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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/Awstats_Illustration_1280x720_b39fe3d3fa.png 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Awstats_Illustration_1280x720_b39fe3d3fa.png 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Awstats_Illustration_1280x720_b39fe3d3fa.png 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Awstats_Illustration_1280x720_b39fe3d3fa.png 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Awstats_Illustration_1280x720_b39fe3d3fa.png 1200w, 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That’s why we partnered with Scaleway” - interview with Stancer’s George Owen</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/scale/">Scale</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Finance</span><span class="Tag_tag__JS3kY">Testimonial</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="2024-08-30">30/08/24</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/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. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">AI</span><span class="Tag_tag__JS3kY">Testimonial</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/jean-baptiste-fourmont/">Jean-Baptiste Fourmont</a></address><div><time dateTime="2024-07-22">22/07/24</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/Media_Entertainement_Generic_Hero_7705874711.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Media_Entertainement_Generic_Hero_7705874711.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Media_Entertainement_Generic_Hero_7705874711.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Media_Entertainement_Generic_Hero_7705874711.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Media_Entertainement_Generic_Hero_7705874711.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Media_Entertainement_Generic_Hero_7705874711.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Media_Entertainement_Generic_Hero_7705874711.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Media_Entertainement_Generic_Hero_7705874711.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Media_Entertainement_Generic_Hero_7705874711.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-to-optimize-your-cloud-infrastructure-for-video-streaming-and-encoding/">How to optimize your cloud infrastructure for video streaming and encoding - Webinar report</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/scale/">Scale</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Video</span><span class="Tag_tag__JS3kY">Media & Entertainment</span><span class="Tag_tag__JS3kY">Testimonial</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="2024-03-28">28/03/24</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/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/vade-dedibox-testimonial/">How Vade enjoys private cloud's stability with the public cloud’s flexibility, with Scaleway Bare Metal - interview with Florian Coulmier</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/scale/">Scale</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Dedibox</span><span class="Tag_tag__JS3kY">Bare Metal</span><span class="Tag_tag__JS3kY">Testimonial</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="2024-02-05">05/02/24</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/Monitoring_scaleway_9ac7c54cd0.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Monitoring_scaleway_9ac7c54cd0.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Monitoring_scaleway_9ac7c54cd0.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Monitoring_scaleway_9ac7c54cd0.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Monitoring_scaleway_9ac7c54cd0.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Monitoring_scaleway_9ac7c54cd0.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Monitoring_scaleway_9ac7c54cd0.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Monitoring_scaleway_9ac7c54cd0.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Monitoring_scaleway_9ac7c54cd0.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/effective-monitoring-practices/">A primer on effective monitoring practices</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/scale/">Scale</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Best practices</span><span class="Tag_tag__JS3kY">Monitoring</span><span class="Tag_tag__JS3kY">Observability</span><span class="Tag_tag__JS3kY">Infrastructure</span><span class="Tag_tag__JS3kY">Scaling</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/enzo-nocera/">Enzo Nocera</a></address><div><time dateTime="2023-05-30">30/05/23</time><span class="blogDot" aria-hidden="true">•</span><span>19 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/The_Jam_visual_Scaleway_ebcdb63a88.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/The_Jam_visual_Scaleway_ebcdb63a88.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/The_Jam_visual_Scaleway_ebcdb63a88.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/The_Jam_visual_Scaleway_ebcdb63a88.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/The_Jam_visual_Scaleway_ebcdb63a88.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/The_Jam_visual_Scaleway_ebcdb63a88.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/The_Jam_visual_Scaleway_ebcdb63a88.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/The_Jam_visual_Scaleway_ebcdb63a88.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/The_Jam_visual_Scaleway_ebcdb63a88.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/engineering-your-way-to-the-top-alexandre-brianceau-rudder/">Engineering your way to the top - interview with Alexandre Brianceau, Rudder</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/scale/">Scale</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">The Jam</span><span class="Tag_tag__JS3kY">Engineering</span><span class="Tag_tag__JS3kY">Story</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="2023-05-11">11/05/23</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/Composer_c2bc5a6a84.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Composer_c2bc5a6a84.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Composer_c2bc5a6a84.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Composer_c2bc5a6a84.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Composer_c2bc5a6a84.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Composer_c2bc5a6a84.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Composer_c2bc5a6a84.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Composer_c2bc5a6a84.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Composer_c2bc5a6a84.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/data-powering-tech-efficiency-privacy-value/">How Data is powering tech efficiency, privacy and value(s) </a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/scale/">Scale</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Data</span><span class="Tag_tag__JS3kY">Startup</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="2023-04-21">21/04/23</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/Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.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/boosting-medical-breakthrough-with-deeptech/">From Quantum computing to brain stimulation: How deeptech is boosting healthcare</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/scale/">Scale</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Discover</span><span class="Tag_tag__JS3kY">AI</span><span class="Tag_tag__JS3kY">Deeptech</span><span class="Tag_tag__JS3kY">Startup</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="2023-04-05">05/04/23</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_Kapsule_Illustration_1280x720_1245b3e107.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Kubernetes_Kapsule_Illustration_1280x720_1245b3e107.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Kubernetes_Kapsule_Illustration_1280x720_1245b3e107.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Kubernetes_Kapsule_Illustration_1280x720_1245b3e107.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Kubernetes_Kapsule_Illustration_1280x720_1245b3e107.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Kubernetes_Kapsule_Illustration_1280x720_1245b3e107.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Kubernetes_Kapsule_Illustration_1280x720_1245b3e107.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Kubernetes_Kapsule_Illustration_1280x720_1245b3e107.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Kubernetes_Kapsule_Illustration_1280x720_1245b3e107.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/kcd-france-2023/">Reflections on Kubernetes Community Day France 2023</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/scale/">Scale</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><span class="Tag_tag__JS3kY">Story</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/daniel-maher/">Daniel Maher</a></address><div><time dateTime="2023-03-31">31/03/23</time><span class="blogDot" aria-hidden="true">•</span><span>9 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/Corpo_Internet_Illustration_Blog_59303abe2b.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Corpo_Internet_Illustration_Blog_59303abe2b.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Corpo_Internet_Illustration_Blog_59303abe2b.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Corpo_Internet_Illustration_Blog_59303abe2b.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Corpo_Internet_Illustration_Blog_59303abe2b.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Corpo_Internet_Illustration_Blog_59303abe2b.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Corpo_Internet_Illustration_Blog_59303abe2b.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Corpo_Internet_Illustration_Blog_59303abe2b.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Corpo_Internet_Illustration_Blog_59303abe2b.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/kcd-ams-2023/">Reflections on Kubernetes Community Day Amsterdam 2023</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/scale/">Scale</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><span class="Tag_tag__JS3kY">Story</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/daniel-maher/">Daniel Maher</a></address><div><time dateTime="2023-03-09">09/03/23</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/Servers_Scaleway_a0ef106e8b.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Servers_Scaleway_a0ef106e8b.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Servers_Scaleway_a0ef106e8b.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Servers_Scaleway_a0ef106e8b.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Servers_Scaleway_a0ef106e8b.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Servers_Scaleway_a0ef106e8b.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Servers_Scaleway_a0ef106e8b.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Servers_Scaleway_a0ef106e8b.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Servers_Scaleway_a0ef106e8b.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/the-transformers-project/">Tripling the lifespan of servers: why we retrofitted 14,000 servers</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/scale/">Scale</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Datacenter</span><span class="Tag_tag__JS3kY">Sustainability</span><span class="Tag_tag__JS3kY">Scaleway</span><span class="Tag_tag__JS3kY">Story</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/marc-raynaud/">Marc Raynaud</a></address><div><time dateTime="2023-03-03">03/03/23</time><span class="blogDot" aria-hidden="true">•</span><span>7 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/Scaleway_Compute_Roadmap_2b534e0935.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Scaleway_Compute_Roadmap_2b534e0935.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Scaleway_Compute_Roadmap_2b534e0935.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Scaleway_Compute_Roadmap_2b534e0935.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Scaleway_Compute_Roadmap_2b534e0935.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Scaleway_Compute_Roadmap_2b534e0935.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Scaleway_Compute_Roadmap_2b534e0935.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Scaleway_Compute_Roadmap_2b534e0935.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Scaleway_Compute_Roadmap_2b534e0935.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/compute-roadmap-2023/">What's planned for Compute in 2023</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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That’s why we partnered with Scaleway” - interview with Stancer’s George Owen","path":"the-value-we-bring-is-heightened-reliability-and-advanced-security-thats-why-we-partnered-with-scaleway-interview-with-stancers-george-owen/","description":"_[Stancer](https://stancer.com/en/) is a payment services provider and a key fintech within the iliad Group. With financial companies increasingly sensitive to where and how data is stored, we sat down with its CEO, George Owen, to better understand the financial sector’s specific cloud needs._\n\n\n## Scaleway Blog: Could you please introduce yourself and Stancer?\n\n**George Owen**: Stancer is a payment services provider, based in France and across Europe, offering two main service types:\n\n- Processing: the exchange of information flow when a payment goes through\n- Acquiring: when you take the money, put it in escrow then disperse it back to the merchant.\n\nWe’ve been active for three years, starting off by processing iliad Group payments. Our expertise lies in processing recurring high-frequency payments. We built a system that’s particularly adapted for recurring business models like that of telcos, but also across payment methods. So, for example, if a Free Mobile client’s payment doesn’t work out via direct debit, we can generate a credit card payment link to ensure it succeeds.