloud infrastructure, serving as the backbone for data storage and management. In recent years, the landscape of database management has undergone a transformation, influenced by the increasing adoption of cloud technologies and the need for greater scalability and cost efficiency.\n\nSelecting the right solution is therefore pivotal for optimizing operational efficiency and cost-effectiveness.\n\nIn this article, we’ll explore the differences between managed and serverless databases, and guide you through the key considerations needed to choose the right solution for your needs.\n\n\n## Understanding the database landscape\nServerless technologies are emerging as a significant trend, offering a model where the cloud provider dynamically manages the infrastructure. This model supports automatic scaling, which is crucial for handling variable workloads and removing frequent database resizing activities. Serverless infrastructures are particularly relevant for applications with unpredictable and ephemeral scaling needs, as can be experienced by businesses with seasonal demand. Until recently, Serverless versions were primarily available for NoSQL databases, but an increasing number of solutions now offer Serverless SQL databases.\nManaged databases, meanwhile, continue to hold a strong position in the market. Recent analysis suggests that managed databases are favored by enterprises seeking stability and control, especially when dealing with mission-critical applications that require guaranteed uptime and consistent performance. These databases allow for detailed configuration and optimization, which can be crucial for complex or legacy systems.\n## Key considerations in choosing a database solution\n\nBetween Managed and Serverless databases, which are right for your needs? We've put together this handy table to find out!\n\n\n| | Managed databases | Serverless databases |\n| --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| Workload characteristics | Ideal for steady, predictable workloads where performance consistency is paramount. They offer stability with pre-allocated resources. | Best suited for dynamic, variable workloads, such as those seen in e-commerce, media, and businesses with high seasonality and/or peaks of traffic within a day. They remove the need for manual intervention when it comes to scaling the database, providing cost savings and efficiency. |\n| Cost management | Capacity is fixed and must be forecasted in advance. When appropriately sized, costs become predictable. However, ensuring sufficient capacity and consistent performance often leads to overprovisioning and increased expenses. | Offer cost efficiency by only charging for the resources used, making it attractive for cost-sensitive projects and unpredictable workloads. |\n| Scalability and Flexibility | Require manual scaling, which can be time-consuming and may not be responsive to sudden demand changes. Down or upscaling operations usually require downtime, which may impact user experience or require operations outside of business hours. | Automatically scale resources, providing flexibility and minimizing the need for manual intervention. |\n| Control and Customization | Offer more control over configurations and optimizations, which is crucial for specific performance requirements or to use advanced features. | Offer simplicity and ease of use, which can accelerate deployment times and reduce management overhead. However, they are less customizable, as some advanced \"stateful\" features available in PostgreSQL databases are incompatible with a scale-down-to-zero architecture. These features, such as “[LISTEN](https://www.postgresql.org/docs/9.1/sql-listen.html) /[NOTIFY](https://www.postgresql.org/docs/current/sql-notify.html)”, require the database engine to be running to store the state in memory. Additionally, because the service is fully managed, the serverless infrastructure may feel like a \"black box\". \n\n\u003cbr\u003e \n\n\n## Aligning database solutions with business needs\nThe choice between managed and serverless databases hinges on your specific needs and objectives. Managed databases provide a more traditional, control-oriented approach, suited for stable workloads. They offer the typical benefits of the cloud, with features similar to self-hosted databases. \n\nIn contrast, serverless infrastructures offer a cost-effective solution and innovation in scalability, ideal for dynamic and evolving use cases. However, they restrict the use of specific advanced features, as they’re not yet compatible with autoscaling.\n\n\u003cbr\u003e \n\n_Interested in exploring Scaleway’s cloud database solutions? Learn more about our [Managed SQL](https://www.scaleway.com/en/database/) and [Serverless SQL](https://www.scaleway.com/en/database/) offering to elevate your cloud infrastructure.\nYou can also learn more about Serverless databases in this [article](https://www.scaleway.com/en/blog/what-is-a-serverless-database-and-how-it-can-save-you-time-and-money/)._\n","createdAt":"2024-10-18T10:38:44.959Z","updatedAt":"2024-10-18T14:48:56.577Z","publishedAt":"2024-10-18T10:43:23.626Z","locale":"en","tags":"Databases","popular":false,"articleOfTheMonth":false,"category":"Build","timeToRead":3,"excerpt":"There’s a database for every need - explore the difference between managed and serverless databases, and choose the right one for you!","author":"Franck Pagny","h1":"Managed vs. Serverless databases: choosing the right solution to maximize flexibility and minimize costs","createdOn":"2024-10-18","image":{"data":{"id":3927,"attributes":{"name":"Content_Serverless-Database-Illustration-Content.png","alternativeText":null,"caption":null,"width":950,"height":550,"formats":{"small":{"ext":".png","url":"https://www-uploads.scaleway.com/small_Content_Serverless_Database_Illustration_Content_5acc62717d.png","hash":"small_Content_Serverless_Database_Illustration_Content_5acc62717d","mime":"image/png","name":"small_Content_Serverless-Database-Illustration-Content.png","path":null,"size":143.73,"width":500,"height":289,"sizeInBytes":143734},"medium":{"ext":".png","url":"https://www-uploads.scaleway.com/medium_Content_Serverless_Database_Illustration_Content_5acc62717d.png","hash":"medium_Content_Serverless_Database_Illustration_Content_5acc62717d","mime":"image/png","name":"medium_Content_Serverless-Database-Illustration-Content.png","path":null,"size":304.69,"width":750,"height":434,"sizeInBytes":304690},"thumbnail":{"ext":".png","url":"https://www-uploads.scaleway.com/thumbnail_Content_Serverless_Database_Illustration_Content_5acc62717d.png","hash":"thumbnail_Content_Serverless_Database_Illustration_Content_5acc62717d","mime":"image/png","name":"thumbnail_Content_Serverless-Database-Illustration-Content.png","path":null,"size":40.61,"width":245,"height":142,"sizeInBytes":40606}},"hash":"Content_Serverless_Database_Illustration_Content_5acc62717d","ext":".png","mime":"image/png","size":112.26,"url":"https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2024-09-11T14:28:40.172Z","updatedAt":"2024-10-18T14:27:21.438Z"}}}},{"title":"AI-Powered Technical Documentation: How Scaleway Uses Artificial Intelligence to Transform User Experience","path":"ai-powered-technical-documentation-how-scaleway-uses-artificial-intelligence-to-transform-user-experience/","description":"## AI in Technical Documentation\n\nChatbots are increasingly used across various sectors to facilitate user interaction and support. But despite their widespread use, many chatbots fail to meet user expectations due to their inability to provide specific and contextually appropriate answers. When it comes to solving technical issues, we want to turn to humans for help rather than robots. Robots too often respond to a question with a generic message that doesn't even address the issue in the first place.\n\nHowever, it’s a common misconception that all chatbots are created equal. \n\nWhat if we could build a chatbot that is smart enough to comprehend a complex knowledge base and consolidate different content into a single, personalized answer for the user? Well, this isn't just a hypothetical, it's a reality. \n\n\n## Meet Devana: Scaleway's AI-driven Documentation Chatbot\n\nWe are introducing Devana, our AI-powered solution integrated into our [Documentation website](https://www.scaleway.com/en/docs/). Unlike traditional chatbots that rely on scripted and limited response mechanisms, Devana uses **Machine Learning** and **Retrieval-Augmented Generation (RAG)** systems to understand and interpret user questions effectively. An example is detailed in the chatbot’s architecture section. \n\nThanks to RAG, Devana retrieves relevant data from the Documentation website and generates accurate and contextually rich responses.\n\n![](https://www-uploads.scaleway.com/DEVANA_1_1326e5d9ef.png)\n\n\nWhile our Algolia-powered search engine already enhances your search experience, Devana takes it further. It goes beyond keyword dependency by understanding the context of your queries and delivering accurate, personalized responses in natural language.\n\n\n## Key Concepts to Understand Devana’s AI-Powered Documentation Platform\n\nIn the context of Devana's platform, understanding the following key terms is essential:\n\n**Agent**: An agent refers to an AI-powered entity designed to perform specific tasks autonomously. These agents can process natural language queries, execute commands, interact with users, and potentially even engage in more complex decision-making processes based on their training.\n\n**Identity**: Identity is generally tied to user accounts or profiles linked to specific agents. This identity system manages permissions, tracks interactions, and ensures that the AI agents can securely and accurately associate actions and data with the correct user. Therefore, for Scaleway, we had to build our own Identity.\n\n**Prompt**: Refers to the initial input given to a language model to generate a response or perform a task. In Retrieval-Augmented Generation, a prompt typically includes the initial query or text and additional information retrieved from external sources (in our case, the Documentation website).\n\n**GenAI Model**: A GenAI model on Devana refers to the generative AI models, such as those based on large language models (LLMs), used to power the agents. In this context, Devana is positioned as a company specializing in data preparation to create complex, high-dimensional vector systems.\n\n**Embeddings**: Embeddings refer to numerical representations of words, phrases, or other types of data that capture their semantic meaning. AI models create these embeddings to map complex and unstructured data (like text) into a continuous vector space, where similar items are placed closer together. Words with similar meanings will have similar embeddings, allowing the agent to process and generate more relevant responses. Devana takes this a step further by incorporating an additional layer of technology that vectorizes metadata (title, description, paragraph, tags…, etc.) alongside the text. This approach preserves the structure of documents, including elements like headings and subheadings, ensuring the AI comprehends not only the content but also its organizational context.\n\n\n_💡If you’re not familiar with the term Vector Space, think of it like a map where each word in a language is represented by a point. This map is not a flat surface but a space with many dimensions (like a 3D space, but with many more directions). Each word is like a point on this map. If two words are similar in meaning (like \"cat\" and \"dog\"), their points are close to each other. If two words are very different (like \"cat\" and \"table\"), their points are far apart. Words are placed based on their meanings. Words with similar meanings are close together, which helps AI systems understand and work with language more effectively._\n\n\n## Devana's Unique Architecture\n\nDevana uses [Scaleway’s H100 PCIe GPU and L40S GPU Instances](https://www.scaleway.com/en/gpu-instances/) to run its applications. From Devana’s interface, admin users can efficiently configure GenAI models, integrate new files into the knowledge base, and seamlessly personalize the prompts. The GPU Instances provide the computational power needed for these tasks, ensuring a smooth and responsive user experience. The diagram below illustrates the major components and the flow of information through the system we put in place.\n\nHere's how the process works:\n- You submit a question to the chatbot from the Scaleway documentation website. For example, “Is Scaleway documentation open-source?”\n- The chatbot forwards the question to the Retrieval Model. RAG swings into action! It scans your chosen data source for entries that match your question.\n- With the most relevant information retrieved, RAG hands it over to the LLM, including your question and the appropriate details from the retrieved documents.\n- The LLM uses the provided information to generate an accurate and helpful response telling you that Scaleway Documentation is open-source with a link to our GitHub repository. 🥰\n\n![](https://www-uploads.scaleway.com/DEVANA_2_b38012ccb4.png)\n\n\n## How Scaleway’s Documentation Powers Devana’s AI-Driven Responses\n\nScaleway's technical documentation is the backbone of our chatbot's knowledge base. It's the primary resource the AI consults to provide accurate answers and explanations to user queries. Devana offers several identity modes for responding to users: **Limited, Creative, and Unlimited**.\n\nFor our purposes, we decided to go with the **Limited identity** to ensure that the AI draws content solely from the Documentation website. This ensures that the chatbot's responses are strictly aligned with the approved and accurate information, preventing it from introducing perspectives or ideas that might be incorrect or stray from Scaleway's vision. Devana's RAG control system also enables verification of a reply's relevance according to its knowledge database. Additionally, we have meticulously configured our agent's identity to align with our response expectations.\n\nOur technical and UX writers continuously update the Documentation and Developers' websites, so we've implemented an automatic **nightly synchronization to ensure that users always have access to the most up-to-date content.**\n\nAdditionally, Devana allows us to manually add files or external sources to our agent, enabling us to refine and optimize the quality of responses bit by bit.\n\n![](https://www-uploads.scaleway.com/DEVANA_3_2fcb74dd59.png)\n\n\n## How the Chatbot's Identity is Configured for Scaleway's Needs\n\nInternally, our documentation chatbot is called “Bobot”; our first step towards giving it a real identity. 