\n\nAfter that, we developed an omnichannel product called StancerPay. It takes the best of on- and off-line pure players’ services and bundles them into one. It has no subscription, competitive pricing and is simple to integrate. So if you have an eshop, you just download a model and you’re ready to go. \n\n\n## Like Scaleway, you’re a small challenger in a large market, competing with the likes of Stripe, Adyen or traditional banks. Do the similarities stop there?\n\nOur market is way more fragmented than the cloud. Even Banque Populaire, the leading player in France, only manages 20% of all transactions. It doesn’t make things easier for us, but every fragmented market will tend to consolidate. Those who succeed are those whose products you can easily plug into, and that’s the case with us. Furthermore, we don’t need consolidation, as we’re growing organically.\n\n\n## So what is the biggest challenge Stancer has to overcome?\n\nPayments are a commodity. You take them for granted. Until they break down, then they become the highest priority. When you can’t capture the cash… it’s the highest priority. So the value we bring is heightened reliability and advanced security. We’re dealing with banking data, some of the most regulated in the world. So we work to provide a highly reliable, robust product, with best-in-class security, to make sure none of our data is breached by bad actors. That’s why we partnered with Scaleway, as you’re the best to help us with those two elements.\n\n\n## Thanks! So, based on your experiences, could you tell us how important the following criteria are for fintech actors like you, when it comes to the cloud?\n\n- **Security**\n\nIt’s essential. We have to comply with countless certifications and regulations: GDPR and (credit card norm) PCI DSS being the most important. Every single fintech product is bound to have reliability and security problems. At Stancer, four people out of a 60-strong team are dedicated to regulation and compliance, and who report to the banking authority on a monthly basis. I have to do two interviews per year with (national regulator) Banque de France, to make sure we’re doing nothing wrong with people’s funds or data. \n\nWe also comply with norms like DSP2, which allows us to access bank accounts and run credit checks on them. This allows us to provide merchants with services such as knowing if a customer can afford to pay monthly installments on a given product. \n\n\n\n- **Sovereignty**\n\nScaleway and Stancer’s being based in Europe - especially in France - has more and more echo with merchants. We don’t want banking data to be stored by US CSPs (cloud service providers), as a lot of merchants are becoming more sensitive to data protection. Scaleway is top in class when it comes to GDPR compliance. \n\nSovereignty is massively more important than two or three years ago. “Where is the data stored?” is now one of the first questions people ask. It’s becoming more and more important in any business, but especially with money. Because you can’t sell your banking data. The only person with access to your banking data is your bank. If I had access to it, I’d know your credit store and your consumption patterns.\n\n\n- **Reliability**\n\nScaleway is top in class when it comes to redundancy [when data is stored across more than one data center; in case one fails, the other(s) take over]. You’re on a par with the biggest CSPs on that front. We operate from two data centers, so our services and data are shared across them. If and when that switch between data centers happens, we as a cloud customer need to not even see that switch happen. Redundancy is essentially the speed at which you can respond, and it has to be as low as possible. Some of our clients are restaurant owners, who capture all payments in a 30-minute window. We have to make sure systems are up at that time, and that response times are very low.\n\n\n- **Agility and Accessibility**\n\nWe’re not a cyclical business, but we do have to handle service access peaks, that is core. Plus we’re based in France but we’re scaling across Europe, so Scaleway is properly placed to help us do that. It’s also key that our cloud services be as accessible as possible, especially for infra teams with limited resources, they need to be able to easily manage anything related to our cloud provider.\n\n\n## Finally, the financial sector seems particularly interested in Green IT. Why is that?\n\nIT is the banking sector’s number one source of direct emissions, so it makes sense for them to be more sustainable. Furthermore, as I’ve said, it’s a highly regulated sector, so we’re very accustomed to ensuring we’re in line with regulations. And I’m sure there’ll be more rules we’ll have to conform with in the future, in order to reduce emissions.\n\n","createdAt":"2024-08-30T09:40:10.616Z","updatedAt":"2024-09-09T12:49:51.069Z","publishedAt":"2024-08-30T09:59:52.817Z","locale":"en","tags":"Finance\nTestimonial","popular":false,"articleOfTheMonth":true,"category":"Scale","timeToRead":4,"excerpt":"What do fintech players expect from their cloud providers? We sat down with Stancer's CEO to find out","author":"James Martin","h1":"“The value we bring is heightened reliability and advanced security. 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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 to optimize your cloud infrastructure for video streaming and encoding","path":"how-to-optimize-your-cloud-infrastructure-for-video-streaming-and-encoding/","description":"Today, the cloud is an essential part of video processing. Naturally, when you consider Netflix and YouTube alone accounted for [over a quarter](https://www.statista.com/chart/15692/distribution-of-global-downstream-traffic/) of global web traffic in 2022. Furthermore, that and related activities are set to grow: IT spending in the global media and entertainment sector rose by 34% between 2019 and 2024, [according to Gartner](https://www.gartner.com/en/documents/4967131). \n\nWhat do these trends imply for companies in the sector today, particularly for video companies? We brought three of them together for a dedicated webinar late March 2024. Here are the highlights!\n\n\"I've been in the video sector for 18-20 years, notably on the VLC, FFmpeg and x264 projects,\" said Jean-Baptiste Kempf, president of VideoLAN and inventor of the pioneering VLC open source player, by way of introduction. \"Today, all video found on the cloud and on websites is managed by open source projects, whether it’s on Facebook, YouTube or Twitch. This is one of the few areas of the cloud where there is virtually no non-open source competition, and all proprietary solutions are based on these solutions. But it's true that today you need significant resources for transcoding - so a lot of computing power - and adapted infrastructures that are capable of scaling according to your needs at certain times. So the importance of cloud providers is paramount.\"\n \nOur three speakers then presented their solutions.\n\n \n**Emmanuel Fréard**, Co-Founder and CTO of [blastream](https://blastream.com), presented his cloud-based livestreaming service, which enables events to be produced and broadcast directly over the web. \"It’s a sort of mini-[OBS](https://obsproject.com/) in the cloud, controlled directly from the web, similarly to what our American competitors, such as StreamYard, offer,\" explained Fréard. **Blastream has the particularity of being white-label, which makes it suitable for uses such as webinars, but also live shows, as well as special activations like the broadcast of a remote-controlled car race, with Orange**. To achieve this, blastream relies on MCU technologies, with ingestion and broadcasting notably via WebRTC. On the cloud side, blastream depends on the reliability and availability of Scaleway's CPU resources - \"we have an average of 25 seconds of instance availability, which is very comfortable for our customers and end users\", asserted Fréard - as well as the sovereign aspect, as video data must remain RGPD-compliant at all times.\n \n\n**Geoffrey Signorato**, Lead Developer at [Streamfizz](https://www.streamfizz.com), then presented this video streaming platform created in 2012, by parent company Webcastor. Streamfizz features a responsive, customizable player and alternative to GAFAM solutions, with a strong focus on data confidentiality. Indeed, **Streamfizz's cloud configuration \"ensures that videos are not sent to services outside France\", explains Signorato; \"this is why Streamfizz has developed its entire encoding system in-house\"**. This system consists of uploading video files to object storage, before passing them on to a pool of 3070 and RENDER-S GPUs in a private network for encoding and subtitling, before they go back to object storage. Streamfizz also relies on Scaleway's Kubernetes Kapsule to manage scale-up and scale-down of GPU Instances.\n \n\n**François Caron**, CEO of [EMPREINTE.COM](https://www.empreinte.com), then explained how this \"pioneer in online video\" began in 1989, producing CD-ROMs for Wanadoo (France Télécom), before moving on to webTV, streaming, display and webinars. To do this, **Empreinte relies on Scaleway Kapsule, Load Balancer, Object Storage, Container Registry and MySQL, enabling it to meet substantial load requirements, such as 70,000 simultaneous users for one customer**, or 3,000 multilingual live broadcasts per year for another. Caron was particularly pleased that his sector had created 40,000 jobs to date - \"we have talent in this country, and applications that are used worldwide\" - while regretting that said players \"don't talk to each other enough.\" \n\n\n![Video webinar speakers](https://www-uploads.scaleway.com/Video_webinar_speakers_955ef8f3b4.webp)\n\n\n## Why sovereignty comes first with video\n\n**Sovereignty** being the common ground between these three players, the discussion part of the webinar began on this topic. \"It's a determining factor\", insisted Caron, particularly when managing the video content of clients’ intranets, as is the case with Empreinte. \"Some servers are in the US, which can reveal confidential information. CIOs don't want to look at this sort of thing... except when we talk to them about cybersecurity. Controlling cloud perimeters as tightly as possible is decisive for security.\"\n\nIt's also a key sales argument, according to **Signorato. \"It's a real selling point to be able to tell our customers that we know exactly where their video will go when they upload it**. We know that it stays in France, who encodes it and where, where it's uploaded... Sovereignty is not something clients think about by themselves, but when we tell them about it, it tends to reassure them.\"\n\nIn addition to reassuring customers, **sovereignty is \"mandatory for some customers\", according to Fréard. \"Some CIOs impose it. And that's fine with us!” **he said. “We prefer to work with people we can talk to, which isn't always the case for non-European companies. It's a sales pitch, but also a technical one, and one that has real added value for us as a startup.\"\n\n\n## Availability and flexibility: the keys to success\n\nFréard then returned to his need for **guaranteed CPU Instances available within 25 seconds. \"We don't want to have a whole pool of servers available at all times and only use them 10% of the time. We prefer to call on resources at a moment's notice\"**, he said. “This makes economic and environmental sense. And the faster these resources are available, the better it is for the end customer.”\n\nThis need for flexibility is covered for Streamfizz by Kubernetes autoscaling, \"which allows us to define a minimum of replicates that will run on Instances\", explained Signorato. \"Whenever Kubernetes receives a CPU or RAM load, the autoscaler will automatically switch on Instances,\" he added. **\"This elasticity allows us both to manage peak loads, and to limit resources to the minimum\" when Streamfizz doesn't need resources**. “There's a whole configuration to be done in advance, but once properly set up, we have a certain robustness on production.\"\n\n\"We're trying to do better with less\", summarized Empreinte's CEO. **Last year, the company’s sales grew by 40%, while its cloud bill fell by 50%, \"simply because we managed [resources] better\", explained Caron**. \"Application optimization, intelligent dispatch management, multi-operator operations, transparent disaster recovery, scalability management, switching to object-oriented activity... all help in making considerable savings, and in having increasingly reliable applications.\"\n\nThese aspects of FinOps are concerns of many customers, confirmed Fabien Ganderatz, Solution Architect at Scaleway: \"we make a point of allowing customers to consume as they wish, when they wish, and as quickly as possible, in terms of resource activation.\"\n\n\n## GPUs, CPUs, and cost optimization\n\nAs Signorato has [already explained on our blog](https://www.scaleway.com/fr/blog/webcastor-migration-interview/), the switch from CPUs to GPUs for video encoding has brought Streamfizz considerable advantages in terms of time and cost. \"To encode video with CPUs, you need to quickly access a lot of computing power,\" he said during the webinar. \"In our V2, we decided to go with GPUs. They take a little longer to start up, but they handle video tasks much faster. Thanks to that, plus relying on Kubernetes for scale-up/in, **we achieved four times faster encoding for four times cheaper [with 3070 GPUs], at almost the same quality as with CPUs.**\" Streamfizz also uses RENDER-S GPUs to do transcription and create subtitles automatically. \n\nLast but not least, the company is currently testing NVIDIA's new L4 GPUs, and \"the results are rather encouraging; we're getting the same quality, almost the same encoding time, but at a lower cost, since the GPUs are cheaper, and above all billed by the minute,” said Signorato. This last point is very important, because with GPUs billed by the hour, you could end up paying an hour for just ten minutes' use.\n\nBut in the end, between CPUs and GPUs, which one wins when it comes to video? \n\n\"In terms of encoding finesse, GPUs don't outperform CPUs,\" said **Caron. \"GPUs go faster, but do some things less well for that reason. And when you want to process the remaining 20%, it consumes 80% more energy [than a CPU].\"** Empreinte therefore relies mostly on CPU Instances, except when customers have specific needs.\n\nAs for Fréard and blastream, \"for real-time encoding, we've found that with GPUs, we can increase encoding power. Whereas with CPUs we can go up to [a resolution of] 1080p and 30 fps [frames per second], with GPUs we can reach 4K [ultra-high resolution]. Except that **streaming in 4K on the web today doesn't make much sense, at least not live, especially as there are significant environmental impacts**. But here's the thing: in specific cases, GPUs help us - those who stream with OBS can test this themselves - but we stick with CPUs in most cases.\"\n\nIn conclusion, these three apparently similar French players have three very different practices when it comes to GPUs and CPUs. As Caron pointed out, \"this is a good illustration of the market!\" What's more, \"it's constantly evolving,\" added Signorato.\n\nIn any case, the recent integration of ARM CPU nodes into Scaleway's Kubernetes offering will open up new perspectives for video orchestration, Ganderatz pointed out. A development made all the more interesting by the fact that ARM will open up new possibilities in the field of video, he added.\n\n\n## Future video trends\n\nWhen it comes to the future of video on the cloud, \"we're not sure of anything yet,\" said Signorato, while acknowledging that ARM remains an interesting new field to explore.\n\n\"On the encoding side, there are certainly things coming,\" said Fréard. \"HEVC [High Efficiency Video Coding] is interesting; and the predictive aspect will certainly emerge. I've seen that Opus has included predictive on its audio codec, and so maybe other codecs will do the same.\"\n\n**\"The big challenge for video is to be green,\" Caron insisted**. \"Since we've lowered our cloud consumption by 50%, we’d like this trend to take off internationally.\"\n\nFréard concluded in this vein, highlighting French expertise in the video field - as evidenced by Jean-Baptiste Kempf. He also stressed the importance of movements such as [Greening of Streaming](https://www.greeningofstreaming.org/), and that of reducing the environmental impact of streaming globally. One to watch moving forwards!\n","createdAt":"2024-03-28T10:54:15.018Z","updatedAt":"2024-09-30T11:26:02.708Z","publishedAt":"2024-03-28T11:05:30.733Z","locale":"en","tags":"Video\nMedia \u0026 Entertainment\nTestimonial","popular":false,"articleOfTheMonth":false,"category":"Scale","timeToRead":4,"excerpt":"What are the best ways to optimize your cloud infrastructure for video streaming and encoding? French experts answered in our webinar late March. Here's what they said!","author":"James Martin","h1":"How to optimize your cloud infrastructure for video streaming and encoding - Webinar report","createdOn":"2024-03-28","image":{"data":{"id":3215,"attributes":{"name":"Media-Entertainment-GenericHero.webp","alternativeText":null,"caption":null,"width":1424,"height":880,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Media_Entertainement_Generic_Hero_7705874711.webp","hash":"large_Media_Entertainement_Generic_Hero_7705874711","mime":"image/webp","name":"large_Media-Entertainement-GenericHero.webp","path":null,"size":"325.59","width":1000,"height":618},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Media_Entertainement_Generic_Hero_7705874711.webp","hash":"small_Media_Entertainement_Generic_Hero_7705874711","mime":"image/webp","name":"small_Media-Entertainement-GenericHero.webp","path":null,"size":"104.66","width":500,"height":309},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Media_Entertainement_Generic_Hero_7705874711.webp","hash":"medium_Media_Entertainement_Generic_Hero_7705874711","mime":"image/webp","name":"medium_Media-Entertainement-GenericHero.webp","path":null,"size":"200.87","width":750,"height":463},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Media_Entertainement_Generic_Hero_7705874711.webp","hash":"thumbnail_Media_Entertainement_Generic_Hero_7705874711","mime":"image/webp","name":"thumbnail_Media-Entertainement-GenericHero.webp","path":null,"size":"39.80","width":245,"height":151}},"hash":"Media_Entertainement_Generic_Hero_7705874711","ext":".webp","mime":"image/webp","size":109.3,"url":"https://www-uploads.scaleway.com/Media_Entertainement_Generic_Hero_7705874711.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2024-02-01T16:19:21.297Z","updatedAt":"2024-02-01T16:19:30.035Z"}}}},{"title":"vade-dedibox-testimonial","path":"vade-dedibox-testimonial/","description":"_Vade is a French company specializing in email protection to prevent phishing and ransomware attacks. The company relies primarily on Scaleway's Bare Metal offerings, primarily [Dedibox](https://www.scaleway.com/en/dedibox/storage/), to protect 1.4 billion mailboxes worldwide. Florian Coulmier, COO of Vade, answered our questions during a [Scaleway webinar](https://www.youtube.com/watch?v=Bo49LBKklUo\u0026t=2s) (in French), the highlights of which are below!_\n\n\n## Why did you choose a Scaleway infrastructure ?\n\n**Florian Coulmer**: The choice was made four or five years ago. We had a long-standing hosting provider who offered to provide us with virtual machines. This meant we didn't have to worry about physical constraints: we could increase CPU, RAM and disk capacity as needed. And server availability was quite high, thanks to the virtualization layer. By availability, I mean that we could take the VM we wanted without worrying about inventory; and every VM worked without major incidents.\n\nNext, we wanted to expand internationally. We turned to a very, very well-known player in the public cloud. It worked very well there too, our needs were well met, practically speaking.\n\nBut we were aware that Scaleway offered considerable advantages, all related to price:\n- The cost is reasonable, while ensuring a high level of elasticity and availability\n- We have easy access to servers with high-performance configurations (over 8 CPUs and 64GB RAM, for example), at a reasonable cost\n- Invoices are predictable. Changing applications doesn't necessarily lead to a major change in the bill at the end of the month. Even when it comes to managed services.\n\n\nWith a view to controlling infrastructure costs and giving ourselves more freedom to go for server configurations with lots of CPU and RAM, we looked for an alternative. We're talking here about terabytes and petabytes of data, which requires fairly large infrastructures. \n\nAmong the various French hosting providers available, we chose Scaleway as our main supplier. Some of our colleagues had already had experience with Scaleway's personal servers, and they were happy with them; this comforted us in our choice. \n\nSo we started with a small infrastructure of a few servers, which we tested for a few months, almost a year in fact. We found that it worked well, so we added more and more services. Today, we have over 220 servers with Scaleway.\n\n\n## Why did you move from the public to the private cloud, when a lot of companies are doing the opposite?\n\nMainly for reasons of control. Costs are lower, and more predictable; we can anticipate and right-size our infrastructure easier, for example by adding more servers in case of load peaks ; and, as we work in cybersecurity, we prefer to have our ‘own’ IT space, which is private and closed. All in all, the private cloud allows us to control the entire value chain as we see fit.\n\n\n## How is your infrastructure deployed on Scaleway’s cloud?\n\nOur infrastructure is divided into several sub-assemblies dedicated to each of our products. Each product represents a mini-infrastructure in its own right. So we've migrated bits and pieces of our infrastructure bit by bit, each time ordering servers adapted to our needs. Scaleway's range is sufficiently extensive to enable us to find the right configuration for the application in question.\n\nFor the last three years or so, we've mainly been using Kubernetes and have deployed our own cluster at Scaleway. We also manage Elasticsearch clusters and a virtualization platform based on Proxmox.\n\nThese technologies enable us to overcome one of the limitations of Bare Metal, where a failure can render a server unavailable. These technologies ensure a certain degree of redundancy. We're just careful to order machines that aren't all located in the same rack, so that a failure can't have a major impact on the whole cluster.\n\nUltimately, we have opted for technologies that enable us to overcome the lack of a strong guarantee of availability. It can happen that a physical server fails. But if it's a Kubernetes or Elasticsearch node, thanks to the redundancy mechanisms built into these software packages, it's not a problem. We can therefore benefit from high-performance machines at a good price/performance ratio.\n\nI would add that elasticity can be managed through horizontal rather than vertical scalability. We can simply order new servers if we need to grow our cluster.\n\nWe don't have a typical machine we use, but for Kubernetes nodes or virtualization, servers like the Core-7-M with a 16-core CPU, 32 threads and 256 GB RAM are perfect for us. But we really use all types of server, we don't have a typical machine, we use the whole Scaleway range.\n\n\n## What are the advantages of Dedibox for Vade?\n\nBeyond these financial aspects - Scaleway offers excellent value for money - there are also technical aspects. \n\nFirst, platform stability. We've had very few incidents and no major ones.\n\nThe server ranges are well thought-out overall. We can almost always find the server we’re looking for.\n\nThe platform is easy to use. The interface is very clear, fast and efficient.\n\nWe can order servers and receive them quickly. This is something we’ve become accustomed to using the cloud, and it was important for us to continue to have this flexibility with a player that offers Bare Metal.\n\nRPN v2 allows us to interconnect all of our servers, while taking advantage of VLAN security.\n\nAnother Scaleway advantage is that, like us, it's a European company. This notion of sovereignty is important for Vade in general, and in particular when it comes to choosing our suppliers; as it is for many of our customers, especially in the public sector. \n\nI'd conclude with a word about the quality of customer support. We always have people who understand our requests and deal with them quickly and efficiently. On the rare occasions when this isn't the case, we've been able to escalate easily and have always had someone there to take our issue on board. Generally speaking, we are very well supported by Scaleway’s teams.\n\n\n## What’s the future of Scaleway and Vade’s partnership? \n\nAlthough we've opted for Bare Metal, we're also interested in what the cloud can offer. In this respect, we'd love to take advantage of a connection between Scaleway Elements and Dedibox. This would enable us to overflow to meet certain specific needs.\n\nBut I'm pleased to see the recent evolution of the Dedibox range, and to see new developments on the roadmap. The recent generation 9 allows us to renew our stock of servers, with the widespread use of faster NVMe disks.\n\nI'm confident that the developments we've requested for the Bare Metal range will see the light of day, as this is important for customers who have complete Scaleway infrastructures.\n\nSo our story with Scaleway and Dedibox is far from over! On the contrary, we're counting on the evolution of the range and the roadmap to support us in our need for growth.\n","createdAt":"2024-02-05T14:17:42.981Z","updatedAt":"2024-02-09T15:22:28.117Z","publishedAt":"2024-02-05T14:29:15.904Z","locale":"en","tags":"Dedibox\nBare Metal\nTestimonial","popular":false,"articleOfTheMonth":false,"category":"Scale","timeToRead":4,"excerpt":"Vade, a French company specializing in email protection, chose Scaleway's Dedibox Bare Metal range for its privacy and flexibility. COO Florian Coulmier explains why!","author":"James Martin","h1":"How Vade enjoys private cloud's stability with the public cloud’s flexibility, with Scaleway Bare Metal - interview with Florian Coulmier","createdOn":"2024-02-05","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":"effective-monitoring-practices","path":"effective-monitoring-practices/","description":"As Platform Engineers specialized in monitoring and observability solutions, my coworkers and I had the chance to experiment a lot with monitoring practices and tools. Now we would like to share our views on implementing monitoring in a way that allows your product to become more resilient and responsive.\n\nMonitoring has a significant impact on your product and its quality. In our experience, naive attempts to implement monitoring systems without the accompanying organizational and cultural shifts that allow teams to compensate for the high costs of monitoring and guarantee that the system in place is aligned with their goals always fail.\n\n\n## A primer on monitoring\n\nThis post is aimed at engineers, engineering managers, and product managers. We will define monitoring and how it differs from observability and go over some general principles that should be kept in mind during the whole lifecycle of implementing and maintaining your monitoring system. We’ll also look at some common types of monitoring and, finally, how to continuously improve your product by taking advantage of the insights provided by monitoring.