😎\n\nAs mentioned earlier, we spent a great amount of time configuring the agent’s identity. A well-configured prompt ensures that the AI generates responses that are accurate and relevant to the user's query, pulling the correct information from the knowledge base.\n\nTherefore, we built the agent with a comprehensive set of rules and guidelines, covering various aspects such as:\n\n- Scope of expertise\n- Tone of voice\n- References to other cloud providers\n- Handling of repeated questions\n- Code generation\n\nTo maintain a sense of consistency and harmony, we also integrated Scaleway Documentation guidelines into the agent's training. Additionally, we gave it real-life examples and questions to ensure it fully grasped its role and could perform effectively.\n\n\n## Crafting a User-Centric Interface: Designing Devana’s Seamless Chatbot UI\n\nWe didn't want a chatbot that popped up at the bottom of a page like we see on so many websites. These lead customers to expect pre-constructed conversations with a bot that replies following a precise script. As a team, we wanted to put something more pleasing in place, so, we decided to go for a simple button next to the search bar. Elegant yet visible. \n\nWhen clicked, a new page opens, delivering a smooth and responsive user experience. The user remains within the same interface. We kept the same look and feel to help minimize the disruption and enhance the overall usability. \n\n![](https://www-uploads.scaleway.com/DEVANA_4_5a706d7dcf.png)\n\nOn the front end, the page is built using Gatsby (soon NextJS 🤞), the same framework used for the Scaleway Documentation website. Gatsby allows for fast, static website generation, resulting in quick load times and a smooth browsing experience. The User Interface (UI) is developed with React. Communication between Scaleway UI and Devana is handled through a simple REST API.\n\nThe interface design uses [Scaleway’s Ultraviolet Design System](https://ultraviolet.scaleway.com/6dd9b5c45/p/99ed7e-what-is-ultraviolet), ensuring true visual consistency across the website. This includes using specific colors, buttons, and fonts, all of which are part of the Ultraviolet system. As a result, the page maintains a cohesive look and feel, aligning with the overall Scaleway branding. \n\nWe integrated Devana into our applications using the open-source [devana-react](https://github.com/Scriptor-Group/devana-react) package. Along the project, we collaborated with Devana’s development team to address the limitations of certain non-customizable UI components, such as the language selector, the text input or the scroll functions. During the integration phase, we provided feedback on UI improvements, and the Devana team responded positively to enhance our branded integration. This collaboration has made our work more efficient, reducing the need for extensive custom overlays and allowing for a more seamless implementation.\n\n\n\n## Improving Scaleway's User Documentation with AI Insights\n\n\nThanks to our privileged relationship with Devana’s team, we were able to request custom data that was relevant to us in addition to the one offered by default. We are now monitoring: \n\n- Token usage (input/output)\n- Tokens by model type\n- Number of users\n- Number of conversations\n- Average number of messages\n- Rate of mistake\n- Conversation history\n\n\n## Continuous Learning and Automated Updates\n\nAs of today, Devana has been launched in Beta to 20% of our users. Before rolling it out to our entire community, we want to take the time to gather valuable feedback and make any necessary enhancements to ensure the best possible experience. This phase includes rigorous testing to ensure that both the AI and the user interface function reliably in various scenarios, including responsiveness, user interactions, and error handling.\n\nOur main goal is to create a better user experience, offer an improved search option, and optimize our documentation overall. With Devana, we want to make it easier for users to find the information they need quickly. The message history and statistics will also help us spot any gaps in our content, showing us what’s missing or could be improved. In addition, we are also able to provide answers in the language of the choice of the user which is a great advantage for our Documentation which is solely written in English. This ongoing effort will keep our documentation up-to-date, comprehensive, and user-friendly, making the platform more efficient and helpful for everyone.\n\n\n## AI’s Role in Shaping the Future of Cloud Documentation\n\nOur journey wasn’t without its challenges, from choosing our AI provider to crafting the perfect prompt to designing an intuitive user interface to working as a team. Each small obstacle taught us something new, making the process as rewarding as it was challenging.\n\nToday, Devana represents an easy entry point into AI-powered tools for our users. By engaging with an intelligent agent designed to enhance their experience, users can gradually become more comfortable with AI technologies, paving the way for broader integration into their workflows. And Scaleway can gradually leverage this experience to integrate AI into more of its products.\n\nAnd while AI is at the heart of Devana, our documentation remains crafted by skilled hands. [Benedikt](https://www.scaleway.com/en/blog/author/benedikt-rollik/), [Luiza](https://www.scaleway.com/en/blog/author/luiza-del-giudice-de-carvalho/), [Rowena](https://www.scaleway.com/en/blog/author/rowena-jones/), [Néda](https://www.scaleway.com/en/blog/author/neda-el-hadj-mimoune/), Samy, Justine, Jessica and Leanna to name a few. Their expertise ensures that the human touch is always present, guiding you every step of the way.\n\n\n## BONUS: Experience our chatbot in real life\n\nTo wrap up, feel free to watch this 2-minute video of our AI-powered Documentation Chatbot in action.\n\n\u003ciframe width=\"800\" height=\"500\" src=\"https://www.youtube.com/embed/W1WI_GEMmPU?si=wyJNk9mn_Ua1U9ig\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen\u003e\u003c/iframe\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n- New to Scaleway? [Create an account now](https://account.scaleway.com/authenticate?redirectToUrl=https%3A%2F%2Fconsole.scaleway.com%2Flogin%2F)\n- Want to visit the Documentation website? [Check it out](https://www.scaleway.com/en/docs/)\n- Want to learn more about the documentation website and the team? Read the associated content:\n- [Documentation at Scaleway](https://www.scaleway.com/en/blog/documentation-at-scaleway/) \n- [The Hows and Whys of writing Technical Documentation](https://www.scaleway.com/en/blog/the-hows-and-whys-of-writing-technical-documentation/) \n- [Retrieval Augmented Generation: Buidling a RAG pipeline with Scaleway's Managed Inference](https://www.scaleway.com/en/blog/retrieval-augmented-generation-building-a-rag-pipeline-with-scaleways-managed-inference/)\n","createdAt":"2024-10-14T13:36:58.259Z","updatedAt":"2024-10-15T15:46:36.494Z","publishedAt":"2024-10-14T14:28:01.938Z","locale":"en","tags":"AI\nDocumentation\nUX","popular":false,"articleOfTheMonth":false,"category":"Deploy","timeToRead":6,"excerpt":"What if we could build a chatbot smart enough to comprehend a complex knowledge base and consolidate different content into a single, personalized answer for the user? ","author":"Océane Franc","h1":"AI-Powered Technical Documentation: How Scaleway uses Artificial Intelligence to transform user experience","createdOn":"2024-10-15","image":{"data":{"id":3241,"attributes":{"name":"Natural-Language-Processing-AI-Illustration-Blog.webp","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp","hash":"large_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87","mime":"image/webp","name":"large_Natural-Language-Processing-AI-Illustration-Blog.webp","path":null,"size":"284.79","width":1000,"height":618},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp","hash":"small_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87","mime":"image/webp","name":"small_Natural-Language-Processing-AI-Illustration-Blog.webp","path":null,"size":"108.87","width":500,"height":309},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp","hash":"medium_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87","mime":"image/webp","name":"medium_Natural-Language-Processing-AI-Illustration-Blog.webp","path":null,"size":"194.75","width":750,"height":464},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp","hash":"thumbnail_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87","mime":"image/webp","name":"thumbnail_Natural-Language-Processing-AI-Illustration-Blog.webp","path":null,"size":"38.57","width":245,"height":152}},"hash":"Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87","ext":".webp","mime":"image/webp","size":366.43,"url":"https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2024-02-15T13:43:21.487Z","updatedAt":"2024-10-14T14:18:30.813Z"}}}},{"title":"What is a Serverless database, and How it can Save you Time and Money","path":"what-is-a-serverless-database-and-how-it-can-save-you-time-and-money/","description":"It's no surprise when you know that databases are among the top over provisioned servers - with [reports](https://www.datadoghq.com/state-of-cloud-costs/#4) showing even containers are already idle 80% of the time.\n\nServerless databases can greatly reduce overall database costs, as well as overhead costs - a key concern for many organizations.\n\nIn this article, we’ll cover the foundations of what a serverless database is, and the use cases, and why it’s a trend you don’t want to miss out on.\n\n\n## Oversizing your database may feel comfortable, but it’s costing more than you think\n\nTo this day, the standard practice for databases is to overprovision them, for two main reasons:\n- It feels like a small price to pay compared to a wide application outage in case of workload peak\n- Upscaling or downscaling relational databases typically requires downtime or carefully planned maintenance - both time-consuming activities.\n\nOver provisioning - and therefore increasing your database costs - to avoid either scenario feels like a small price to pay.\n\nAs pointed out by developers and recent studies, including Datadog’s State of Cloud Costs report, most servers are highly overprovisioned (between twice and 10 times the capacity in most cases), and managing them is a time-consuming and error-prone process.\n\n\n**No organization wants to put its entire end user experience at risk, or permanently associate its brand with unreliability because of sizing miscalculations. The stakes are just too high.**\n\nHowever, when taking a closer look at how relational database engines like PostgreSQL work, they are not that different from a compute component and a storage component. Leveraging progress made by Kubernetes and Amazon S3-compatible Scaleway Object Storage, there are technical solutions to make PostgreSQL autoscaled in a reliable manner, or more: completely “serverless.”\n\n\n## Less is more: understanding Serverless\n\nThe exact definition of Serverless can be subject to many debates and opinions, but at Scaleway we settle on:\n\n**A true Serverless solution is a solution that removes all limitations linked to the physical or virtual server it relies on as an abstraction layer.**\n\nIn practice, this means the database should:\n- Seamlessly autoscale based on usage, for both compute and storage. This guarantees that no manual intervention or downtime is required to optimize capacity based on needs.\n- Be billed based on consumption. Only the amount of compute and storage consumed - down to the second - is billed, with no incentive to overprovision capacity.\n- Scale all the way down to zero. This removes the need for a minimum unused capacity, allowing intermittent use cases to be properly met (a minimum capacity can be thought of as a small server constantly running).\n\n![Serverless SQL database architecture diagram for optimized scaling](https://www-uploads.scaleway.com/Serverless_DB_1_0b03f6390c.png)\n\nRemoving the “server abstraction layer\" can be perceived as a considerable risk factor - experiencing a database outage or unexpected high bills without any ability to look at what caused aren’t highly anticipated events.\n\nAs we developed our first [Serverless SQL Database](https://www.scaleway.com/en/serverless-sql-database/), we realized from user feedback and internal testing that we needed to go further for a smooth developer experience.\n\nThis is why we’re adding further requirements to this definition:\n- **Real-time detailed consumption view** and **autoscaling algorithm principles**\n- Ability to define a **maximum capacity** to control costs.\n- Data can be **imported and exported in a standard format**.\n\n\n## From test environments to absorbing unpredictable workload, the possibilities are endless\n\nAfter over a year of real-life tests and discussions with users, we uncovered a variety of needs from hundreds of different organizations. Most common use cases include: \n- **Scaling web applications during the day** (eg. delivery or transportation apps experiencing traffic spikes regularly, or after a communication campaign) or **during a particular season** (eg. retail or accommodation applications experiencing peak traffic before holidays)\n- **Running data processing batches intermittently** (eg. production planification algorithm once every week)\n- **Shutting down development environments** (eg. at night and during weekends) or **scaling-up temporary performance test environments** (eg. for load testing)\n- **Running internal toolings during business hours** (eg. reporting tools that used local SQLite files beforehand).\n\n\nOf course, there are plenty of good reasons for choosing a traditional Databases Instance (ie. relying on a fixed-size virtual machine), either Managed or self-hosted:\n\n- **Having a consistent and predictable workload** (eg. machine to machine workload with limited variability such as IoT sensors emitting regularly, or company system running 24/7 or in follow-the-sun)\n- **Keeping fine-grained control over database configurations** (eg. such as the number of connections, the maximum memory per connection, etc. in PostgreSQL)\n- **Keeping full PostgreSQL compatibility and usability** with regard to SQL keywords but also expected performance (eg. some stateful features from PostgreSQL  are not a good fit for scale-down to zero, and many implementation either do not support them or might degrade performance in some edge cases).\n\n\n## Serverless infrastructures reach the initial promise of the cloud: the ideal long-term pay-per-use solution\n\nServerless databases bring another option to the table when it comes to using standard and reliable databases for intermittent or unpredictable traffic. \n\n- They eliminate the need for overprovisioning by autoscaling based on usage and billing for actual consumption, reducing both database and overhead costs\n- They automatically adjust compute and storage resources based on demand, operate without downtime for capacity changes, and can scale down to zero, making them ideal for intermittent or unpredictable workloads\n- Serverless databases are well suited for variable traffic applications, development environments, and intermittent tasks, while traditional databases are better for consistent, predictable workloads requiring fine control.