\n\nMonitoring is all about collecting telemetries (metrics, logs, traces,…) from systems and storing them in a time series database (TSDB) to be watched in the background by a system capable of issuing _alerts_ when certain behaviors are observed and other systems taking input from those alerts/time-series (e.g., [Kubernetes auto-scaling on custom metrics](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#scaling-on-custom-metrics)).\n\n\n### **Common telemetries: metrics, logs, and traces**\n\n**Alerts** can be routed to other systems to trigger automated procedures, be displayed on a dashboard for further investigation, trigger a _page_ to summon the on-call engineer (which is expensive), and much more.\n\n**Metrics** are the most used among all telemetries as they are typically fresh data and easily aggregable, so they scale easily with your production.\n\n**Logs** describe unique events, so they’re not directly used for monitoring because they’re too verbose and harder to manipulate for a machine than plain numbers like metrics. But they can be counted and turned into metrics (e.g., by incrementing a counter for every log describing an HTTP 500). Their main use case is still in the name — to log with a certain verbosity what’s happening on a system for traceability and posthoc investigation.\n\n**Traces** are mostly used to track a user request that may be distributed among different services. They are basically a collection of the logs triggered by one user request traversing several of your service components and are not really used in monitoring as such but more in observability (more on this later).\n\n\n### **Why do you need monitoring?**\n\nIf you’ve ever looked into the literature on monitoring, you’ve probably come across [Part III of the Google SRE Book](https://sre.google/sre-book/part-III-practices/), which presents a [Hierarchy of Needs](https://en.wikipedia.org/wiki/Maslow%27s_hierarchy_of_needs) for service reliability. Google puts monitoring at the “base” of the pyramid, saying it’s impossible to run a reliable service if you are unaware of its state.\n\nMeanwhile, if we look at Service Quality literature, one of the most widely accepted models, which has been in use since the early 90s, is the [SERVQUAL model](https://en.wikipedia.org/wiki/SERVQUAL), which evaluates the quality of services in five dimensions. Among them, **reliability** (“The ability to perform the promised service dependably and accurately”) and **responsiveness** (“The willingness to help customers and to provide prompt service”) are two criteria that monitoring systems can improve.\n\nWithout monitoring, we are unable to detect whether our system is drifting away from its nominal state. Therefore, our users will perceive our services as **unreliable** as they can’t trust them to perform consistently. But by being unaware of those drifts, we are not able to quickly put the system back on the rails. This negatively impacts our _Mean Time To Recover_ (MTTR), resulting in a drop in **responsiveness** and in our customers’ trust in us.\n\nWith repeat occurrences, the perceived quality of our service will drop to a point where the user is no longer willing to pay for it (the decision to use a service is mainly motivated by the quality-cost ratio), which unavoidably, leads to churn.\n\n\n## The difference between monitoring and observability\n\nThere have been some shifts in recent years, and we’ve seen the emergence of solutions labeled “observability”. Some have argued that observability is just a buzzy tech word and yet another synonym for monitoring. But we disagree.\n\nThe need for human intervention is becoming less and less with the development of autonomous systems, but the need for a qualified workforce to _maintain_ those automations is rising. This effectively means that we don’t have to scale our operational team proportionally to our production scale. And that’s where we created the need for observability next to monitoring.\n\n**Monitoring** has allowed us to create automations and/or autonomous systems by collecting telemetries and launching automated procedures based on the evaluation of a set of rules taking input from those telemetries. On the other hand, **observability** has been designed _for_ humans. It allows us to observe our (increasingly more) complex systems effectively.\n\nThe more we automate our systems, the more they look like a [black box](https://en.wikipedia.org/wiki/Black_box) for us. _Observability_ was born because we made our systems more and more autonomous to handle more and more complex problems, but we realized it made the cognitive load needed to reason about them humanly unbearable.\n\nAt the end of the day, all observability solutions advertise themselves as easy to use with a good developer experience for this exact reason: they allow humans to observe things they couldn’t with the naked eye.\n\nThat’s why observability and monitoring are _complementary_, not interchangeable.\n\n\n## The principles of monitoring\n\nNow that we’ve established that there _is_ a need for monitoring let’s look at the important principles you should keep in mind when working on implementing a solution.\n\n\n### **Monitoring is not just technical**\n\nDon’t ignore the product and business implications of monitoring. You should have regular meetings (e.g., every quarter) with those parties to speak about your objectives and your Quality of Service (QoS).\n\nThis will allow you to assert the relevance of your current monitoring solution, which should be aligned with your service objectives. And if the alert volume is already high, and you struggle to meet the objectives, product management should either allocate time to improve the reliability of your service or downgrade the targeted objectives.\n\n\n### **Alerts should have a severity spectrum**\n\nAlerts typically have a spectrum of severity, e.g., you may get HTTP 500 errors for 0.1% of the requests, _or_ all user requests are failing. Being able to classify the severity of the symptoms will help you adopt an adequate response. We don’t need to page engineers for every single abnormal behavior, especially when there are no user-facing impacts. But if the abnormal behavior happens every time, then someone should take a look at it.\n\nIf you want to keep your system simple, avoid using too many severity classes. The minimalistic yet effective classification we recommend is:\n\n\n\n* **INFO**: Alerts giving information that require some attention. Those shouldn’t trigger notifications but appear on a dashboard.\n* **PAGE**: Alerts that should page engineers and require immediate responses\n\nAdding more levels adds quite a lot of complexity to the system. For example, adding a **WARN** level over the **INFO** level to prioritize some alerts in the dashboard will require you to set up inhibition rules to silence lower-level alerts corresponding to the same base symptoms, or you will have duplicate entries on your dashboard.\n\nRemember that not all alerts should lead to paging. Some may just be used as informational tickets in dashboards or as automation triggers. If they trigger a page, then they need to be instantly actionable and describe a real urgency.\n\nYour on-call engineer will experience an adrenaline rush when they get a page, so make their work easier by adding **dashboards** and **runbooks** to every alert that help them easily find the root cause.\n\n[Alarm fatigue](https://en.wikipedia.org/wiki/Alarm_fatigue) is a real concept that has been observed and studied in other industries as well. So use paging wisely.\n\n\n### **Keep it simple to keep the noise down**\n\nIf you look online, you will find a lot of fancy setups with complex anomaly detection implementation and a long chain of alerts with complex inhibition rules. Use them sparingly. \n\nMost of those setups are hard to maintain because they create a hard coupling between your current situation — your current infrastructure, your current volume, the current context, etc. — and your monitoring. But in an environment with high change velocity, this is a source of significant [bit rot](https://en.wikipedia.org/wiki/Software_rot).\n\nThere may be cases where you will need a more complex setup, but if they become a source of noise, they should definitely be replaced as soon as possible with long-term measures or simpler rules, such as linear predictions, if applicable.\n\n\n### **Monitoring needs to be refined**\n\nMonitoring is _not_ plug-and-play. Every product team should always have at least one “monitoring person”; two, if the system is complex. They perform typical engineering jobs but are also responsible for maintaining the monitoring of their product.\n\nAllocating engineers to monitoring isn’t the only organizational measure needed. You also need a ritual to review the alert volume between different time windows, assert the relevance of the alerts, and decide how to refine the monitoring system.\n\n\n## Monitoring Types\n\nThere are three main types of monitoring we’ll look at:\n\n\n\n* Symptom-based monitoring\n* Cause-based monitoring\n* Resource-based monitoring\n\nThis is not an either/or situation but, rather, which type you use when will depend on what you want to do or need to know about your system.\n\n\n### **Symptom-Based monitoring**\n\nWith symptom-based monitoring, the focus is on what the user is experiencing. We want to monitor what our customers are experiencing and warn our team when the system drifts from its nominal state.\n\nThe method is based on **service-level objectives (SLO)**, so we need to take a quick detour into the basics. An SLO essentially defines how reliable a service should be over time. Meanwhile, **service-level indicators (SLI)** describe user-facing concerns, are measured over time, and indicate whether an SLO has been met or violated.\n\nBut one SLO violation alone doesn’t immediately mean a service is unreliable. A certain allowance is made for failure with an **error budget**, which describes the maximum time allowed for a given type of error. And how quickly you’re burning through your error budget is calculated with a **burn rate**.\n\n\n#### **Monitoring symptoms through SLOs**\n\nOnce you have defined SLOs, the first thing that may come to your mind is to alert you when you’ve consumed your error budget. However, you want to be able to act _before_ an actual violation happens.\n\nA good method is to use burn rates by defining different alert conditions that are each made of:\n\n\n\n* A budget consumption, e.g., 2% of the budget is consumed,\n* A look-back window, e.g., over 1 hour,\n* A severity, e.g., using the spectrum we previously presented when we talked about when to page.\n\nUsing this method, you will come up with multiple alert conditions, each with their own severity.\n\n\n#### **The benefits of symptom-based monitoring**\n\nSymptom-based monitoring is by far the most effective type of monitoring because if you are currently failing to meet your SLOs, you can be certain your product is out of its nominal state, and the customers can feel it. There is almost no risk of false positives with this method.\n\nWhat we like about this methodology:\n\n\n\n* **It’s data-driven**: SLIs and SLOs are an operationalization of the customer’s voice, so you can use them to remind everyone what your customers’ primary interests are by using significant metrics.\n* **It has clear KPIs** to present to the business every quarter.\n* **Risk management**: It models an error budget for innovation. If you’re clearly over-performing your SLOs, you have room to innovate and try new features. Conversely, if you struggle to meet your SLOs, engineers’ time should be spent on making the product more resilient.\n\nUsing SLIs and SLOs to monitor your service’s symptoms is an emerging practice, and there are some interesting tools available to help you get started:\n\n\n\n* If you are good at learning by code or by example, take a look at the [OpenSLO initiative](https://github.com/openslo/openslo) that aims at creating a declarative model for SLIs, SLOs, and their monitoring;\n* There also are tools that help you turn declarative specifications into implementations; for example, if you are a Prometheus user, you may be interested in [Sloth](https://github.com/slok/sloth).\n\nYou should keep one thing in mind, though: SLI/SLO-based monitoring will only be effective if your SLOs are significant enough for your users and capture real pain points. Also, if your SLOs are way too ambitious, you will end up with noisy monitoring.\n\nSo before starting symptom-based monitoring, you have to ensure that SLIs/SLOs are well integrated into your organization’s processes.\n\n\n### **Cause-Based monitoring**\n\nMonitoring SLOs with burn rates gives us a measurement of the pain our users are experiencing with our service in real-time, but it doesn’t explain why it’s happening. You will need to investigate further, using observability tools to find the **root cause** (or failure).\n\nThere is a causal relation between failures and symptoms: failures lead to symptoms, so we should remediate those failures. The general consensus in the industry is that we should focus on symptoms instead of causes (or failures), as cause-based monitoring can quickly become noisy.\n\nThis is a dangerous statement if interpreted too drastically: some may say cause-based monitoring is completely useless because the symptoms will be detected by our symptom-based monitoring anyway. While that makes sense, it also means our customers will be impacted if we always wait for symptom-based monitoring to alert us that something is wrong. Sometimes, failures can be detected _preemptively_ with cause-based monitoring, so we can avoid our users being impacted entirely.\n\n\n#### **The workflow of cause-based monitoring**\n\nTypically, we start to experience some incidents that are all linked to the same root cause. In the beginning, we manually remediate these incidents. With time, this root cause may evolve from occasional to common enough.\n\nIf we are able to detect this failure preemptively, we may decide to monitor it and page our on-call engineer every time it happens and have them deal with it before our service degrades. If the failure and the symptoms appear at the same time, creating an alert on the failure has low to no value at all, as the symptom-based monitoring should already be ringing anyway.