\n\n\nAs with many new core storage technologies, anticipating all use cases and applications is not an easy task - it’s unlikely Amazon S3 creators predicted, 20 years ago, how standard their protocol would become for so many use cases. But seeing current adoption momentum from serverless Postgres solutions and users feedback, we can’t wait to see what’s next.\n\n\n_Ready to explore serverless databases? Discover Scaleway’s [Serverless SQL Database](https://www.scaleway.com/en/serverless-sql-database/)._\n","createdAt":"2024-09-11T14:27:13.459Z","updatedAt":"2024-10-28T15:50:40.356Z","publishedAt":"2024-09-11T14:32:29.999Z","locale":"en","tags":"Serverless\nDatabase","popular":false,"articleOfTheMonth":false,"category":"Build","timeToRead":4,"excerpt":"Discover what Serverless SQL databases are, how they reduce database costs, and why they’re essential for modern businesses","author":"Franck Pagny","h1":"What is a Serverless database, and How it can Save you Time and Money","createdOn":"2024-09-11","image":{"data":{"id":3927,"attributes":{"name":"Content_Serverless-Database-Illustration-Content.png","alternativeText":null,"caption":null,"width":950,"height":550,"formats":{"small":{"ext":".png","url":"https://www-uploads.scaleway.com/small_Content_Serverless_Database_Illustration_Content_5acc62717d.png","hash":"small_Content_Serverless_Database_Illustration_Content_5acc62717d","mime":"image/png","name":"small_Content_Serverless-Database-Illustration-Content.png","path":null,"size":143.73,"width":500,"height":289,"sizeInBytes":143734},"medium":{"ext":".png","url":"https://www-uploads.scaleway.com/medium_Content_Serverless_Database_Illustration_Content_5acc62717d.png","hash":"medium_Content_Serverless_Database_Illustration_Content_5acc62717d","mime":"image/png","name":"medium_Content_Serverless-Database-Illustration-Content.png","path":null,"size":304.69,"width":750,"height":434,"sizeInBytes":304690},"thumbnail":{"ext":".png","url":"https://www-uploads.scaleway.com/thumbnail_Content_Serverless_Database_Illustration_Content_5acc62717d.png","hash":"thumbnail_Content_Serverless_Database_Illustration_Content_5acc62717d","mime":"image/png","name":"thumbnail_Content_Serverless-Database-Illustration-Content.png","path":null,"size":40.61,"width":245,"height":142,"sizeInBytes":40606}},"hash":"Content_Serverless_Database_Illustration_Content_5acc62717d","ext":".png","mime":"image/png","size":112.26,"url":"https://www-uploads.scaleway.com/Content_Serverless_Database_Illustration_Content_5acc62717d.png","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2024-09-11T14:28:40.172Z","updatedAt":"2024-10-18T14:27:21.438Z"}}}},{"title":"How we rebranded Scaleway in three months, navigating uncharted territories - Part 2","path":"how-we-rebranded-scaleway-in-three-months-navigating-uncharted-territories-part-2/","description":"## ⚙️ A Strategic Focus on Design and Autonomy\n\n_Learn how Scaleway rebranded its entire visual identity in just three months. This article, part 2 of a series ([part 1 is here](https://www.scaleway.com/en/blog/how-we-rebranded-scaleway-in-three-months-navigating-uncharted-territories-part-1/)), delves into the strategies, tools, and creative decisions that shaped our new brand, perfectly aligned with our focus on AI and cloud services. Explore our challenges, innovative solutions, and the lessons learned along the way._\n\n![Our new visual identity, more aligned with our new positioning](https://www-uploads.scaleway.com/Our_new_visual_identity_more_aligned_with_our_new_positioning_2064c20b03.png)\n\n### Seamlessly Launching Our New Visual Identity - Simplifying Brand Scaling with Clear Visual Guidelines\n\nThe first crucial step in adopting this new visual approach internally was to establish clear rules **that would streamline and standardize our new amazing visual identity.**\n\n![Brand Guideline](https://www-uploads.scaleway.com/Brand_Guideline_eff6ffae3d.png)\n\n**Creating a comprehensive new style guide was absolutely crucial.** This guide became our ultimate blueprint for assembling the 'visual building blocks' of our brand, meticulously detailing how each element should be utilized and the exact composition rules to follow. By deconstructing the visual identity into clear, manageable components, we not only streamlined the design process but also forged an unbreakable standard of consistency across every piece of brand material.\n\n![Brand Components](https://www-uploads.scaleway.com/Brand_Components_4634eedbb4.png)\n\nTo ensure it was always accessible internally and externally, **we deployed this charter on [Ultraviolet](https://ultraviolet.scaleway.com/), Scaleway's design system platform.**This platform provides a centralized location where the charter can be easily accessed, updated, and referenced, ensuring that everyone involved in the design process can adhere to the established standards.\n\nWith these clear visual guidelines and actionable resources easily accessible, **we empower our designers to focus on strategic** initiatives and innovation, while also enabling **other team members and partners to work autonomously** within the defined framework.\n\n![Ultraviolet gathers all of our brand guidelines for everyone within the company and external partners](https://www-uploads.scaleway.com/Ultraviolet_34464adf4c.gif)\n\n### Empowering Non-Designers with Figma Templates\n\nOnce the rules were established and communicated, **the next step was to update all visual touchpoints that could impact users.** It was crucial to avoid mixing two style guides (the old and the new) to maintain a consistent user experience. However, the list of assets to update was long, and time was limited!\n\nTo address this challenge efficiently, **we opted to leverage the power of templates designed in Figma.** Figma was chosen as it offers a user-friendly interface that allows our marketing and communication team members—who may not have a deep design background—to make simple yet effective changes to visuals. \n\nEach layer and element was specifically named to clearly indicate which ones should be updated and which ones should be retained within the template file, **making it easy for non-designers to create stunning graphic assets:**\n\n![Comprehensive template example of a product launch banner asset](https://www-uploads.scaleway.com/Template_Layers_4e7c018a11.gif)\n\nThis approach of internal operational outsourcing not only streamlined the process but also allowed our design team to focus on more fundamental and strategic changes. **It reduced the burden on our core design team,** enabling them to concentrate on high-impact tasks while ensuring that all visual touchpoints were updated in a timely manner. \n\n![The templates designed in Figma for the marketing teams](https://www-uploads.scaleway.com/Templates_Overview_6652e24688.png)\n\n### Showcasing Our New Aesthetic Across All Touchpoints\n\nThis also freed up valuable time for the visual design team to focus on the first edition of [ai-PULSE](http://ai-pulse.eu), Scaleway’s first big AI conference, which was being organized for November 2023, concurrently with this rebranding effort.\n\nOne of the central challenges in revolutionizing our brand **was the redesign of our main website.** Built on the Strapi CMS, our task was to retain the existing structure of the components while updating the UI aspect. We focused on refining the aesthetic elements and typographic choices to align with our new brand identity, resulting in a refreshed interface that stays true to the original framework.\n\n![Our rebranded website aligned with our new aesthetic](https://www-uploads.scaleway.com/Website_92d1da9ea2.png)\n\n### Innovating Visual Production with New Techniques\n\nAnother major technical challenge was integrating 3D into the production of our product visuals internally. Our in-house illustration designer had to undergo several months of self-training, replicating existing 3D visuals to master the techniques. \n\n**This process was not without its difficulties.** We had to adapt [our initial product visual creation method](https://www.scaleway.com/en/blog/cloud-ecosystem-graphic-design-makeover/). The process with the product teams begins with validating a product icon, followed by sketching, 3D modeling, lighting, texturing, and post-production, all aligned with the brand’s graphic charter. Each step involves iterations and stakeholder approval before the final visuals are used for social media and advertising.\n\n[](https://www-uploads.scaleway.com/Making_of_video_ae4efe6611.mp4)\n\n**Through this process, we were able to update our dozens of product visuals and integrate the creation of stunning 3D illustrations into our workflow,** adapting our style to the new graphic charter.\n\n## 🧑‍🎓 Overcoming Rebranding Challenges \n\nTaking on our rebranding with new methods and resources was a big change, full of challenges and surprises. Here are the lessons we learned:\n\n### Mastering 3D Skills through External Expertise\n\nConfronted with the formidable challenge of mastering 3D skills beyond our internal capabilities, **we boldly turned to external experts and fresh perspectives,** launching dedicated training sessions for our illustrator. This infusion of new expertise not only accelerated our learning curve but also invigorated our approach, highlighting the crucial role of external insights in driving innovative solutions.\n\n### Crafting Realistic Timelines to Manage Delays\n\nUnderestimating the time required for creative exploration and 3D production, coupled with summer breaks and conflicts with the ai-PULSE branding, led to significant delays and some initial panic.\n\nBy August, it became clear we needed to shift our approach. **We responded by compiling a detailed list of tasks and assets, estimating the time required for each and incorporating a 1.5x buffer for a more realistic timeline.** This recalibration, along with regular schedule updates and additional resource allocation, enabled us to regain control and stay on track for the launch.\n\n![Always anticipate holidays and iterations on creations!](https://www-uploads.scaleway.com/Real_Rebranding_Planning_81ae975fe4.png)\n\n### Optimizing 3D Production with Improved Tools\n\nThe transition to 3D proved more complex than anticipated for our team, and the initial software was unstable. To enhance production, **we didn’t hesitate to switch from C4D to Blender,** which significantly improved stability and rendering efficiency.\n\n### Streamlining Asset Reviews to Ensure Consistency\n\nImplementing a new style guide across the company initially led to inconsistencies in visual assets. To address this, **we established a detailed review process on Slack, creating a dedicated channel** where every team submitted their visual assets for evaluation. This channel allowed us to review and approve assets, ensure adherence to the style guide, and maintain a cohesive brand identity.\n\n## Key Lessons from the Scaleway Rebranding Journey\n\nReflecting on our rebranding odyssey, we overcame significant obstacles and embraced unexpected challenges, forging a new visual identity that showcases our resilience and creativity. \n\nBy addressing our 3D skills gap, recalibrating our timelines, and decisively updating our tools and methodologies, **we created a brand that aligns with our strategic vision and paves the way for a dynamic future.**\n\nFor those undertaking a similar transformation, we advocate for the boldness to retool, revise plans, and refine processes as key ingredients for genuine success. **Embrace adaptability and innovation, and consider the scalability of your brand from the start.** \n\nRecognizing that these adjustments are vital for achieving a brand that not only stands out but also grows and endures will set you on the path to long-term success. And remember, every challenge is just an opportunity in disguise—enjoy the ride and celebrate the wins along the way! 🚀🎉\n","createdAt":"2024-08-26T14:44:16.812Z","updatedAt":"2024-10-02T15:05:57.361Z","publishedAt":"2024-08-26T15:37:42.729Z","locale":"en","tags":"Design ","popular":false,"articleOfTheMonth":false,"category":"Deploy","timeToRead":5,"excerpt":"Learn how Scaleway rebranded in just 3 months. Explore the challenges and successes of our visual transformation focused on AI and cloud services.","author":"Jess Anelli","h1":"How we rebranded Scaleway in three months, navigating uncharted territories ✨ Part 2","createdOn":"2024-08-26","image":{"data":{"id":3902,"attributes":{"name":"Cover Part2.png","alternativeText":null,"caption":null,"width":1920,"height":1110,"formats":{"large":{"ext":".png","url":"https://www-uploads.scaleway.com/large_Cover_Part2_6828d4700a.png","hash":"large_Cover_Part2_6828d4700a","mime":"image/png","name":"large_Cover Part2.png","path":null,"size":666.72,"width":1000,"height":578,"sizeInBytes":666724},"small":{"ext":".png","url":"https://www-uploads.scaleway.com/small_Cover_Part2_6828d4700a.png","hash":"small_Cover_Part2_6828d4700a","mime":"image/png","name":"small_Cover Part2.png","path":null,"size":197.34,"width":500,"height":289,"sizeInBytes":197342},"medium":{"ext":".png","url":"https://www-uploads.scaleway.com/medium_Cover_Part2_6828d4700a.png","hash":"medium_Cover_Part2_6828d4700a","mime":"image/png","name":"medium_Cover Part2.png","path":null,"size":397.62,"width":750,"height":434,"sizeInBytes":397615},"thumbnail":{"ext":".png","url":"https://www-uploads.scaleway.com/thumbnail_Cover_Part2_6828d4700a.png","hash":"thumbnail_Cover_Part2_6828d4700a","mime":"image/png","name":"thumbnail_Cover Part2.png","path":null,"size":61.08,"width":245,"height":142,"sizeInBytes":61080}},"hash":"Cover_Part2_6828d4700a","ext":".png","mime":"image/png","size":410.37,"url":"https://www-uploads.scaleway.com/Cover_Part2_6828d4700a.png","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2024-08-26T14:43:05.410Z","updatedAt":"2024-08-26T14:43:05.410Z"}}}},{"title":"Creating a Resilient Disaster Recovery Plan for Native Cloud Applications: An In-Depth Guide","path":"creating-a-resilient-disaster-recovery-plan-for-native-cloud-applications-an-in-depth-guide/","description":"_In today's cloud computing era, ensuring system resilience and recoverability is crucial. As organizations increasingly rely on native cloud applications, a robust Disaster Recovery Plan (DRP) is essential. This comprehensive guide provides step-by-step instructions to build an effective DRP, explores various cloud disaster recovery options, and shares best practices for incident management._\n\n## Key Components of a Disaster Recovery Plan\n\n### A concrete System Architecture\n\n_Detailed diagrams and descriptions of your cloud application's architecture, including servers, databases, and network configurations._\n\nChoosing the good strategy is always a point of hours of discussions or lectures, keep in mind that there is no reference architecture “ones that never fail”, it is more about balancing the risk of unavailability. Scaleway can help you on your project to choose the tailor-made approach to your project.