\n\nThe problem starts when the failure occurs so often that monitoring becomes really noisy and causes a ton of [toil](https://sre.google/sre-book/eliminating-toil/) for engineers; this is the moment when you’re supposed to “turn off” the monitoring. In those cases, you may choose to drop the alert and accept the resulting degradation of service or, if the degradation is not acceptable, invest some of your time into remediations and mitigations.\n\n\n#### **Remediation: addressing failures**\n\nIn most cases, failures can be addressed and fixed automatically (i.e., without human intervention). Once you develop a remediation script, you simply redirect the alerts for those failures from paging to an automation engine. That way, on-call engineers don’t have to waste hours manually remediating the same problem over and over again.\n\nOf course, there will be times when short-term fixes are impossible and will require your team to work towards long-term remediations. But honestly, this is the normal life of any service. Day-2 Ops is always the biggest part of our job, so we should work to make it as enjoyable as possible.\n\nWe know this part will be the hardest to accept for most engineers, but failures are normal and to be expected. We love to control everything and usually aim for a completely symptom-free system where every possible failure is mapped to fully-tailored remediation. But there are so many things that could possibly go wrong that a failure-free system isn’t even possible.\n\n\n#### **Mitigation: reducing the effects of failures**\n\nThis is why we don’t rely on remediation alone. Remediation is made to react to the known unknown, but there are a lot of failure classes yet to be discovered (yay!) or failure classes that are just too costly or irregular to remediate without creating [bit rot](https://en.wikipedia.org/wiki/Software_rot). So, instead, we couple remediation with failure mitigation mechanisms such as redundancy and failure domain isolation which do not prevent failures from happening but mitigate their impact.\n\nIn the lifetime of your service, accept failures and learn from them. Failures are an opportunity to improve the **antifragility** of your team and your product (which is the ultimate goal but harder to achieve than mere **reliability**). When your system is, from time to time, put under stress, you train your team to\n\n\n\n* identify the weaknesses of your system,\n* develop their incident response process,\n* keep their cool in the face of stressful situations and adrenaline rush, and\n* implement new mitigation strategies and remediations which improve your product quality overall.\n\nImagine a team facing incidents every one or two months and another experiencing their first incident after two years. Which one do you think will respond better?\n\n\n#### **How to avoid the toil spiral**\n\nWhen facing noisy cause-based monitoring, there are only two reasonable things to do: drop the alert and accept the service degradation _or_ invest time on automated remediations and/or mitigations so humans no longer have to handle the failure.\n\nChoose an in-between, and you will enter a vicious spiral where your engineers get more and more paging, hence more and more toil, leading to alarm fatigue and less time to work on features and long-term projects.\n\nIf you keep releasing new features instead of working on automated remediations and mitigations, those features will create new classes of failure and even more paging. In the end, this will **completely** nullify your team’s velocity to deliver values on your roadmap, as their focus is 100% on toil work. And that will make it harder to find people to join your team as well, as working only on toil isn’t very attractive to engineers.\n\n\n### **Resource-based monitoring**\n\nWhile cause-based monitoring requires complex decisions, you should avoid noise generated by resource level at all costs. There are only a few cases when you want to produce resource-based pages, for example:\n\n\n\n* When overshooting your [capacity planning](https://en.wikipedia.org/wiki/Capacity_planning) and quotas: In those cases, you may need human intervention (e.g., to get approval from management to allocate more resources).\n* When your automation to scale up your resources (limited by quotas) fails.\n* When you perform migration and allocation manually (which doesn’t scale, but sometimes it’s expensive to automate it too early)\n* When the page is actionable and describes a real issue, otherwise, you should avoid those “there may be problems” pages.\n\nThe following situations are examples of acceptable resource-based monitoring:\n\n\n\n* Disk saturation: once full, it won’t really restart without intervention if you are using local disks. If you are using remote storage, most of the time, it can be automated.\n* Memory levels when memory is overcommitted and crash-looping processes lead to data loss, consistency errors, or heavy contention on your nodes.\n\nWhat you should do, though, is prepare dashboards to ease root cause analysis when symptom-based monitoring is ringing. You can, for example, take advantage of the [USE method](https://www.brendangregg.com/usemethod.html) to abstract away your resources’ low-level details by using three high-level metrics: **U**tilization, **S**aturation, and **E**rrors, which will allow you to iterate over your resources one by one during root cause analysis to find which component is causing a drop in your SLIs.\n\nTo conclude this part, we want to highlight that most of the time, the real remediation of a resource-based failure will be smarter capacity planning, but this is yet another subject that deserves its own blog post.\n\n\n## The alert review: why monitoring needs to be part of your culture\n\nThere is one thing that most engineering teams will overlook: the organizational and cultural measures needed to make their monitoring effective. Your monitoring system can get quite complex, and it’s important to review it regularly so you can continuously improve it and your product. To do so, we’ve implemented a ritual we call the “alert review”.\n\nThe benefits of this ritual are:\n\n\n\n* We can track the evolution of the reliability of our product over different time windows: weekly, monthly, quarterly, and yearly.\n* We can see if our objectives are way too ambitious for the current state of our product and decide:\n * to prioritize stabilization over innovation (i.e., slowing down new features) for the time being or\n * to downgrade our objectives.\n* We can identify new remediations and mitigations that may be needed to improve our product.\n* We can identify which components of our product are causing the most problems and decide to focus on those.\n* We can also identify when a manually remediated failure is getting more and more frequent and decide it’s time to automate things to avoid the toil spiral.\n* We can save costs by removing unnecessary telemetries and/or reducing the resolution of some time series.\n\nThe concept is simple: one team member hosts the meeting, and another one takes notes. Then the alert review can start:\n\n\n\n1. **Macro review**: The host starts with overall statistics: how many alerts are fired by region (eventually zones) and severity (page or info), mean time to acknowledge, mean time to remediate,… Start small, and you will incrementally discover the KPIs you need for this ritual. Once familiar with the process, you could even use time windows to observe relative and absolute variations to spot any degradation of your monitoring (e.g., since the last alert review, alerts have become 10% noisier).\n2. **Micro review**: The host starts to go over each alert group that has been fired since the last iteration. Once again, using different time windows to spot trends can be helpful. For example, maybe a cause-based alert that is, for now, mitigated manually will start to get more frequent, so the team will decide to start working on automation.\n3. **(Optional) SLI/SLO correlation**: The host shares SLI/SLO stats. After going over alert trends, it should be easy to empirically discover some correlation (even if it doesn’t imply causation) between an alert being more frequent and a drop in some SLIs.\n4. **Backlog feeding**: The final step is to review the notes made during the meeting and issue tickets for the backlog.\n\nMonitoring is not plug-and-play! It’s an engineering practice that requires discipline and continuous improvement in order to bring antifragility to your product while staying cost-effective.\n\nMonitoring costs can be reduced to the cost of their collection, long-term storage, and indexation for further querying.\n\nMonitoring and observability can get [really expensive](https://horovits.medium.com/expensive-metrics-why-your-monitoring-data-and-bill-get-out-of-hand-e5724619e3f1) and typically scale with your production, so when you start to see which telemetries are significant and important for you to collect, you should down-sample or remove the others to reduce your costs.\n\n\n## Conclusion\n\nWe went over the general principles of effective monitoring and their different types.\n\n**Symptom-based monitoring** exploits SLI/SLO concepts, allowing us to produce alerts that reflect actual customer pain. You should page when you start burning your SLO budget.\n\n**Cause-based (or failure-based) monitoring** allows us to detect failures leading to high customer impact. Paging should only be used when a failure is too new or rare to have automated remediations and/or mitigations in place.\n\n**Resource-based monitoring** is sometimes unavoidable but should only be used when resource exhaustion cannot be automatically remediated (e.g., with auto-scaling mechanisms) or when you are getting out of your capacity planning. In both cases, page if, and only if, the page is actionable for your on-call engineer. Good capacity planning is the real key there.\n\nWe really can’t stress enough how important it is to refine your monitoring with rituals like **alert reviews**. This is especially true when you use cause-based and/or resource-based monitoring, as those tend to be short-termed and operational. They give you insight into the current failure rate, the adequacy of your capacity planning, and your level of toil. If you don’t want to be confined to operational views, reviewing your symptom-based monitoring and the related SLIs/SLOs should allow you to take your customers’ point of view.\n\nAs we saw, monitoring helps you improve the **responsiveness** and **reliability** of your service. It’s not an easy discipline and can get really expensive when misused, but an experienced engineering team should be able to design a monitoring system whose benefits clearly outweigh the costs. \n\nFor all these reasons, I personally think monitoring shouldn’t be considered plug-and-play: it is a fundamental engineering discipline.\n","createdAt":"2023-05-24T09:12:36.831Z","updatedAt":"2023-06-15T10:10:11.085Z","publishedAt":"2023-05-30T09:29:09.191Z","locale":"en","tags":"Best practices\nMonitoring\nObservability\nInfrastructure\nScaling","popular":false,"articleOfTheMonth":false,"category":"Scale","timeToRead":19,"excerpt":"Is monitoring the same as observability? What’s the difference between alerts, metrics, logs and traces? And how can monitoring help you improve your product? Find out all that and more in this guide!","author":"Enzo Nocera","h1":"A primer on effective monitoring practices","createdOn":"2023-05-30","image":{"data":{"id":2195,"attributes":{"name":"Monitoring_scaleway.webp","alternativeText":null,"caption":null,"width":1280,"height":720,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Monitoring_scaleway_9ac7c54cd0.webp","hash":"large_Monitoring_scaleway_9ac7c54cd0","mime":"image/webp","name":"large_Monitoring_scaleway.webp","path":null,"size":"164.60","width":1000,"height":563},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Monitoring_scaleway_9ac7c54cd0.webp","hash":"small_Monitoring_scaleway_9ac7c54cd0","mime":"image/webp","name":"small_Monitoring_scaleway.webp","path":null,"size":"52.87","width":500,"height":281},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Monitoring_scaleway_9ac7c54cd0.webp","hash":"medium_Monitoring_scaleway_9ac7c54cd0","mime":"image/webp","name":"medium_Monitoring_scaleway.webp","path":null,"size":"101.77","width":750,"height":422},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Monitoring_scaleway_9ac7c54cd0.webp","hash":"thumbnail_Monitoring_scaleway_9ac7c54cd0","mime":"image/webp","name":"thumbnail_Monitoring_scaleway.webp","path":null,"size":"20.84","width":245,"height":138}},"hash":"Monitoring_scaleway_9ac7c54cd0","ext":".webp","mime":"image/webp","size":47.85,"url":"https://www-uploads.scaleway.com/Monitoring_scaleway_9ac7c54cd0.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-05-24T09:09:30.333Z","updatedAt":"2023-05-24T09:09:30.333Z"}}}},{"title":"engineering-your-way-to-the-top-Alexandre-Brianceau-Rudder","path":"engineering-your-way-to-the-top-alexandre-brianceau-rudder/","description":"_Alexandre Brianceau is CEO of [Rudder](https://rudder.io), a French software vendor for infrastructure automation. Hired six years ago as Engineering Manager, he had to work hard to gain the trust of founders, developers and direct teams, before becoming CEO in 2020. What were the key challenges he had to overcome to get there? He gives us a heads-up before speaking at The Jam, Scaleway’s engineering leadership event on May 23, 2023._\n\n\n### Tell us about your experience upon joining Rudder…\n\nI joined in 2017, as Engineering Manager. The long term vision was to become CEO… but that objective wasn’t clearly expressed by the founders. They hired me for my empathy, and my desire to do something good with the product. The idea was to take down barriers bit by bit, to drive projects forward as well as possible. \n\nIt wasn’t easy for me, as **I’m not a leader, nor a developer… so I had a lot to learn. There was a great deal of ‘learning whilst doing’ at first**.