\n\n![High level DRP workflow for container based application using Scaleway Devtools and Velero CLI](https://www-uploads.scaleway.com/DRP_workflow_architecture_on_incident_c977d80a67.webp)\n\n### The Unsung Heroes : Contact Information and Communication Protocols \n\n_A directory of all DRP team members, their roles, and emergency contact details._\n\nA dedicated and well-prepared disaster recovery team is crucial for effectively restoring services and mitigating the impact of disasters.\n\n**Essential Roles:**\n\n- **Team Lead:** Oversees DRP activation and coordinates the response.\n- **System Admins:** Tasked with restoring backups and ensuring system integrity.\n- **Network Engineers:** Responsible for securing and restoring network configurations.\n- **Security Experts:** Address and mitigate security breaches.\n- **Communication Officers:** Manage internal and external communications.\n\nEnsure your team is on-call and ready to respond 24/7. Use tools like Splunk to manage on-call rotations and alerting.\n\n### Documentation for Backup Solutions\n\n_Explicit documentation of backup locations and restoration processes._\n\n**Documentation:** The Bedrock of Recovery\n\nOne of the fundamental pillars of a robust DRP is meticulous documentation and procedures to restore and recover backup. Comprehensive documentation serves as the go-to reference during an emergency, providing clear instructions and ensuring that everyone involved knows their roles and responsibilities.\n\nAt Scaleway we understand this, and we work hard to ensure that our users have always updated documentation.\n\nSome conclusions about our researches:\n\n- 84% of users consider product documentation as critical when choosing a cloud provider\n- 76% of users consider it important to have case examples (Terraform snippets, API recipes, etc) in the documentation.\n- 53% of our users visit the documentation website at least once a week\n\n### The 3-2-1 Backup Rule: copy, copy, copy\n\nAn effective backup strategy is crucial to any disaster recovery plan. The 3-2-1 rule is a tried-and-true method that ensures data is reliably backed up and accessible in the event of a disaster. The rule is simple:\n\n1. **Three Copies of Data:** Maintain at least three copies of your data.\n2. **Two Different Technologies:** Store copies on at least two different types of storage media.\n3. **One Copy Off-Site:** Keep at least one copy off-site to protect against local disasters.\n\nIn a cloud context, this might involve:\n\n- **[Snapshot Volume:](https://www.scaleway.com/en/docs/compute/instances/how-to/create-a-snapshot/)** Regularly take snapshots of your volumes.\n- **[Amazon S3 Export:](https://www.scaleway.com/en/docs/storage/object/how-to/upload-files-into-a-bucket/)** Export data to Scaleway Object Storage for durable, scalable storage.\n- **Off-Site Copy:** Download the Amazon S3 export or copy it to another region to ensure geographic redundancy.\n\n**Important Note:** An untested backup is as good as no backup. Regularly test your backups to ensure they can be restored as expected.\n\n**Some Testing Procedures:**\n\n- Scheduled Drills: Conduct regular drills simulating different disaster scenarios.\n- Unannounced Tests: Perform surprise tests to assess real-time readiness.\n- Review and Improve: Conduct post-mortems after each test to identify gaps and update the DRP accordingly.\n\n## Disaster Recovery Options for Native Cloud Applications\n\n_Scaleway provides a range of disaster recovery options designed to meet the specific needs of your applications. Explore popular solutions that can be customized to ensure resilience and reliability for your cloud infrastructure._\n\n### Backup and Restore Methods for Data Protection\n\nOverview: Regularly back up data and restore it in case of a disaster.\n\n**Pros:**\n- **Cost-Effective:** Lower ongoing costs as you only pay for storage and occasional data retrieval.\n- **Simplicity:** Easy to implement and manage, making it suitable for small to medium-sized businesses.\n\n**Cons:**\n- **Longer Recovery Time:** Can be slow to restore services, leading to extended downtime.\n- **Potential Data Loss:** Risk of data loss between backup intervals, depending on the frequency of backups.\n\nHere the mécanisme how to transfer snapshots in other Availability Zone in the same region:\n\n![Data backup and recovery workflow with SCW snapshots and object storage for data redundancy](https://www-uploads.scaleway.com/DRP_workflow_backup_135fa74c45.webp)\n\nHere how an architecture can be structured with an external provider:\n\n![Disaster recovery architecture diagram with external provider, showing node pool management and object storage](https://www-uploads.scaleway.com/DRP_diagram_external_provider_45c9bac64b.webp)\n\n### Pilot Light Cloud Solutions \n\nOverview: Maintain a minimal version of your application always running, which can be scaled up in the event of a disaster.\n\n**Pros:**\n- **Faster Recovery:** Quicker than a full backup and restore, as core services are already running.\n- **Cost-Efficient:** Lower cost compared to a full standby solution since only essential services are running continuously.\n\n**Cons:**\n- **Complexity:** Required careful planning to ensure scalability and integration.\n- **Limited Capacity:** initial capacity might be insufficient to handle the increase in load. Can be tricky to handle the performance during the scaling.\n\n### Warm Standby\n\nOverview: Keep a scaled-down but fully functional version of your application running in another region.\n\n**Pros:**\n- **Reduced Downtime:** Faster recovery times with minimal data loss.\n- **High Availability:** Ensures services are running and can quickly scale up.\n\n**Cons:**\n- **Higher Cost:** More expensive than pilot light due to running a functional environment continuously.\n- **Resource Management:** Requires continuous monitoring to ensure your environment is up-to-date and ready\n\n### Multi-Site Active/Active\n\nOverview: Run your application simultaneously in multiple regions, providing immediate failover capability.\n\n**Pros:**\n- **Immédiate Failover:** Provides the highest availability\n- **Load Distribution:** Balances load across multiple sites, improving performance and resilience\n\n**Cons:**\n- **High Cost:** Most expensive solution due to the need to maintain multiple active environments and can multiple the egress cost.\n- **Complexity:** Requires sophisticated configuration and synchronization.\n\n### Disaster Recovery as a Service (DRaaS)\n\nOverview: Outsource disaster recovery to a third-party service provider that handles all aspects of the DRP.\n\n**Pros:**\n- **Simplified Management:** The provider handles the complexity of your DRP.\n- **Expert Support:** Access to specialized expertise and advanced DR technologies.\n\n**Cons:**\n- **Dependence on Provider:** Reduced control over the events or recovery process.\n- **Cost:** Can be expensive, depending on the SLAs and features offered.\n\nBuilding a Disaster Recovery Plan is an ongoing process that requires regular updates and improvements. Do not forget the retention, frequency, security, restoring plan but this is subject for my next post. Stay proactive, and your application will remain resilient in the face of the next Black Swan.","createdAt":"2024-08-06T12:42:46.884Z","updatedAt":"2024-10-28T16:22:21.107Z","publishedAt":"2024-08-08T09:50:11.356Z","locale":"en","tags":"Cloud \nDRP\nHow to","popular":false,"articleOfTheMonth":false,"category":"Build","timeToRead":6,"excerpt":"Build a robust DRP for your applications with this guide on risk assessment, planning, implementation, testing, and maintenance, ensuring resilience and recovery readiness.","author":"Jaime Bernabe ","h1":"Creating a Resilient Disaster Recovery Plan for Native Cloud Applications: An In-Depth Guide","createdOn":"2024-08-06","image":{"data":{"id":2951,"attributes":{"name":"Kubernetes-Kosmos-Card.webp","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Kubernetes_Kosmos_Card_0b59750ccc.webp","hash":"large_Kubernetes_Kosmos_Card_0b59750ccc","mime":"image/webp","name":"large_Kubernetes-Kosmos-Card.webp","path":null,"size":"572.11","width":1000,"height":618},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Kubernetes_Kosmos_Card_0b59750ccc.webp","hash":"small_Kubernetes_Kosmos_Card_0b59750ccc","mime":"image/webp","name":"small_Kubernetes-Kosmos-Card.webp","path":null,"size":"132.19","width":500,"height":309},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Kubernetes_Kosmos_Card_0b59750ccc.webp","hash":"medium_Kubernetes_Kosmos_Card_0b59750ccc","mime":"image/webp","name":"medium_Kubernetes-Kosmos-Card.webp","path":null,"size":"315.45","width":750,"height":464},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Kubernetes_Kosmos_Card_0b59750ccc.webp","hash":"thumbnail_Kubernetes_Kosmos_Card_0b59750ccc","mime":"image/webp","name":"thumbnail_Kubernetes-Kosmos-Card.webp","path":null,"size":"32.25","width":245,"height":152}},"hash":"Kubernetes_Kosmos_Card_0b59750ccc","ext":".webp","mime":"image/webp","size":335.63,"url":"https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-11-15T06:04:15.955Z","updatedAt":"2023-11-15T06:04:15.955Z"}}}},{"title":"How Everdian delivers “life-saving” real-time critical insights, via AI","path":"how-everdian-delivers-life-saving-real-time-critical-insights-via-ai/","description":"_Why does the new generation of European AI startups increasingly turn to Scaleway? It’s not just to access the European cloud’s most powerful GPU cluster. As Cedric Milinaire, Director General \u0026 CTO of France’s [Everdian](https://everdian.com/) explains, it’s also to accelerate growth, as Scaleway’s simplicity means new team members can be onboarded in just a few weeks. Find out more below!_\n\nEverdian is an AI startup specialized in real-time decision making. Its main differentiator is that it **uses multiple proprietary AI models capable of analyzing large streams of data in real time**, to alert strategic decision makers about key ongoing events. Users can build custom dashboards to visualize results and generate their own alerts.\n\nBased on algorithms that could broadly be classified as NLP (Natural Language Processing), its activity covers:\n\n-\tReal-time security alerts (for example, if there’s a fire alert in a building, the AI helps to get the news out there, and show relevant videos to facilitate fast localization of the fire)\n-\tMulti-source monitoring, to detect fast-spreading topics, and for fact checking\n-\tIn the financial sector, predicting market shares and stock evaluations, as well as sentiment detection with regards to big announcements\n-\tMany other use cases, such as finding a client’s stolen assets on second hand reseller platforms.\n\n\nEverdian uses all types of data, including text, images and videos. For training, the team annotates real world data, then adds synthetic data to improve it. **Today, the metadata is often more important than the data itself. So Everdian needs to tweak the datasets to optimize its effects**. This can lead to significant improvements in the fields of privacy and energy efficiency.\n\n\n## How it works\n\nAI startups are everywhere right now, as are hype-fueled funding rounds. But Everdian’s objective is to make a difference in the real world.\n\n**“When you handle use cases with human lives at stake, ten seconds is really important,”** says Milinaire. “For example, we’re used by search and rescue teams to alert them about the occurrence of fire incidents. We provide context with live video feeds and various information posted online. Without us, the only information they may have is that the fire’s in the building. **We can tell them - based on data posted online - it’s on the 5th floor and not the 6th. And that saves lives.”**\n\nTo perform such a feat, Everdian collects data streams into large graphs and analyzes the multiple data points; the level of filtering depends on the services and use cases.\n\nFor instance, image analysis services provide more accurate reports than public opinions (often blurry and contradicting). Then feedback correlation and source comparison will provide a clear idea of any situation and enable Everdian to share the most relevant information. \n\nThe startup’s proprietary clustering algorithm and AI models analyze image and video similarity, in order to only keep relevant ones. Naturally, the larger the dataset, the harder it is to filter through the noise. \n\nIndeed, the most frequent challenge is understanding the different data points. **When Everdian detects critical events, it only wants images of that event, not of people giving their opinion about it**. And it needs to select the one best video - not several - that gives the clearest idea of what’s happening. In short, to be able to share only the most relevant and critical information first.\n\n\n## Why they chose Scaleway\n\nEverdian’s number one need is GPUs, “because we analyze millions of texts and images”, says Milinaire, “**so we need access to a whole cluster of GPUs in order to optimize our models, syncing them to the hardware. So [Scaleway’s H100s](https://www.scaleway.com/en/h100-pcie-try-it-now/) are really useful for us**.”\n\nThey also need highly efficient storage; this is important when handling large amounts of data. For this, Everdian uses Elasticsearch, as it allows for archiving that lets clients “dig through data”, as Milinaire puts it. Everdian uses snapshots on Scaleway Block Storage here.\n\nSo the startup’s main pain points were:\n\n1.\tCost, as GPUs are expensive\n2.\tAvailability: H100 only available as spot instances at first\n3.\tVariety: Everdian’s work requires a wide variety of GPUs _(we’re working on it!)_\n\n\nWhen searching for a cloud provider, Scaleway’s offering and tools largely matched Everdian’s requirements. The main drawback was the security part, as Scaleway was less advanced than other CSPs at that time. Security is a key factor for Everdian, as all new customers demand comprehensive documentation and guarantees on this front.\n\n**In the end, the tradeoff was positive, as Everdian’s choice meant they could access advanced cloud features and considerable quantities of GPUs**. Individual NVIDIA H100s, as well as entire clusters, are required to analyze millions of texts and images. After that, models are optimized, in sync with the hardware capabilities of each machine.