\n\n\n### Like building a car whilst driving it?\n\nYes, and not knowing where you’re going, in what brand of car, with which passengers and so on! I tried to be lean and inclusive, but it was more about **determining the limits of leadership: identifying the precise moments you should pass the baton and delegate**. Today, the founders trust me to tell the company story alone, but it took a while to gain that trust. I still needed to prove to the founders that I’d fit with their culture. We’re in a niche, so we have a very narrow market share and a lot of expertise. \n\n\n### How did you gain their trust?\n\nAt first, I just tried to help as much as I could. **I built trust by helping people, by helping them to understand**, for example by rephrasing stuff to make sure they got it. Back then, the culture was “find a problem, fix it yourself”.\n\nIt wasn’t all easy, of course. I hired someone to help me with admin and legal issues, but my then-CEO took over management of that person, because he thought I wasn’t ready to manage her, and he didn’t recognize that he needed to step back and delegate more.\n\nSometimes I didn’t trust the founders about the future, and was afraid to take the lead, especially for sales. We didn’t have the money to hire salespeople, so I had to go and do sales myself. After around six months, it was clear I was terrible at it! Marketing is also a huge challenge for me.\n\nSo in my second and third years, I made a plan of who we needed to hire. By then, **thanks to a strong audit document and my clearly-expressed vision for the next few years, I’d gained the founders’ trust**, and so in 2019 managed to hire one sales, and one marketing person. \n\n\n### So it was plain sailing from then?\n\nNo, because then COVID happened! The then-CEO went off to work from Dordogne. He and I disagreed on how to manage, and I wanted more autonomy. I saw no future with him as CEO, and he saw no future for the company without me. So I took on his role. He’d ultimately become Head of Finance, and is there to support my vision. Our way of working together is very fluid now.\n\n\n### How did you make your own mark as CEO?\n\nI continued the **collaborative culture** that the founders first put in place, but **in a delegative way**. I also moved to Nantes, so I’m a remote CEO. It’s a different way of working, which demands a lot of written processes, so that there’s a trace of all decisions.\n\nWhen you get to a CEO level, it’s important that you comply with the previous management style before you start making changes. Then you can start with quick wins; then start adapting, and building something yourself, with your own tools and processes, i.e. making the function truly yours.\n\nNow I’m facing what are probably quite standard CEO challenges: **the teams look to you for leadership, but you look to them to be autonomous. CEOs aren’t the messiah!** I don’t have all the answers, nor do I have the time I used to. So you need to delegate, as you can’t keep doing everything you were doing before.\n\n\n### So you eased into the CEO role progressively. Despite that, did you ever doubt your legitimacy?\n\nI’m not an expert in software development. And back then, I knew nothing about corporate, legal or financial issues. **I didn’t even know what EBITDA means!** What I did know upon arriving at Rudder was how to manage up to 30 people. But not in a HR sense, just in a product management sense. \n\n**You always have doubts about yourself, but you get over them by learning, and by working with people that are better than yourself**. I love learning, and constructive conversations. I’m not good at math or coding, but I’ve always had a lot of friends who helped me. \n\nFor my whole career, I’ve always been the average guy, not the best one. But I’ve always known how to talk to people, and take leaps of faith. For example, I’m not that good at speaking English, but I’m understood. Overall, I make mistakes, but people get enough coordination and vision from me to make things work. \n\nSometimes I’m very happy with my successes, but at other times I feel down, because I don’t know if my vision is right. The fact is sometimes it doesn’t work, but if we couldn’t have tried harder, that’s fine. It’s test \u0026 learn, so even failure can even be good. And **our sales increased by 50% last year, so we must be doing something right!**\n\n\n### What are your specific tips for dealing with perfectionist engineer mindsets?\n\nI’m not the best at that! I don’t even think I’m here thanks to my engineering background, but due to the fact I’d managed millions of euros in past roles, at Bull (now ATOS) and at French Customs. Not forgetting my dance background… (I used to do 40 hours of ballroom dancing per week!) **In big companies as in dancing, even if you’re not the best, you have to look the best!**\n\nThat said, **my style of perfectionism is progressive**. I try to work out what the other person is afraid of, and then deconstruct that fear. For example, for that client sales proposal, should we send an email now, or wait five days to be able to send a fancy PDF document? In cases like this, we’ll take a quick, small step first (send the email) and then work out how we can template for next time, so we can make the result bigger and better in the future (the PDF). Like an MVP. \n\nI also find people are more comfortable when a decision is shared, rather than imposed. So in this case, when they can say “Alexandre and I decided to send the client an email”.\n\nIn short, I work well under pressure, so it’s OK to be perfectionist. But it’s also OK to take some intermediate steps to get there.\n\n\n_Discover more essential engineering insights from Alexandre IRL at The Jam, May 23 2023 in Paris! Laurent Bernaille, Principal Engineer at Datadog will also speak. [RSVP here to secure your seat](https://www.eventbrite.co.uk/e/the-jam-formerly-cto-forum-tickets-517301040337?aff=ArticleABrianceau)…_\n","createdAt":"2023-05-11T15:24:31.717Z","updatedAt":"2023-05-26T09:22:39.117Z","publishedAt":"2023-05-11T15:38:42.196Z","locale":"en","tags":"The Jam\nEngineering\nStory","popular":false,"articleOfTheMonth":false,"category":"Scale","timeToRead":5,"excerpt":"How can engineers successfully work their ways to the top of their companies? Alexandre Brianceau, CEO of Rudder, a French software vendor for infrastructure automation, tells his story","author":"James Martin","h1":"Engineering your way to the top - interview with Alexandre Brianceau, Rudder","createdOn":"2023-05-11","image":{"data":{"id":2219,"attributes":{"name":"The Jam visual Scaleway.webp","alternativeText":null,"caption":null,"width":2160,"height":1080,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_The_Jam_visual_Scaleway_ebcdb63a88.webp","hash":"large_The_Jam_visual_Scaleway_ebcdb63a88","mime":"image/webp","name":"large_The Jam visual Scaleway.webp","path":null,"size":"283.19","width":1000,"height":500},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_The_Jam_visual_Scaleway_ebcdb63a88.webp","hash":"small_The_Jam_visual_Scaleway_ebcdb63a88","mime":"image/webp","name":"small_The Jam visual Scaleway.webp","path":null,"size":"99.39","width":500,"height":250},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_The_Jam_visual_Scaleway_ebcdb63a88.webp","hash":"medium_The_Jam_visual_Scaleway_ebcdb63a88","mime":"image/webp","name":"medium_The Jam visual Scaleway.webp","path":null,"size":"186.68","width":750,"height":375},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_The_Jam_visual_Scaleway_ebcdb63a88.webp","hash":"thumbnail_The_Jam_visual_Scaleway_ebcdb63a88","mime":"image/webp","name":"thumbnail_The Jam visual Scaleway.webp","path":null,"size":"31.45","width":245,"height":123}},"hash":"The_Jam_visual_Scaleway_ebcdb63a88","ext":".webp","mime":"image/webp","size":823.01,"url":"https://www-uploads.scaleway.com/The_Jam_visual_Scaleway_ebcdb63a88.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-05-26T09:22:34.290Z","updatedAt":"2023-05-26T09:22:34.290Z"}}}},{"title":"data-powering-tech-efficiency-privacy-value","path":"data-powering-tech-efficiency-privacy-value/","description":"The adage “data is the new oil” may be verging on the prehistoric; and yet data has never been more essential to success in all business sectors, and in tech in particular. Just ask Google, Facebook \u0026 co… \n\nIn recent years, as our usage of digital tools has skyrocketed, so has the sheer production of data. Let’s not forget that in 2018, [IDC predicted that worldwide data would grow by 61%](https://www.networkworld.com/article/3325397/idc-expect-175-zettabytes-of-data-worldwide-by-2025.html), to 175 zettabytes (a zettabyte is a trillion gigabytes). And that was before the recent ChatGPT-fuelled AI explosion, which is currently generating countless times more data than the gazillions of web pages and images GPT-3 and 4 ingested during their training.\n\nThe key difference, of course, is that whilst most oil extracted has intrinsic value, the same cannot be said for data. A raw stream of information is useless if you don’t know what to do with it. Such knowledge is now critical. According to DELL’s “[Unlocking the Value of Data with Data Innovation Acceleration](https://www.dell.com/en-us/dt/technology-acceleration.htm#pdf-overlay=//www.delltechnologies.com/asset/en-us/solutions/business-solutions/industry-market/unlocking-the-value-of-data-with-data-innovation-acceleration.pdf)” report, better data management can improve product quality, application availability/predictability, customer service, productivity and more:\n![Source: Unlocking the Value of Data with Data Innovation Acceleration](https://www-uploads.scaleway.com/DELL_s_Unlocking_the_Value_of_Data_with_Data_Innovation_Acceleration_report_extract_57de0f2f37.webp)\n\nEven just taking the example of one industrial giant, global steel leader **ArcelorMittal** has “one of France’s biggest data lakes, because we have several sites and production lines, with countless sensors generating data each 10 milliseconds,” **David Glijer**, the company’s Digital Transformation Director, explained at France Digitale's [FD3](https://francedigitale.org/agenda/fd3) event in Paris, March 29. Making the most of this flood of information is precisely why ArcelorMittal has “a department whose goal is to create added value from data, and works with other teams to do that.” \n\nSo, why is it so important to optimize data usage?\n\n\n## 1. Efficiency\n\n“We produce 1 steel coil every 10 minutes. If we have the slightest quality deviation, we need to be able to react efficiently. So we need the data to be very close to the machine”, said Glijer, adding that the steel giant uses a **combination of on-premise, edge and cloud technologies in order to achieve this**.\n\nCloud technologies are, of course, key to efficiency. “**The cloud is frugal by design; it’s about sharing infrastructure and optimizing space,**” Scaleway’s Chief Operating Officer **Albane Bruyas** told the same panel. Central to that frugality, she explained, is using the cloud properly.\n\n“**Most of our Compute machines are made to be shared. When I joined Scaleway, I was surprised to discover how many people use these products like dedicated servers**. It’s important that the cloud be used how it was supposed to be used,” said Bruyas. This is particularly crucial considering most cloud instances are at rest 93% of the time.\n\nSo frugality isn’t just good for electricity bills, it’s also good for the planet. “We improve the impact of our data centers by analyzing where the biggest impact is,” said Bruyas. “We discovered the two most important parts of our impact are hardware and power. So we’re working to make sure that frugality is not only what we ask of our customers, but what we apply to what we do too.”\n\nThe notion of **responsibility** is another key to data efficiency, Bruyas added. “**You’re very sensible when you’re on premise, but when you move to the cloud, you forget to ask where the data is. And yet it’s crucial, because it’s about sovereignty and environmental impact**.\"\n\n\"If your cloud provider doesn’t give you that information, then there’s an issue, because the cloud is a strategic resource,\" Bruyas affirmed. \"This information will enable you to control your risks. A CTO should ask for information on power consumption, products, costs (now and in the long term), environmental impact… It’s really a client responsibility.”\n\n\n## 2. Privacy\n\n**GDPR** is another responsibility all companies handling data — i.e. all companies anywhere — have to deal with. But with some data restraints can come opportunities, as ‘deep data’ startup **XXII** reminded us at FD3.\n\nThe company, which uses AI with surveillance cameras to detect specific cases like traffic jams, garbage in the street, or even fires, has to focus on using **synthetic data** — information that’s artificially generated, rather than produced by real-world events — principally for privacy reasons.\n\n“Our main challenge is GDPR,” said Dam Mulhem, XXII’s Chief Data Officer. “All cameras we use are on the street, or in private entities. So there are issues of privacy, personal data, how we can collect data and how we can give it to the R\u0026D team to use. **We don’t want to use biometric data like facial recognition, nor to recognize gender**.\"\n\n\"We need thousands of images to train our model,\" he continued. \"Using synthetic data, we’re able to scale quicker, and attain operational effectiveness faster. Furthermore, with a sovereign cloud, we can provide that platform directly to our clients, so it’s easy to deploy.”\n\nMastering the data this way, explained Mulhem, is also positive for XXII’s future perspectives. “We build our own software internally, we input the datasets we already have, we have all the metadata, so we can generate on each image the scale, the field of view, the whole chromatic operation with great balance. To generate data, **as we already have an API internally, we can say, for example, ‘I need 10,000 fires’, then they can have the full dataset in just a few hours**.”