\n\n\n## Building the architecture\n\nTo provide a solution able to auto-scale, auto-heal and auto-upgrade, the decision was made to **containerize everything and always build on Kubernetes** (via Scaleway’s [Kapsule](https://www.scaleway.com/en/kubernetes-kapsule/) product). Then, due to the complexity of data sources, services and customers it has to manage, Everdian opted for a microservices-focused approach. \n\nTheir main feature request was for dedicated control planes (in general availability since Autumn 2023) to enable higher levels of resilience and controls. Then, they built everything around those Kubernetes clusters: backups, data and videos, all hosted on Object Storage.\n\nEverdian’s tech teams have notably praised the simplicity and efficiency of Scaleway Kapsule, especially compared with larger CSPs’ equivalent products.\n\nThey were also reassured by [VPC](https://www.scaleway.com/en/vpc/), where the ability to communicate between different zones, thanks to Scaleway’s Multi-AZ offering, where data is redundant across several availability zones, was perceived as a great advantage. Everdian started in the PAR 1 data center region, then extended to PAR 2 to access those lovely new GPUs, whilst accessing a better level of resilience and reliability.\n\nOne missing feature is still the VPN, that Everdian completed themselves for their internal tooling. Their feedback has been noted and Scaleway’s team is working on it.\n\nMilinaire’s current wishlist now includes managed Elasticsearch: a wish Scaleway heard, and so is now looking for others’ points of view in its product discovery approach.\n\n\n## Preparing the next stages of growth by faster onboarding\n\nEverdian found that Scaleway was the ideal cloud provider to ramp up their teams’ technical expertise quickly. “**On Scaleway’s platform, our tech teams were operational in a matter of weeks; much faster than with hyperscaler cloud providers**,” says Milinaire, who adds:\n\n**“We hired a DevSecOps. I didn’t explain anything about Scaleway to him. I just said ‘this is in the Scaleway console, figure it out. You can do it!’ Not long afterwards, he was creating VPCs everywhere!”**\n\nAnother example was remote employees, who require quick and autonomous onboarding to use other services in a matter of days, without any mentoring or further explanations.\n\nCompared with hyperscalers, this accessibility helps Everdian’s teams be more productive and enables the company to welcome new tech staff more quickly, thereby boosting their impact. With other providers, a non-knowledgeable team member would take weeks to onboard, after reading documentation before being able to start using their first cloud products. \n\nEverdian also cites the **proximity of Scaleway’s support staff as a key differentiator: “my feedback is always taken into consideration”**, says Milinaire.\n\nThis will be critical for Everdian’s next stages of growth, given its ambitious roadmap. Such as reworking the organization and project leveraging new features, along with the always improving IAM and network capabilities of Scaleway. \n\nAnother area of improvement will be the AI model optimization - as Everdian grows, their consumption of compute power grows exponentially - needing detailed attention of their AI scientists and technology teams. \n","createdAt":"2024-07-22T12:58:29.370Z","updatedAt":"2024-08-08T12:47:00.644Z","publishedAt":"2024-07-22T13:09:56.966Z","locale":"en","tags":"AI\nTestimonial","popular":false,"articleOfTheMonth":false,"category":"Scale","timeToRead":4,"excerpt":"AI startup Everdian chose Scaleway not just for its powerful GPU clusters, but also because Scaleway’s simplicity means new team members can be onboarded in just a few weeks. More inside!","author":"Jean-Baptiste Fourmont","h1":"How Everdian delivers “life-saving” real-time critical insights, via AI - interview with Cedric Milinaire","createdOn":"2024-07-22","image":{"data":{"id":3241,"attributes":{"name":"Natural-Language-Processing-AI-Illustration-Blog.webp","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp","hash":"large_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87","mime":"image/webp","name":"large_Natural-Language-Processing-AI-Illustration-Blog.webp","path":null,"size":"284.79","width":1000,"height":618},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp","hash":"small_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87","mime":"image/webp","name":"small_Natural-Language-Processing-AI-Illustration-Blog.webp","path":null,"size":"108.87","width":500,"height":309},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp","hash":"medium_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87","mime":"image/webp","name":"medium_Natural-Language-Processing-AI-Illustration-Blog.webp","path":null,"size":"194.75","width":750,"height":464},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp","hash":"thumbnail_Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87","mime":"image/webp","name":"thumbnail_Natural-Language-Processing-AI-Illustration-Blog.webp","path":null,"size":"38.57","width":245,"height":152}},"hash":"Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87","ext":".webp","mime":"image/webp","size":366.43,"url":"https://www-uploads.scaleway.com/Natural_Language_Processing_AI_Illustration_Blog_1f9c21fa87.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2024-02-15T13:43:21.487Z","updatedAt":"2024-10-14T14:18:30.813Z"}}}},{"title":"How we rebranded Scaleway in three months, navigating uncharted territories - Part 1","path":"how-we-rebranded-scaleway-in-three-months-navigating-uncharted-territories-part-1/","description":"## Part 1: From “cloud of choice” to “cloud empowered” ⚡️\n \n2023 marks the year when Xavier Niel, the Iliad Group, and Scaleway **announced a considerable** [investment in AI](https://www.maddyness.com/2023/11/17/xavier-niel-reunit-un-casting-5-etoiles-pour-defendre-une-ia-open-source-a-la-francaise/). This major technological shift was set to irreversibly change cloud consumption habits in the market.\n\n**It was time to rethink our brand to align with this new ambition**. \n\nThe timing was also perfect with the growing momentum around AI, and the major shift this new technology was bringing to the sector. This momentum would culminate at [ai-PULSE](https://www.ai-pulse.eu/), which was set to gather the domain's leaders in Paris that November.\n\nIt was really challenging; but we did it! And we are excited to share this journey with you today. Brace yourself!\n\n\n\n## Setting the stage for brand scaling ⛰️ \n\n\n### The mission brief\nAfter the initial excitement of the announcement, one thing became clear: **our existing brand seemed disconnected from our new goals and the expansion of our audience**. \nThe lone developer behind their code screen was no longer our sole focus. We now had to captivate larger enterprises across many new sectors, or cutting-edge startups focused on AI, with high expectations for sophistication and professionalism.\n\n**Today, our offering revolutionizes cloud architectures, bringing innovation and performance to an unprecedented level, including AI-driven solutions**.\n\n![This colorful brand has served us well for three wonderful years](https://www-uploads.scaleway.com/1_oldbrand_95e713db3d.webp)\n\n\nWe knew that to embody this **true technological turning point**, it was necessary to initiate **a graphical shift**.\n\nHowever, the main challenge was that our rebranding initiative wasn't just about changing our main assets and calling it a day. It involved **updating a huge entire system and visual language that serves as the foundation across thousands of assets** for all our Scalers. This required careful planning for long-term updates, ensuring seamless operational continuity amidst our rapid company growth.\n\nAnd as a concrete example, consider our extensive catalog of products, each accompanied by its own illustration. **We needed to update and continuously create these numerous product illustrations in a consistent style**. This ongoing task, among many others, was essential to maintain a cohesive visual identity that resonated with our evolving brand story. \n\n**While rethinking all our existing assets, we also needed to ensure that our new brand could scale smoothly with our rapidly growing product offer**.\n\n\n![50 product images to update if we were to change our identity... and new ones to create every month](https://www-uploads.scaleway.com/2_oldproducts_962c507bba.webp)\n\n\n### Changing our identity while preserving our DNA\n\nBeyond our transformation, **it was essential to preserve our brand DNA**. We wanted to remain recognizable, clearly delineate the visual evolution, and retain what appealed to our users:\n\n- **Our logo would remain unchanged** because it is well recognized by our users and any change seemed risky\n- **Purple**, a rare color among European cloud providers, had to be retained to set us apart\n- **We still wanted to keep an important dose of color**, to avoid becoming monochrome\n- **2D illustrations, although less prominent**, would be maintained, but with less central importance\n- **We reduced figurative illustrations**, such as those featuring people, to signify the shift to a less playful, more mature image\n- **Our mascot, Skylar**, would not disappear completely, but would be less used in our external communication\n- **We would retain the ‘Inter’ font**, chosen over a year ago due to its readability and clarity on our interfaces and website.\n\n\nLast but not least… We began this project in June 2023, and had only three months to change everything. **Everything had to be ready by early November to launch our new brand at ai-PULSE**, the flagship event on artificial intelligence in Europe that we are organizing. We were in the starting blocks!\n\n![What a perfect, ideal, and BEAUTIFUL schedule, isn't it? Well... Part 2 of this article will surprise you with what real planning ended up looking like!](https://www-uploads.scaleway.com/3_planning_80404e7a5d.webp)\n\n\n\n## Choosing the best allies for the best results 🦸 \n\n### Graphic exploration without limitations\n\nTo assist us in this mission, we decided to work with exceptional talents: [Anne Thai](https://www.linkedin.com/in/annethai/), a talented artistic director, and Romain Briaux (founder of [Hervé Studio](https://www.herve.paris/). Two experts with advanced 3D skills and extensive experience in branding and visual storytelling. **With their expertise and our vision, we had everything we needed to create a strong new image for Scaleway**. \n\nWe sought something entirely new, free from creative constraints, for the initial spark. \n\nThe first benchmarks were promising, featuring strong visual storytelling but with a subtle and elegant expression around the theme of space:\n![](https://www-uploads.scaleway.com/4_benchmarks_d67b364267.gif)\n\n\nThe 3D approach introduced a sophisticated aesthetic to our brand perception. It perfectly fulfilled our desire for a distinctive identity while aligning with industry trends, and the initial creative directions truly captivated us.\n\n![](https://www-uploads.scaleway.com/5_explorations_37e2e91895.webp)\n\n\n## The beginnings of a new graphical universe 🪐\n\nAlthough we liked all the approaches, some were too abstract and minimalist, which created too radical a break from the existing brand.\n\n**We gathered feedback from our best user advocates**, the product managers, and product marketing managers. Their involvement at this stage was important to truly embrace the change, and spread it both internally and externally. \n\nIt took a few adjustments to achieve a rendering that marked a true departure from the old style without deviating too much from the original visuals. We aimed to avoid causing confusion among our audience.\n\nTo find the right balance, we chose an approach **inspired by the shapes of our current products, but with a very different graphical treatment**.\n\nJust as the sun illuminates the planets, our 3D product illustrations are lit by their environment. When you rotate them 360 degrees, the lighting changes, mimicking the sun's movement around the Earth.\n\n![](https://www-uploads.scaleway.com/6_iterations_fce7c46763.webp)\n\n\n**Each of the 50 visuals required special attention** to perfectly align with the new brand aesthetic. Our goal was to change the perception of our offering with these new, more understated, less colorful, and less cluttered renderings.\n\n\n\n![Each product visual required several days of work](https://www-uploads.scaleway.com/7_newproducts_a4fd716acc.webp)\n\nIn parallel with these product visuals, which hold a central place in our brand, we collaborated with Anne and Romain **to create a generic and central Key Visual that represents the essence of our offering**. Our objective was to convey the idea of a complete, modular, interconnected ecosystem that reflects the power of our infrastructures. \n\nCreatively, this challenge was not easy to meet. We explored various visual renderings, playing with abstraction, movement, light effects, as well as notions of space and floating, while integrating our product visuals.\n\n![](https://www-uploads.scaleway.com/8_keyvisualexplo_2f0ff29400.webp)\n\nWe ultimately opted for the concept of interconnected platforms with an isometric perspective. The metallic texture of the background allowed for the reflection of off-screen lights, which we also incorporated into our product visuals, ensuring perfect coherence with our new graphic approach.\nThis visual was modular: by changing the displayed products, **it perfectly illustrated the idea of a customizable cloud infrastructure**, tailored to the specific needs of our clients.\n\n![A modular and impactful Key Visual](https://www-uploads.scaleway.com/9_keyvisual_423893e413.webp)\n\nThis visual served as the basis for the introductory video presenting our new offering. Created by Hervé Studio, it announced our new positioning and unveiled our new identity. **This element represented the culmination of all our creative work, encapsulated in a powerful and engaging narrative**.\n\nThe result is stunning - a big shoutout to Hervé Studio for their amazing work!\n\n\u003ciframe width=\"800\" height=\"480\" src=\"https://www.youtube.com/embed/TnDpsRUiBYU?si=MONGkw0Be4zvE-mE\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen\u003e\u003c/iframe\u003e\n\n**We were more than satisfied with the outcome!**\n\nNow that our new visual identity was defined, it was time to integrate this new brand internally and update the numerous assets and layouts that would support it. \n\nStay tuned for part 2 to discover the rest of this adventure!\n![](https://www-uploads.scaleway.com/11_finish_d304164ed9.gif)\n","createdAt":"2024-07-08T13:02:55.526Z","updatedAt":"2024-07-08T14:42:33.562Z","publishedAt":"2024-07-08T14:11:31.464Z","locale":"en","tags":"Design","popular":false,"articleOfTheMonth":false,"category":"Deploy","timeToRead":5,"excerpt":"The onset of major cloud industry changes, including the arrival of AI, drove our Design team to rebrand Scaleway in just three months. How? Find out here!","author":"Jess Anelli","h1":"How we rebranded Scaleway in three months, navigating uncharted territories ✨ Part 1","createdOn":"2024-07-09","image":{"data":{"id":3823,"attributes":{"name":"Cover.webp","alternativeText":null,"caption":null,"width":1920,"height":1110,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Cover_4054f8d0da.webp","hash":"large_Cover_4054f8d0da","mime":"image/webp","name":"large_Cover.webp","path":null,"size":"280.56","width":1000,"height":578,"sizeInBytes":489115},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Cover_4054f8d0da.webp","hash":"small_Cover_4054f8d0da","mime":"image/webp","name":"small_Cover.webp","path":null,"size":"65.11","width":500,"height":289,"sizeInBytes":125485},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Cover_4054f8d0da.webp","hash":"medium_Cover_4054f8d0da","mime":"image/webp","name":"medium_Cover.webp","path":null,"size":"148.34","width":750,"height":434,"sizeInBytes":271063},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Cover_4054f8d0da.webp","hash":"thumbnail_Cover_4054f8d0da","mime":"image/webp","name":"thumbnail_Cover.webp","path":null,"size":"21.15","width":245,"height":142,"sizeInBytes":39461}},"hash":"Cover_4054f8d0da","ext":".webp","mime":"image/webp","size":302.04,"url":"https://www-uploads.scaleway.com/Cover_4054f8d0da.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2024-07-08T14:05:38.368Z","updatedAt":"2024-07-08T14:05:38.368Z"}}}}],"popularPosts":[{"title":"best-quotes-ai-pulse-2024-keynotes","path":"best-quotes-ai-pulse-2024-keynotes/","description":"_The second edition of ai-PULSE, held at Paris's iconic Station F on November 7, kicked off with a powerful morning session that highlighted some of the most important voices in AI today. The morning’s keynote speakers shared their insights into the latest advancements, the growing power of open-source AI, and the urgent need for Europe to position itself as a hub for sovereign, open, and efficient AI solutions._\n\n\n## A future shaped by open, efficient, and sovereign AI\n\nEurope is not only catching up with AI powerhouses in the US and China, but is emerging as a formidable force in its own right. **Xavier Niel, Founder of Iliad Group,** began his address with a bold statement: \"18 months ago, when we said we wanted to create a tech AI conference in Paris, people told us, 'Guys, you're completely crazy, Europe has no AI ecosystem!' Today, we are proving them wrong.\" He added, \"thanks to our talent, we’re building amazing startups like **Mistral, Poolside,** and **Argil.** And to keep that talent, we’ve created **Kyutai**, where we’re assembling the **‘Avengers of AI’,** bringing together the best minds to develop open source AI models in Europe, built according to our values and regulations.\"\n\n![Xavier Niel](https://www-uploads.scaleway.com/AI_Pulse_0443_2a6832e2ad.jpg)\n\nOne of the most exciting innovations to emerge from **Kyutai** is [Moshi](https://moshi.chat/), an open source conversational AI model. \"Moshi is the first truly **open-source AI model** created in Europe, and it’s completely free to use. It’s a game-changer for the industry,\" **Niel** declared. \n\n**Damien Lucas, CEO of Scaleway** and **Aude Durand, Deputy CEO of iliad Group,** took to the stage next, declaring that **Moshi** is now available as a one-click deployment service through Scaleway's platform.\n\n**Durand** then emphasized the theme of this year’s event: \"Big, Efficient, Open.\" \"In AI, we know that top-tier models require immense computational power,\" she said. **Lucas** added: ”Scaleway is proud to support **cutting-edge AI models** by offering access to **3000 NVIDIA H100 GPUs today** - triple our total this time last year - and in the coming weeks, **we will surpass 5000 GPUs.** This will allow developers across Europe to leverage the power of AI, while minimizing **environmental impact.**\"\n\n![Aude Durand and Damien Lucas](https://www-uploads.scaleway.com/Aude_Durand_and_Damien_Lucas_5e4ed468a5.jpg)\n\nAs part of its commitment to sustainable AI, **Scaleway** has also launched its new [Environmental Footprint Calculator](https://www.scaleway.com/en/environmental-footprint-calculator/). \"Transparency matters,\" said **Lucas.** \"We want to give developers the tools to understand the environmental impact of their AI workloads, covering everything from emissions to water consumption. It’s the most comprehensive calculator available today, and it’s already in beta.\" Lucas also unveiled [Generative APIs](https://www.scaleway.com/en/generative-apis/), a new Scaleway service which allows developers to move from Open AI to alternative open source models in just one line of code. More about Scaleway's ai-PULSE announcements [here](https://www.scaleway.com/en/news/scaleway-affirms-ais-big-efficient-and-open-future-at-ai-pulse-2024/).\n\n**Michael Dell, Chairman and CEO of Dell Technologies,** then shared his thoughts on the accelerating pace of AI innovation, drawing comparisons with the rise of the internet. \"If you remember **the internet in the mid-90s**, people were wondering what it really meant,” he said. “It took about a decade before the full impact was understood. We're in that same phase with AI today.\" **Dell** then asserted his belief in the transformative power of AI, both in the cloud and on-device: “AI will be used **both on the cloud and on devices.** It will be used at the edge, on the point of activity closest where the action is. It will run on cloud platforms, on your phone, in cars, factories, and retail stores,” he said. \n\n**Dell** also spoke passionately about open-source AI, emphasizing that it is a critical driver of innovation. \"**Open-source AI has already revolutionized the field**, and it’s just getting started,\" he enthused. \"**Last year would’ve been more about closed models; the world has shifted now. Two thirds of activity is now happening in open models**; derivative, small models that don’t necessarily need to run on massive clusters.\"\n\n \n![Michael Dell, Dell](https://www-uploads.scaleway.com/AI_Pulse_0578_a46729ee39.jpg)\n\nAs AI continues to evolve, **Dell** predicted \"we’re transitioning **from calculating to thinking.** The future of AI will require new architectures that bring together data, computing, and cognition in a way that helps humans become more successful,\" he explained.\n\n\n## The road to power-efficient AI\n\n**Renee J. James, Chairman and CEO of Ampere Computing,** took the stage next to talk about the future of AI hardware. She reflected on the importance of power efficiency in AI infrastructure. “We set out to build something twice as powerful, but with half the energy consumption, and we ended up getting **3 to 4 times the performance,**” said **James.**\n\n![Renee J. James, Ampere Computing](https://www-uploads.scaleway.com/AI_Pulse_0822_07e72ff1c0.jpg)\n\nIn a speech echoing her CPO **Jeff Wittich’s** [assertion last year](https://www.scaleway.com/en/blog/why-cpus-also-make-sense-for-ai-inference/) that Ampere CPUs could handle many inference workloads whilst using 3-5 times less energy than comparable GPUs, she stressed that **AI hardware, particularly processors, need to evolve to meet the increasing demands of AI models.** “Today, we are all about training models, we have people building unlimited clusters to train,” she explained. “But as [AI] starts to moderate and become mainstream, **we have to make it affordable and environmentally efficient,** because we don’t have more power. That's the journey we are going to begin.”\n\n**James** also pointed out that **Europe has an untapped wealth of intellectual talent,** especially in computer architecture, and she believes the continent must focus on increasing investment levels to continue pushing the boundaries of AI hardware. “Access to capital is one of the most important things that needs to continue to improve and the ability for investors to take more risks,” she concluded.\n\n![Renen Hallak, VAST Data, and Aude Durand](https://www-uploads.scaleway.com/AI_Pulse_1195_498a6c0c48.jpg)\n\n**Renen Hallak, Founder and CEO of VAST Data,** agreed with James on the growing importance of efficient data management in **AI scaling.** “AI is changing from allowing us to analyze numbers and rows and columns to pictures and videos, natural language and sound. Older systems were not built for that. So we need to break that paradigm, and that requires a **new software architecture,**” said **Hallak.** He then discussed the shift from CPUs to GPUs for data analysis, emphasizing the need for new software architectures “when you build exabyte-scale clusters that need to manage themselves.” **Hallak** also addressed the growing role of AI agents in problem-solving. “**AI agents will soon be communicating with each other, generating ideas, and solving problems that humans cannot solve on their own,”** he said.\n\n**Bryan Catanzaro, VP of Applied Deep Learning Research Research at NVIDIA,** and **Jean-Baptiste Kempf, Scaleway’s Chief Technical Officer,** shared insights on the future of AI infrastructures. Catanzaro discussed the challenges of scaling AI models, particularly when it comes to GPU clusters. “**We’re going to find that instead of putting a million GPUs in a single data center, we're going to run training and inference in a more distributed way, so we can have better access to electricity, and scale in a more efficient way**,” he said, highlighting the importance of optimizing AI for **both performance and sustainability.**\n\n![Bryan Catanzaro, NVIDIA, and Jean-Baptiste Kempf](https://www-uploads.scaleway.com/AI_Pulse_0947_7cb28e1cf6.jpg)\n\n**Kempf echoed** this sentiment, explaining that new AI models will need to be designed with compute efficiency top of mind. “We talked about thousands or hundreds of thousands of GPUs for training, but **90% of the compute power will actually be dedicated to inference.** So, I don't believe we’ve reached the maximum capacity for inference yet,” he said.\n\n**Catanzaro** added, “we change everything at NVIDIA. My job is to figure out how to change our models and make them much more efficient, both for training and deployment. **NVIDIA is not just a chip company; we focus on accelerating computing through full-stack optimization.** The level of specialization that goes into our GPUs for AI is something we decide on every day, focusing most importantly on machine learning and intelligence.”\n\n\n## Multimodal foundation mode and groundbreaking voices in AI\n\n**Patrick Perez, CEO of Kyutai,** then spoke about the groundbreaking work behind **Moshi**. “Since launching in mid-September, **Moshi has already been experienced by over half a million people**,”said Perez. He explained that Moshi is more than just a conversational AI; it is a **multimodal foundation model** capable of performing various tasks, from speech synthesis to question answering. “What we’ve created with Moshi is not just a voice model, but a platform for developers to innovate on top of,” he added. **The open-source nature of Moshi is a key part of Kyutai’s mission to democratize AI and ensure that European models can compete on the global stage.**\n\n![Patrick Perez, Kyutai](https://www-uploads.scaleway.com/AI_Pulse_1261_f265aaf8ab.jpg)\n\n**Charles Kantor, CEO of H** then addressed the potential of action models in AI, highlighting the importance of **combining LLMs (Large Language Models) and VLMs (Vision Models) for specialized tasks.** \"Action models are incredibly powerful today. By orchestrating LLMs that generate plans and workflows and VLMs that understand interfaces like desktop or Android, you can create systems that can take action effectively,\" said Kantor. He also emphasized the need for **sector-specific focus**: \"the goal is to focus on one industry and master it, building a holistic system with well-orchestrated layers.\"\n\n![Charles Kantor, H](https://www-uploads.scaleway.com/AI_Pulse_1478_966c47ed21.jpg)\n\n## Building an inclusive AI ecosystem\n\n**Clara Chappaz, France’s Secretary of State for AI and Digital Affairs,** concluded the morning's sessions by discussing the importance of building a distinctive AI ecosystem in Europe. \"We are at the very beginning of this technology. **It’s crucial to ensure AI is inclusive, frugal, and ethical**,\" said Chappaz. She praised **France’s strong educational system for producing top AI talent,** and emphasized the role of infrastructure and private companies, like **Scaleway,** in providing the necessary tools for that talent to thrive and launch companies in France. \n\n![Clara Chappaz](https://www-uploads.scaleway.com/AI_Pulse_1616_f2ee613181.jpg)\n\nWith AI’s growing energy demands, she mentioned the need for green energy in powering infrastructures. “**We [in France] have some of the greenest (lowest carbon) energy in the world.** You all know how much these machines consume when it comes to power and we need to think about how we feed these models with energy that is green, how do we continue fostering these technologies without damaging the planet.” \n\n![Aude Durand, Clara Chappaz \u0026 Damien Lucas](https://www-uploads.scaleway.com/AI_Pulse_1713_e3eb7c2284.jpg)\n\nFor Chappaz, what's required is a **'third way' for AI;** a new, collaborative, and inclusive approach to AI development, distinct from the competition-driven dynamics seen in the US and China. “The way we want to build this ecosystem and want to use AI is a way that can resonate with a lot of people. We like to call it the third way; one that brings people together,\" she concluded. \n\n\n- _This is an extract from Saleway's forthcoming **ai-PULSE 2024 white paper**, which will wrap up all of the event's key AI insights. Watch this space!_\n- _Meanwhile, you can check out replays of all of the above sessions, plus many more besides, on our [YouTube channel](https://www.youtube.com/channel/UC-Le3MdpQ79hWz8_t2_pGEw). Enjoy!