\n\n\n## 3. Value(s)\n\nSo once efficiency and privacy are covered, how exactly do you go about **generating value from data**? Values are, fittingly, key to this equation. If prospects know their values are aligned with those of your company, they’re more likely to become customers.\n\nThis is one of the reasons XXII has an **ethical committee**, said Malhem, “so whenever we get a new request from a client, we discuss it first. Even if we know how to do facial recognition, we don’t want to provide it to [just] anyone. In airports, we’ve all agreed to have our biometric data available, through our passports. [But elsewhere] it’s not a good idea.”\n\nGlijer concurred that “it’s very important for us to have partners that share our values. **It makes no sense to work with people who aren’t in favor of decarbonation**, for example (ArcelorMittal has pledged to be carbon neutral by 2050). So we need to create a big ecosystem and a strong will in society, for example to use more ‘green IT’ computers. It needs to be a big movement that we want to continue.”\n\nData is equally key to generating future value for ArcelorMittal’s, said Glijer. “We want to be an Industry 4.0 leader in Europe. Next year, we’re starting our first digital-native plant, with new IT systems, automation and 5G by design.” All of which will be impossible without the right data.\n\n\nStill not convinced of data’s true value? A recent study on [Measuring the Effectiveness of Data](https://www.datascienceassn.org/sites/default/files/Measuring%20Business%20Impacts%20of%20Effective%20Data%20I.pdf) from the University of Texas found that if the median Fortune 1000 business increased the usability of their data by just 10%, it would translate to an increase in $2.01 billion in total revenue every year ([source](https://www.linkedin.com/pulse/extracting-value-from-data-successful-digital-tushar-gupta/)). And according to DELL’s aforementioned report, the companies who innovate the most when it comes to data increased their revenue by 19% and released around five more products than those just making a standard effort.\n\nIn a nutshell, investing in data always pays off. Especially with AI propelling us into a brave new world as we speak…\n\n\n","createdAt":"2023-04-19T15:10:14.609Z","updatedAt":"2023-04-21T08:14:31.022Z","publishedAt":"2023-04-21T08:14:31.010Z","locale":"en","tags":"Data\nStartup","popular":false,"articleOfTheMonth":false,"category":"Scale","timeToRead":4,"excerpt":"Data management has never been more critical to business success. But how can it be handled efficiently, whilst respecting privacy, and generate value... in line with a company's core values? ","author":"James Martin","h1":"How Data is powering tech efficiency, privacy and value(s) ","createdOn":"2023-04-21","image":{"data":{"id":2103,"attributes":{"name":"Composer.webp","alternativeText":null,"caption":null,"width":3146,"height":1762,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Composer_c2bc5a6a84.webp","hash":"large_Composer_c2bc5a6a84","mime":"image/webp","name":"large_Composer.webp","path":null,"size":"232.23","width":1000,"height":560},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Composer_c2bc5a6a84.webp","hash":"small_Composer_c2bc5a6a84","mime":"image/webp","name":"small_Composer.webp","path":null,"size":"76.37","width":500,"height":280},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Composer_c2bc5a6a84.webp","hash":"medium_Composer_c2bc5a6a84","mime":"image/webp","name":"medium_Composer.webp","path":null,"size":"150.67","width":750,"height":420},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Composer_c2bc5a6a84.webp","hash":"thumbnail_Composer_c2bc5a6a84","mime":"image/webp","name":"thumbnail_Composer.webp","path":null,"size":"26.30","width":245,"height":137}},"hash":"Composer_c2bc5a6a84","ext":".webp","mime":"image/webp","size":571.9,"url":"https://www-uploads.scaleway.com/Composer_c2bc5a6a84.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-04-19T15:30:20.260Z","updatedAt":"2023-04-19T15:30:20.260Z"}}}},{"title":"Boosting medical breakthrough with deeptech","path":"boosting-medical-breakthrough-with-deeptech/","description":"Accelerated by COVID-19 — whose vaccine was discovered by deeptech companies BioNTech and Moderna — the health tech market is currently booming. Healthcare as a sector was projected to reach a value of $10 trillion by 2022, with growth driven by trends like **AI — which has already generated $8bn for the healthcare industry, and is estimated to reach more than double that by 2030** — and regenerative medicine, which is set to reach $57bn by 2027, a growth rate of 11%, according to [BCG \u0026 Hello Tomorrow](https://hello-tomorrow.org/inclusive-and-affordable-healthcare/).\n\nDeeptech, or innovations born in universities and research labs which then evolve into startups, is the intellectual driving force behind this growth. Thanks to such breakthroughs, it’s now possible to consult an AI-powered doctor on your smartphone, to improve mental health with electric brain stimulation, and to optimize drug efficiency thanks to quantum computing. Let’s find out more about the deeptech health revolution!\n\n\n## Preventing illness with data\n\nData is, of course, a major factor in digital health. “**70% of all costs on healthcare are predictable, and therefore preventable**. Instead of waiting for people to get sick, we can collect data in real time, analyze it, and intervene early,” said **Ali Parsa**, Founder \u0026 CEO of medical app provider **Babylon Health** on a [panel at Web Summit 2022](https://www.youtube.com/watch?v%3DHas-J1XTBFY\u0026sa=D\u0026source=docs\u0026ust=1679652137633443\u0026usg=AOvVaw0EiU1IWfsQ-jHqmpiaheNS). Claiming to be “more than a doctor in your pocket”, Babylon’s mobile app answers simple questions like “why do I have a pain in my chest?”, providing AI-powered answers to point patients in the right direction. Used by partners as big as the **UK’s National Health Service (NHS)**, as well as companies like **BNP Paribas** or **Shell**, it essentially performs a role of triage, or filtering patients before they are seen by a real healthcare professional. So a bit less than a doctor in your pocket, in fact.\n\nWhilst the app will inevitably learn more and more the data it ingests — thereby training its AI model towards a world where “doctors are warned with data all the time, in real time”, as Parsa puts it — the success of Babylon Health also underlines a **key limit of healthtech: way more than other sectors, it has to comply with countless regulations**, in the interests of patients’ safety.\n\nThis also means that depth and breadth of research carried out by such deeptech companies can be key to proving their academic credentials, and therefore trustworthiness. \n\n\n## Quantum computing for more efficient medicine\n\nThis is why Babylon Health proudly claims to have [20 peer-reviewed research papers](https://www.babylonhealth.com/us/ai/peer-reviewed-research)… a figure dwarfed by the [300 papers](https://algorithmiq.fi/research) that **Algorithmiq** claims to have inspired. This Finnish deeptech company applies quantum computing to drug development and discovery. “We know **90% of drugs fail to properly cure 50% of the population, because we are not able to predict with sufficient accuracy how drugs bind to proteins and small molecules** (and therefore why the same drugs work differently on apparently similar patients),” **Sabrina Maniscalco**, Algorithmiq’s Co-founder \u0026 CEO said on the aforementioned panel. “This is exactly what quantum computers can do, so they are going to revolutionize our society, and in particular, healthcare and life sciences.” \n\nThis “revolution” will naturally improve people’s lives, but also pharmaceutical companies’ bottom lines. As [Algorithmiq itself reminds us](https://www.youtube.com/watch?v=BEHG3tt-w80), **the cost of drug research has grown tenfold since the 1980s… yet the number of new drugs discovered per year remains relatively stable**. So medicinal research is not only getting more and more expensive, it’s also showing less and less return on investment. Could quantum computing be the silver bullet here? \n\n**Quantum computing won’t be used at scale for another 10-15 years**, admits Maniscalo, who still insists Algorithmiq is already learning from this advanced tech. “Quantum computers are weird for most people, who don’t know how they work”, she said. “And yet molecules are quantum systems. It’s not just doing something faster, but something that cannot be done otherwise. Testing how drugs work in our bodies wouldn’t be possible with normal computers.”\n\n\n## Treating illness with data\n\nBoasting almost as many [research papers](https://www.neuroelectrics.com/wiki/index.php/Collection_of_publications_of_independent_research_studies_and_mentions_about_Starstim) - think deeptech brownie points - as Algorithmiq, **Neuroelectrics** has developed a headset that stimulates the brain to improve mental health. “There are almost 100 billion neurons in your brain”, said Ana Maiques, the company’s Co-founder \u0026 CEO at Web Summit. “The brain is electrical, and also it's chemistry, so (with our headset) I can stimulate the brain with electricity. This can modulate the brain and maybe help patients. For example, **with epilepsy, we have shown that we can reduce seizures in children that don’t respond to medication**.”\n\nSo, does Maiques expect people to wear Neuroelectrics’ headsets all the time, even in the street? No, she answered, “the idea is that patients will be prescribed this therapy at home, without having to go back to the hospital for treatments. **We need to electrically stimulate your brain day after day after day, until it ‘rewires’.**”\n\nNeuroelectrics works in the field of **transcranial direct current stimulation** (tDCS), which has actually been around for a while. More precisely, the deeptech company’s headset provides Transcranial magnetic stimulation (TMS), a practice “cleared by the FDA to treat depression that hasn't responded to standard medicines, and for obsessive-compulsive disorder”, according to [Harvard Health Publishing](https://www.msn.com/en-us/health/medical/can-electrical-brain-stimulation-boost-attention-memory-and-more/ar-AA18aqMR). The jury remains out, however, as to whether tDCS actually works as Neuroelectrics and similar companies claim, namely at reducing ‘brain fog’, depression and ADHD.\n\nMaiques, naturally, remains bullish. “Instead, today, **psychiatrists say ‘take this drug and come back in 3 months, we’ll see how you respond’. What kind of science is that?** It’s a black box! If we can use all the technologies we have today to understand how the brain is going to respond to a drug, we are going to make a giant leap.”\n\n\n## Blue sky, or a new era?\n\nThe extent of that “giant leap” won’t only be limited by whether all this impressive deeptech actually works or not. Interactions between academia and the business world can often be complex, as investor **Fifty Years’ Seth Bannon** said on a panel at deeptech event the **Hello Tomorrow Summit** in early March, **TTOs, or universities' Technology Transfer Offices, are currently stifling deeptech innovation**. “It’s their responsibility to monetise the IP of the university. It’s a very noble cause. But they often shoot themselves in the foot by making it impossible for the startup to raise money, for example by **taking too much equity. 5-10% is a healthy rate. In Europe, we’ve seen some universities take 40%**. That leaves no room for investors, and hobbles the founders.”\n\nYet as in life, as in business: no pain, no gain! “**Lots of people say ‘because it’s health care, we can’t take risks’. We’re taking risks by doing nothing!**” warns Parsa. “What we are doing in biology today is fundamentally game-changing. This has unbelievable opportunities, and risks. That will be the defining thing in health care, not technology. It’s genetics, and biology”.\n\n","createdAt":"2023-04-05T08:39:34.164Z","updatedAt":"2023-04-05T12:35:12.773Z","publishedAt":"2023-04-05T08:54:08.847Z","locale":"en","tags":"Discover\nAI\nDeeptech\nStartup","popular":false,"articleOfTheMonth":false,"category":"Scale","timeToRead":4,"excerpt":"Deeptech, or startups born out of universities and research labs, is currently driving health innovation. Here's how...","author":"James Martin","h1":"From Quantum computing to brain stimulation: How deeptech is boosting healthcare","createdOn":"2023-04-05","image":{"data":{"id":2049,"attributes":{"name":"Post_AI_Healthcare_Illustration_Blog_6159f58dc4.webp","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.webp","hash":"large_Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86","mime":"image/webp","name":"large_Post_AI_Healthcare_Illustration_Blog_6159f58dc4.webp","path":null,"size":25.95,"width":1000,"height":618},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.webp","hash":"small_Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86","mime":"image/webp","name":"small_Post_AI_Healthcare_Illustration_Blog_6159f58dc4.webp","path":null,"size":12.5,"width":500,"height":309},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.webp","hash":"medium_Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86","mime":"image/webp","name":"medium_Post_AI_Healthcare_Illustration_Blog_6159f58dc4.webp","path":null,"size":19.13,"width":750,"height":464},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.webp","hash":"thumbnail_Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86","mime":"image/webp","name":"thumbnail_Post_AI_Healthcare_Illustration_Blog_6159f58dc4.webp","path":null,"size":5.51,"width":245,"height":152}},"hash":"Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86","ext":".webp","mime":"image/webp","size":37.69,"url":"https://www-uploads.scaleway.com/Post_AI_Healthcare_Illustration_Blog_6159f58dc4_de9653de86.