_\n","createdAt":"2024-11-18T16:17:38.424Z","updatedAt":"2024-11-19T10:50:36.463Z","publishedAt":"2024-11-19T10:50:36.443Z","locale":"en","tags":"AI\nai-PULSE","popular":true,"articleOfTheMonth":true,"category":"Build","timeToRead":6,"excerpt":"The second edition of ai-PULSE, held at Paris's iconic Station F on November 7, kicked off with a powerful morning session that highlighted some of the most compelling voices in AI today","author":"Salomé Gonzalez","h1":"The Best quotes from ai-PULSE 2024's keynotes","createdOn":"2024-11-18","image":{"data":{"id":4023,"attributes":{"name":"GenericAnnounce-SphereCrop-ai-PULSE-2024-Illustration-Blog.jpg","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".jpg","url":"https://www-uploads.scaleway.com/large_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg","hash":"large_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e","mime":"image/jpeg","name":"large_GenericAnnounce-SphereCrop-ai-PULSE-2024-Illustration-Blog.jpg","path":null,"size":39.49,"width":1000,"height":618,"sizeInBytes":39495},"small":{"ext":".jpg","url":"https://www-uploads.scaleway.com/small_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg","hash":"small_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e","mime":"image/jpeg","name":"small_GenericAnnounce-SphereCrop-ai-PULSE-2024-Illustration-Blog.jpg","path":null,"size":14.72,"width":500,"height":309,"sizeInBytes":14721},"medium":{"ext":".jpg","url":"https://www-uploads.scaleway.com/medium_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg","hash":"medium_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e","mime":"image/jpeg","name":"medium_GenericAnnounce-SphereCrop-ai-PULSE-2024-Illustration-Blog.jpg","path":null,"size":26.44,"width":750,"height":464,"sizeInBytes":26440},"thumbnail":{"ext":".jpg","url":"https://www-uploads.scaleway.com/thumbnail_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg","hash":"thumbnail_Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e","mime":"image/jpeg","name":"thumbnail_GenericAnnounce-SphereCrop-ai-PULSE-2024-Illustration-Blog.jpg","path":null,"size":4.77,"width":245,"height":152,"sizeInBytes":4774}},"hash":"Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e","ext":".jpg","mime":"image/jpeg","size":50.47,"url":"https://www-uploads.scaleway.com/Generic_Announce_Sphere_Crop_ai_PULSE_2024_Illustration_Blog_39c9d72e8e.jpg","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2024-10-02T12:10:04.113Z","updatedAt":"2024-10-02T12:10:04.113Z"}}}},{"title":"kubernetes-tooling-open-source","path":"kubernetes-tooling-open-source/","description":"Kubernetes has become a game-changing technology for container orchestration, and the vibrant open-source community has been a driving force behind its success. The curated selection of Kubernetes tooling presented here shows the breadth and depth of the ecosystem that has grown around Kubernetes.\n\nFrom automation and monitoring to networking and security, these tools provide a solid foundation for managing containerized applications. The ongoing development of new open-source projects within the Kubernetes community is a testament to its vitality and innovation.\n\nIf you have spend countless hours working with Kubernetes, you understand the unique challenges of managing a complex infrastructure at scale. While Kubernetes is an incredibly powerful platform for deploying and managing containerized applications, it can also transform into a complex mess. So let's discover new tools to orchestrate your infrastructure!\n\n![](https://www-uploads.scaleway.com/Kubernetes_tooling_Scaleway_5cef6c71ac.gif)\n\n## Deployment and configuration management \n\n### Kustomize\n[Kustomize](https://kustomize.io/) is a tool that lets you customize Kubernetes resources by applying patches to base configurations. It provides a simple and declarative way to manage your Kubernetes configurations, allowing you to manage different environments and configurations with ease. \n👉 [Kustomize’s GitHub](https://github.com/kubernetes-sigs/kustomize) \n\n### Jsonnet\n[Jsonnet](https://jsonnet.org) is a configuration language that can be used to generate Kubernetes manifests. It provides a clear way to define Kubernetes resources using a flexible and expressive syntax, which can be used to manage complex and large configurations. \n👉 [Jsonnet's GitHub](https://github.com/google/jsonnet)\n\n### Skaffold\n[Skaffold](https://skaffold.dev/) is a command-line tool that streamlines the development workflow for Kubernetes applications. It supports many popular programming languages and development tools, and can be integrated with CI/CD pipelines.\n👉 [Skaffold's GitHub](https://github.com/GoogleContainerTools/skaffold)\n\n### Helm\nHelm is the well-known package manager for Kubernetes that simplifies the installation and management of complex applications. It provides a templating system that allows you to define your applications as charts, which can be effortlessly installed and configured on your Kubernetes cluster. \nYou can also read more on our [blog post about Helm](https://www.scaleway.com/en/blog/helm-guide/).\n👉 [Helm's GitHub](https://github.com/helm/helm) \n\n### Kubeconfig-generator\n[Kubeconfig-generator](https://github.com/kubernetes/kubeconfig-generator) is a tool for generating Kubernetes configuration files (kubeconfig) for multiple clusters and users. With Kubeconfig-generator, you can simplify the process of managing multiple clusters and users by generating configuration files automatically. It supports many popular Kubernetes distributions and can be integrated with CI/CD pipelines. \n👉 [Kubeconfig-generator's Github](https://github.com/kubernetes/kubeconfig-generator) \n\n\n\n## Monitoring and observability \n\n### Prometheus\n[Prometheus](https://prometheus.io) is a monitoring tool that collects metrics from Kubernetes resources and stores them in a time-series database—it is a powerful way to monitor the health and performance of your Kubernetes cluster and applications. \n👉 [Prometheus's GitHub](https://github.com/prometheus/prometheus) \n\n### Thanos\n[Thanos](https://thanos.io) is a tool that extends Prometheus by adding long-term storage, global querying, and cross-cluster federation capabilities to store your Kubernetes metrics over a long period of time. \n👉 [Thano's GitHub](https://github.com/thanos-io/thanos) \n\n### Grafana\n[Grafana](https://grafana.com) is a visualization tool that can be used with Prometheus to create dashboards and visualizations of your Kubernetes metrics, making it smoother to understand the health and performance of your applications. \n👉 [Grafana's GitHub](https://github.com/grafana/grafana) \n\n### Kubevisor\n[Kubevisor](https://kubevisor.io) is a lightweight and extensible Kubernetes resource monitor that provides real-time insights into the health and performance infrastructure. You can visualize resource usage and metrics, set alerts and thresholds, and troubleshoot issues quickly. Kubevisor supports many popular Kubernetes distributions and can be integrated with Prometheus and Grafana. \n👉 [Kubevisor's GitHub](https://github.com/kubevisor/kubevisor)\n\n\n### Sysdig\n[Sysdig](https://sysdig.com) unifies visibility, security, and compliance for Kubernetes and other cloud-native technologies. It allows you to monitor your Kubernetes infrastructure and applications in real-time, detect security threats and vulnerabilities, and enforce compliance policies. Sysdig provides a set of features for monitoring and observability, including container visibility, network security, and compliance auditing. \n👉 [Sysdig's GitHub](https://github.com/sysdiglabs) \n\n\n\n## Logging and tracing \n\n### Elasticsearch\n[Elasticsearch](elastic.co) is a search engine that can be used to store and search logs generated by Kubernetes resources. It simplifies the management and search of logs in Kubernetes to troubleshoot issues in your applications. \n👉 [Elasticsearch's GitHub](https://github.com/elastic/elasticsearch)\n\n### Fluentd\n[Fluentd](https://www.fluentd.org) is a data collection tool that can collect logs and send them to Elasticsearch or other destinations. \n👉 [Fluentd's GitHub](https://github.com/fluent/fluentd) \n\n\n### Jaeger\n[Jaeger](https://www.jaegertracing.io) is a distributed tracing system that can be used to monitor the performance of your Kubernetes applications by tracing requests through your Kubernetes cluster, making it easy to identify performance bottlenecks and troubleshoot issues. \n👉 [Jaeger's GitHub](https://github.com/jaegertracing/jaeger) \n\n### OpenTelemetry\n[OpenTelemetry](https://opentelemetry.io) provides a vendor-neutral and language-agnostic way to collect, process, and export telemetry data to collect logs, traces, and metrics from your applications and infrastructure, and export them to popular observability platforms such as Prometheus and Grafana. 👉 [OpenTelemetry's GitHub](https://github.com/open-telemetry) \n\n### Fluent Bit\n[Fluent Bit](https://fluentbit.io) is a lightweight and high-performance log and event collector that supports many popular logging systems and formats. With Fluent Bit, you can collect and process logs from your Kubernetes applications and infrastructure, and export them to popular logging platforms such as Elasticsearch and Splunk. \n👉 [Fluent Bit's GitHub](https://github.com/fluent/fluent-bit) \n\n\n## Networking and service discovery \n\n### CoreDNS\n[CoreDNS](https://coredns.io) is a DNS server that can be used to provide service discovery within your Kubernetes cluster to manage DNS records for your Kubernetes resources, making it easy to discover and communicate with services within your cluster. \n👉 [CoreDNS's GitHub](https://github.com/coredns/coredns)\n\n### Traefik\n[Traefik](https://traefik.io) is a reverse proxy and load balancer that can be used to manage network traffic between Kubernetes resources to manage network traffic and enforce security policies to secure and optimize communication between your Kubernetes resources. \n👉 [Traefik's GitHub](https://github.com/traefik/traefik)\n\n### Istio\n[Istio](https://istio.io) is a service mesh that can be used to manage and secure communication between services within your Kubernetes cluster to manage traffic routing, load balancing, and security policies. \n👉 [Istio's GitHub](https://github.com/istio/istio)\n\n### Contour\n[Contour](https://projectcontour.io) is a Kubernetes ingress controller that provides a high-performance and scalable way to manage incoming traffic. Contour supports many popular features, such as TLS termination, load balancing, and path-based routing. \n👉 [Contour's GitHub](https://github.com/projectcontour/contour)\n\n## Security \n\n### Kubernetes Secrets\n[Kubernetes Secrets](https://kubernetes.io/docs/concepts/configuration/secret) is a tool that can be used to store and manage sensitive information like passwords and API keys. It provides a simple and secure way to manage secrets within your Kubernetes cluster to protect sensitive information. \n👉 [Kubernetes Secrets's GitHub](https://github.com/kubernetes/kubernetes) \n\n### RBAC (Role-Based Access Control)\n[RBAC](https://kubernetes.io/docs/reference/access-authn-authz/rbac) is a security mechanism that can be used to control access to Kubernetes resources based on roles and permissions to manage access control within your Kubernetes cluster, making it easy to enforce security policies. \n👉 [RBAC's GitHub](https://github.com/kubernetes/kubernetes) \n\n### Open Policy Agent (OPA)\n[OPA](https://www.openpolicyagent.org) is a policy engine that can be used to enforce security policies and access control within your Kubernetes cluster to define policies, which can be used to enforce security and compliance requirements. \n👉 [OPA's GitHub](https://github.com/open-policy-agent/opa) \n\n### Kyverno\n[Kyverno](https://kyverno.io) is a policy engine designed for Kubernetes to ensure compliance and security for your Kubernetes infrastructure and applications. Kyverno is easy to deploy and configure and provides a powerful set of features for policy enforcement. \n👉 [Kyverno's GitHub](https://github.com/kyverno/kyverno)\n\n### Gatekeeper\nGatekeeper is a policy engine designed for Kubernetes. It provides a way to enforce policies and rules for Kubernetes resources using the Open Policy Agent (OPA) engine. With Gatekeeper, you can ensure compliance and security for your Kubernetes infrastructure and applications. \n👉 [Gatekeeper's GitHub](https://github.com/open-policy-agent/gatekeeper)\n\n\n## Continuous integration/Continuous deployment \n\n### Dagger\n[Dagger](https://dagger.io/) is a Kubernetes-native deployment tool that simplifies the deployment and management of applications on Kubernetes. With Dagger, you can define and deploy complex applications in minutes, without the need for complex YAML files or custom scripts. It provides a simple and intuitive user interface for managing deployments, with real-time monitoring and logging. \n👉 [Dagger's GitHub](https://github.com/dagger/dagger)\n\n\n### Jenkins\n[Jenkins](https://www.jenkins.io) is a popular CI/CD tool that can be used to automate the process of building, testing, and deploying your applications to Kubernetes. It provides a simple and flexible way to define pipelines, which can be used to automate the entire software delivery process. \n👉 [Jenkins's GitHub](https://github.com/jenkinsci/jenkins) \n\n### GitLab\n[GitLab](https://about.gitlab.com) is a platform that provides CI/CD pipelines for building, testing, and deploying your applications to Kubernetes. It provides a simple and powerful way to manage your source code and automate the software delivery process.\n👉 [GitLab's GitHub](https://github.com/gitlabhq/gitlabhq) \n\n### Argo CD\n[Argo CD](https://argoproj.github.io/cd/) is a tool that can be used to automate the deployment of your applications to Kubernetes by using GitOps principles. It provides a simple and powerful way to manage the deployment of your applications, making it easy to ensure consistency and reliability. \n👉 [Argo CD's GitHub](https://github.com/argoproj/argo-cd) \n\n\n### Tekton\n[Tekton](https://tekton.dev) is an open source framework for building CI/CD pipelines on Kubernetes to define and execute pipelines using Kubernetes resources. Tekton is gaining popularity as more organizations adopt Kubernetes for CI/CD. \n👉 [Tekton's GitHub](https://github.com/tektoncd/pipeline)\n\n\n## Infrastructure-as-Code (IaC)\n\n### Terraform\n[Terraform](https://www.terraform.io) is a tool that can be used to define and manage your Kubernetes infrastructure as code, making it easy to provision and manage your Kubernetes cluster and associated resources.\nLearn how to deploy your Terraform module in a few click with our [guided hands-on here](https://www.scaleway.com/en/blog/terraform-module-deploy-your-infrastructure-in-one-click/).\n👉 [Terraform's GitHub](https://github.com/hashicorp/terraform) \n\n### Ansible\n[Ansible](https://www.ansible.com) is a tool that can be used to automate the provisioning and configuration of your Kubernetes resources. It provides a simple and powerful way to manage your infrastructure, making deploying and managing your Kubernetes resources easy. \n👉 [Ansible's GitHub](https://github.com/ansible/ansible) \n\n### Pulumi\n[Pulumi](https://www.pulumi.com) is a tool that can be used to create and manage your Kubernetes resources using familiar programming languages like Python and JavaScript. \n👉 [Pulumi's GitHub](https://github.com/pulumi/pulumi)\n\n### Crossplane\n[Crossplane](https://crossplane.io) is an open source platform for managing cloud-native infrastructure that helps to manage infrastructure across multiple clouds. Crossplane is gaining popularity as more organizations [adopt multi-cloud strategies](https://www.scaleway.com/en/blog/k8s-multi-cloud/). \n👉 [Crossplane's GitHub](https://github.com/crossplaneio/crossplane) \n\n\n## Final thoughts\n\nThe momentum Kubernetes has right now is driving so many positive things. Every vendor is taking a Kubernetes-first approach to building their solutions and tools. For example, modern applications are being built and packaged to run on Kubernetes, and most innovations in areas like security and development are being built around Kubernetes. As well as this, every major cloud offers its own Kubernetes services. The ecosystem is huge, it’s still growing, and it’s very welcoming. That last bit is helping lower the entry barrier and allowing more people to enter.\n\nAs Kubernetes continues to evolve, we can expect even more exciting developments and advancements to emerge. It's an exciting time to be part of the Kubernetes community, and we look forward to seeing the new tools and solutions that will be developed in the future.\n\n\n\n\n\n\n\n\n","createdAt":"2023-03-23T16:54:22.093Z","updatedAt":"2023-05-03T14:33:39.092Z","publishedAt":"2023-03-23T18:48:10.064Z","locale":"en","tags":"Kubernetes\nDiscover\nQuickstart\nOpen-Source","popular":true,"articleOfTheMonth":false,"category":"Build","timeToRead":7,"excerpt":"Kubernetes has unique challenges in managing a complex infrastructure at scale. 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We’ve achieved a lot in the past year, and we’re only just getting started. In the serverless team, we don't see serverless as a single product, but as an ecosystem, driven by a philosophy of making the cloud easier to use, more efficient, but also more affordable to use., we are committed to delivering a set of services and frameworks that provide a complete serverless experience to a diverse range of applications. In this post we’ll describe the big ideas behind the serverless ecosystem, where we are today, and where we’re going in the future. \n\n## Making the cloud feel like one big operating system \nWriting and running code on a laptop is exactly that, writing the code, then telling the operating system to run it. Developers don't need to specify how to configure or share the underlying resources, which bits of the system to interface with, or what limits they want to enforce. It’s so simple that even children can do it. Serverless is about bringing this same simplicity to the cloud, making it as simple as running an application on your laptop. This means users can focus on writing code, while the serverless platform handles the rest. This means provisioning, configuring, and scaling whatever underlying infrastructure is needed, billing the user only for what they use, and cleaning up afterwards. \n\nWe still have a way to go before we achieve the serverless dream, and today serverless is still synonymous with just two products: function-as-a-service, and container-as-a-service. Both represent a significant step forward in shielding the user from complexity, allowing them to focus on writing code, and billing them only for what they use. However, functions and containers are just the foundations of the larger serverless ecosystem. To provide a complete serverless experience, we must also consider how we compose functions and containers into larger workflows, how we manage state and scale our storage, how we can make it easy to port existing applications, and how we can write new applications for this novel environment. \n\n## How we built our Serverless foundations: Functions and Containers \n\nJust as you can’t build a house on shaky foundations, you can’t build a serverless ecosystem without a solid base. In serverless, this base is Functions-as-a-Service and Containers-as-a-Service. These are the workhorses of serverless, executing user’s code, and scaling on demand. On top of this base of FaaS and CaaS, we can build the rest of our serverless ecosystem. We started work on our FaaS and CaaS products as early as 2019. \n\nAlthough we were quick to get to an MVP, GA was still almost two years away. These two years were spent on building the scaffolding around the core compute product, to create a secure, smooth, production-grade serverless product. Significant projects included the build-and-deploy pipeline, configuring and stress-testing our autoscaling, performance tuning and profiling, scaling the platform across multiple clusters in multiple regions, security audits, and integrating the product into the Scaleway ecosystem. At the time, the company was focused on bare metal and virtual machines, so setting up and running a scalable serverless infrastructure was a big change in mindset. \n\nIt was also a big technical change, as we were sharing infrastructure between tenants at a much higher granularity, and dealing with high-volume, short-lived workloads. This placed increased stress on our metrics, logs, and internal APIs, and required a rethink of how we do observability and billing. It also put a strain on our nascent managed Kubernetes Service, with the volume of containers regularly causing headaches for the Container Registry Service. We launched the working beta in the summer of 2020. \n\nThe platform was slow during the first weeks due to unexpected consumption from the beta testers and we ran into several scaling issues. Through more than a year of beta tests, we gathered lots of feedback on how we could build an even better and more innovative product. Some of the ideas that came out of this process are still in the pipeline, so watch this space! Finally, after two years of work and a last minute bug that almost crashed the product, we were happy to release our serverless platform to the world. Scaleway’s Serverless Functions and Containers entered GA in November 2021. \n\nSince then, we have continuously added features to make our products more performant, flexible, powerful, and easy-to-use. Although we will continue to add features to make these foundations even better (such as support for public and private container registries, new language runtimes, and improved logging and metrics), we are now in the next phase of building our serverless ecosystem. \n\n## What’s next in the serverless ecosystem? \n\nNow that we have a solid foundation in place with Serverless Functions and Containers, we can look to the future of serverless, and what that means for the rest of the ecosystem at Scaleway. We have worked closely with existing users of both serverless and non-serverless products to determine how our serverless ecosystem can best suit their needs. As a result of these consultations, we are now working on a number of products and enhancements that will allow users to build more complex applications, at larger scale, with more data, and more resources. We can break this work down into 5 categories: workflows, storage, programming, developer experience, and performance. ## Workflows Although users can achieve a lot with single functions and containers, the real power of serverless comes from orchestrating multiple functions and containers as part of larger workflows. These workflows can be used for any multi-stage task, from downstream data processing pipelines, to multi-stage image compression and analysis, to distributed machine learning training. Serverless workflows cannot be configured without suitable plumbing to pass data between stages. This is where Scaleway’s new Messaging and Queueing service comes into play. Part of the next phase of our serverless ecosystem is a serverless orchestrator, built on messaging and queueing, which lets users connect functions and containers to a number of different event sources, including queues, publish-subscribe, and Amazon S3 events. \n\n## State and storage \nCompute isn’t much use without access to data, so in addition to serverless functions and containers, we need to provide serverless storage. Serverless storage shares many of the properties as serverless compute, namely users don’t have to provision or scale the underlying infrastructure, and they pay only for what they use. Object storage has provided a form of serverless storage for several years at Scaleway, but object storage is only part of the story. To broaden our serverless storage offering at Scaleway, we are working on a new line of serverless NoSQL/SQL databases, which will offer the same auto-scaling, pay-as-you-go experience as Serverless Functions and Containers. \nWith combined serverless compute and storage, users can build front-to-back data driven applications without configuring any infrastructure. For example, Lego only uses serverless resources (functions, databases, storage) and managed services (API gateway, Messaging, Emailing …) to run its whole e-commerce platform. This enabled them to create an efficient applications that use few resources most of the year while being able to scale to match customers demand during the Black Friday or the Christmas season. \n\n## Building new applications and porting existing applications \n\nToday’s serverless programming model is built on stateless functions. Each function can’t communicate with others, and must be able to operate at arbitrary scale. While this is a powerful tool for certain applications, it makes it difficult to port many existing applications, and presents a steep learning curve for non-serverless developers. Indeed as of today, to maximize Serverless benefits, one must think in terms of small single-purpose functions and how to orchestrate them. As is the case in other distributed and parallel execution environments, we want to support a range of different programming models and applications, not just those built on stateless functions. \nTo do this, we are focusing on two themes: a) building new programming models specifically for serverless b) supporting existing applications written for other execution environments. New serverless programming models are those that take advantage of the effectively limitless scaling of the serverless execution environment, inspired by ideas from actor-based parallelism, and messaging passing frameworks. These often cater to distributed, highly parallel applications such as scientific simulations and distributed ML training built on MPI. Porting existing applications means providing seamless integration with other parallel and distributed programming frameworks. Applications built on top of these frameworks can then change a line of config, to switch from their existing execution environment, to the new serverless backend. Two good examples of such frameworks are Spark and Dask, used extensively by data scientists. By porting these frameworks to serverless, we can open up the potential of serverless to a large number of new users and use-cases. \n\n## Developer experience \nThe serverless developer experience is different from that encountered in many other execution environments. By definition, serverless applications are distributed, and run in an environment that is controlled by the provider. This exacerbates challenges around logging, debugging, and monitoring, similar to those found in microservice architectures, especially those relying on Cloud Service Providers services. In particular to verify that the service (function) developed still works in the provider's environment users are required to deploy it, increasing the time to get debugging information hence breaking the code/run/improve loop. \n\nTo improve the serverless developer experience and fulfill the promise of a seamless experience, we are working on a number of tools and enhancements. The first of these is offline development and testing. The serverless execution environment is defined and controlled by the provider, and so replicating it on a local development machine can be challenging. \nWe are building tools to help developers get meaningful feedback from their development environment, without having to redeploy functions remotely. The second improvement we are making in this area is monitoring and logging. By integrating with Scaleway’s Observability Platform-as-a-service, we will provide users with a detailed overview of their serverless functions, along with logs and metrics that can help them manage this distributed environment. \n\n## Performance \nPerformance in serverless is often distilled down to a single problem, that of cold starts. Although cold starts are an important factor, especially in user-facing applications, serverless performance also covers scale-out latency, build times, and latency when interacting with the rest of the ecosystem. These performance concerns are multiplied for every container and function that is added to an application, so it’s important for us to ensure high performance when considering serverless at scale. Our work in this area covers two areas: reducing the build, deployment and invocation time of our existing architecture, and researching new architectures, such as those based on WebAssembly. Reducing the latency in our existing architecture involves caching, pooling and simply reducing the resources needed to execute each function. By adding registry caches, reusing isolation environments between requests, and pooling pre-warmed VMs and containers, we can reduce the latency involved in all aspects of our serverless systems. Experimenting with lightweight isolation mechanisms such as WebAssembly, offers orders of magnitude improvements in cold start times, as well as exciting opportunities to build new custom runtime environments, with low-latency messaging, and shared memory between functions. Our research and development on new serverless runtimes is ongoing, but we hope to reveal some exciting new improvements next year. \n\n## Final thoughts \nServerless is a philosophy for building cloud platforms that feel like one big operating system. At Scaleway we’re committed to delivering an ecosystem of products that adhere to this philosophy, allowing users to build large, scalable, stateful applications as simply and affordably as possible. In one short year we’ve built two products that form the foundation of this ecosystem: Serverless Functions and Serverless Containers. There’s much, much more to come, so watch this space, and thank you for joining us on the journey.","createdAt":"2023-01-25T12:54:42.854Z","updatedAt":"2024-10-28T16:10:05.428Z","publishedAt":"2023-02-02T15:34:26.385Z","locale":"en","tags":"Serverless\nStory\n","popular":true,"articleOfTheMonth":false,"category":"Scale","timeToRead":7,"excerpt":"Scaleway’s Serverless ecosystem is one year old today—the perfect occasion to tell you all about how Serverless was built, and the new features planned for the year ahead.\n","author":"Simon Shillaker","h1":"Serverless: 1 year in, and we’re just getting 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