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-04-05T08:40:42.045Z","updatedAt":"2023-04-05T08:40:42.045Z"}}}},{"title":"KCD-FRANCE-2023","path":"kcd-france-2023/","description":"If you’ve spent more than five minutes with anybody from Scaleway, you know how much we’re into Kubernetes—so when we found out that France’s first-ever Kubernetes Community Days was being planned, we knew we had to be there! KCD France 2023 was held on 7 March and a bunch of the Scaleway team were there as speakers, sponsors, and active participants in this vibrant and dynamic community. Now, after a few weeks of contemplation and digestion, I’d like to share some of our thoughts, reflections, and observations on what was an early contender for top local tech event of the year.\n\nThe event was held at the fabulous [Centre Pompidou](https://www.centrepompidou.fr/), a world-renowned contemporary art museum in the heart of Paris. This made for a unique atmosphere and some interesting challenges in terms of space and organisation. Notably, there wasn’t a single theatre space large enough to accommodate all of the nearly one thousand attendees during the plenary sessions, so instead, three different theatre spaces were used. These rooms were named “Bleu”, “Blanc”, and “Rouge” after the colours of the French flag, which was the first indication that this was a proudly Made in France event. The plenary itself was split into three parts, with each part being presented live and simulcast to big screens in the other two rooms.\n\n## Starting at the start\n\n_KCD was the place to be! For somebody who is always curious, like me, this was a great opportunity to broaden my understanding of Kubernetes._\n– [Robert JOSEPH](http://blog.harmakhis.net/), IT System Engineer\n\nSo what did we learn that morning? [Hana Khelifa](https://twitter.com/hanakhelifa), Content Marketing Lead here at Scaleway, had some great insights to share:\n\n_The day started strongly right from the opening keynote, as moderated by the wonderful [Jérôme Petazzoni](https://hachyderm.io/@jpetazzo). The first speaker was [Solomon Hykes](https://hachyderm.io/@shykes), who presented their new DevOps platform called Dagger—what it is, how it works, and that they want it to be as revolutionary as Docker._\n\nSo what is Dagger? If you believe the marketing material, it aspires to be a “devops operating system”. The idea is straightforward: a programmable CI/CD engine that runs pipelines in standard [OCI containers](https://opencontainers.org/). Notably, it uses GraphQL to build and parse directed acyclic graphs, or “DAGs”, which was a word that Solomon said a lot. In fact, the concept is so fundamental to the platform that they literally named their product after it. 😆 Hana continues…\n\n_Did you know that the [National Education](https://www.education.gouv.fr/) system of France uses Scaleway infrastructure? And Kubernetes too. This is especially important during the annual baccalaureate period when they need to deal with the equivalent of a millions pages of tests, texts, and treatises per day! Auto-scaling is the obvious killer feature here, but they also benefit from having year-round reliability to run not only their applications, but their MongoDB and PostgreSQL databases as well. It was a pleasant surprise to see how on-point they are in this area._\n\nAfter that interesting presentation, I had an opportunity to get on stage myself! Instead of a standard-issue sponsor pitch, I thought I’d do something a little different—something more entertaining! And what better way to get the audience talking than to drive right at the most pressing issue of our era: [how do you pronounce kubectl](https://speaking.dark.ca/N8m0dP/kubectl-ca-se-prononce-comment-ca)? (The answers may surprise you. 😉)\n\nFollowing that, Hana and I both attended [Alexandre Mechain](https://www.kcdfrance.fr/programme/pourquoi-votre-observabilite-vous-coute-trop-cher)’s talk on Observability, and why it costs so much:\n\n_I liked this talk about Observability because there was concrete advice on how to make it less expensive:_\n- _Don’t pay to collect the data_\n- _Don’t ship any data that you don’t really need_\n- _The open source telemetry ecosystem is very mature now_\n- _Optimise how your data is stored; for example, SSDs vs block storage vs cold storage_\n- _Don’t store every info-level log message—you only need errors and warnings. The rest can be turned into metrics_\n\nTo that I’ll add that protocols, projects, platforms, and tools such as StatsD, Open Telemetry, Prometheus, Logstash, and so forth are powerful and well-understood by our industry. Rolling your own solution isn’t always the way to go, but whether you choose to lock into a vendor or not, Alexandre’s advice is sound.\n\n## Let’s all go the lobby\n\n_KCD was a high-quality event. It was a good place to meet the French Kubernetes community, talk to people with very different use-cases, and exchange with other Kubernetes service providers._\n– [Alexandre GESTAT](https://www.linkedin.com/in/alexgestat/), Product Marketing Manager\n\nAfter a great morning of presentations it was time to hit the floor and visit with all of the great sponsors, without whom the conference would never have been possible! I’ll let [Thibault Genaitay](https://www.linkedin.com/in/thibaultgenaitay/), our Kubernetes Product Manager, fill you in on some of his highlights.\n\n_The stands were organised into two groups, with the French and European companies towards the front, and the other sponsors towards the back. Another sign that we were at KCD France, specifically! It was good to see international companies though, with representation from the likes of JFrog, Lacework, and Palo Alto Networks. Thinking more locally, I was glad to see ENIX, as well as our partner in crime, WeScale._\n\nWe have more in common with WeScale than just the name. They helped us build our inaugural [Scaleway Certification course](https://www.scaleway.com/en/certifications/), and we do all sorts of things like webinars and other activities with them as well.\n\n## More talks!\n\n_I met plenty of people with strong skills and a high-level knowledge of Kubernetes._\n– [Louis PORTAY](https://fr.linkedin.com/in/louis-portay), DevOps Engineer\n\nAfter lunch it was back to more talks! Thibault resumes…\n\n_First stop: a talk about GitOps by [Madou Coulibaly](https://www.kcdfrance.fr/programme/comprendre-les-bases-de-gitops-quest-ce-que-gitops-et-pourquoi-cest-important) of Gitlab, wherein we compared the lifecycle of an application within the DevOps framework to that of infrastructure—within the GitOps framework. So what is GitOps? It starts with codification, which involves concepts such as Infrastructure-as-Code, configuration policies, and so forth. The next layer is collaboration, where stakeholders use git tooling to review and manage changes (i.e. pull requests, etc). Then there’s automation, where those changes are deployed and via pre-built pipelines using CI/CD principles._\n\nAccording to Madou, when it comes to actually implementing GitOps in practice, there are two major strategies: pushing and pulling.\n\n_In a push-based model, the pipeline sends (pushes) the changes to the target. In a pull-based model, an agent analyses the desired state, compares it to the current state, and then synchronises the target._\n\nNext up was a deep dive into database operators, as presented by [Alexandre Buisine and David Donchez of Enix](https://www.kcdfrance.fr/programme/lenfer-des-db-sql-sur-kubernetes-face-a-la-promesse-des-operateurs)—in full pirate regalia! The talk was peppered with delightful Age of Sail-themed references and they had a large audience on the replay screen in the vendor hall. Thibault notes that, “everybody is still asking the same question: should we be running databases in Kubernetes?”\n\nWhen we’re talking about databases in Kubernetes, we’re also talking about operators. These are extensions that make use of [custom resources](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/) to manage applications and their components. The potential for operators is basically unlimited, and while they do (or at least should) follow accepted Kubernetes design principles, the reality is that they’re software components like any other—and that means things like feature completeness, behaviour management, and life-cycle maintenance are very real concerns. Database operators are not exempt, and the duo from Enix presented their criteria for analysing whether a given operator is ready for production or not. Thibault continues…\n\n- _The first thing is the documentation: if the docs are hard to find, or aren’t exhaustive, then the operator can be dismissed immediately._\n- _Next up, how does it run? Is there an interface—graphical, or as a plugin for kubectl?_\n- _What about permission management? Can this be handled programmatically, or does it need to be declared manually?_\n- _What happens when something inevitably goes wrong and you need to do a hot swap of the primary database? What does the high availability story look like?_\n- _Observability is a major concern. Does the operator have Prometheus integration, for example? And if so, what custom metrics and other data can be obtained? Can this data be accessed from native tooling, or do you need a separate platform?_\n- _What if the problem requires a rollback, or restoring from a backup? Where are the backups stored? How are they made—for example, point-in-time recovery versus deltas—and what is the retention period? Is an in-place recovery even possible?_\n- _Finally, how are upgrades handled?_\n\nThat last point is super important. Database upgrades tie basically every previous point together, and if all of those other criteria aren’t satisfied, the necessary act of upgrading can become a dangerous proposition. Happily, there are some good quality operators out there, including StackGres and CloudNativePG—so definitely give those a look, especially if Postgres is your jam. 👍\n\n## The hits keep on coming!\n\n_KCD was a dream opportunity to meet the community. I gained a deeper understanding of the entire Kubernetes eco-system. As a bonus, talking to real users gave me some great inspiration on how we can make our own open source tooling more useful!_\n– [Leïla Marabese](https://github.com/Mia-Cross), DevOps Engineer\n\nOur very own [Louis Portay](https://www.kcdfrance.fr/programme/vpc-dans-k8s-pas-aussi-simple-que-ca-en-a-lair) took the stage during the afternoon with a talk entitled “VPC in k8s: not as simple as it appears”. As the name would suggest, this was all about the interesting technical challenges and triumphs necessary to implement the concept of a Virtual Private Cloud within the context of a managed Kubernetes, and at the scale of a cloud provider.\n\nLouis walked the audience through both the theory and the practice of implementing private networks, and didn’t shy away from technical details. I was interested to learn about how network-layer details can be gathered and transmitted via the [Cloud Controller Manager](https://kubernetes.io/docs/concepts/architecture/cloud-controller/), which is a control plane component designed specifically for public cloud infrastructure. The talk was well-received by the audience—kudos, Louis! 😁\n\nLast, but certainly not least, was a surprisingly rich presentation by [Daniel Benisty and Laurent Nocus](https://www.kcdfrance.fr/programme/5-ans-avec-kubernetes-retour-sur-le-deploiement-des-conteneurs-chez-pole-emploi) from a French governmental organisation called Pôle Emploi. This entity has been using Kubernetes in production and at scale for the past five years, primarily to deliver an internal platform for their developers to deploy on. Thibault provides some highlights:\n\n_The numbers are impressive: 20,000 pods, 3,000 developers and technologists, 58,000 employees interacting with it daily, and roughly 470 million visits last year. They have a sprawling, diverse infrastructure that is managed entirely on-premise in three different locations._\n\nI really appreciated how open, honest, and humble these speakers were. They weren’t afraid to share their failures with us, which is a rare and fantastic treat that allows us all to learn from each other.\n\n## Final thoughts\n\nLet’s loop back to Hana for some closing remarks:\n\n_The day went by quickly—which was a good thing. The quality of the presentations was very high, and it was inspiring to be in such a prestigious museum, surrounded by art and creativity! The attendees and volunteer staff were all friendly, and everybody was passionate about learning and exchanging ideas. I even had a chance to chat with the organisers. The event was nine months in the making, and completely volunteer owned and operated. That’s passion—and it showed._\n\nIn summary, KCD France 2023 was a prime example of how to run a sizeable community conference. We’re already looking forward to next year!\n\np.s. If you’re comfortable with the French language, you should definitely check out all the great sessions that have been posted on the [KCD France YouTube channel](https://www.youtube.com/@KubernetesCommunityDaysFr).\n","createdAt":"2023-03-30T13:02:45.750Z","updatedAt":"2023-03-31T10:05:50.902Z","publishedAt":"2023-03-31T07:48:36.142Z","locale":"en","tags":"Kubernetes\nStory","popular":false,"articleOfTheMonth":false,"category":"Scale","timeToRead":9,"excerpt":"Scaleway was out in force at KCD France 2023. A full days of talks, workshops, special events, and a fantastic community vibe. Read on for our full recap!","author":"Daniel Maher","h1":"Reflections on Kubernetes Community Day France 2023","createdOn":"2023-03-31","image":{"data":{"id":2035,"attributes":{"name":"KubernetesKapsule-Illustration-1280x720.webp","alternativeText":"KCD France","caption":"KCD France","width":1280,"height":720,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Kubernetes_Kapsule_Illustration_1280x720_1245b3e107.webp","hash":"large_Kubernetes_Kapsule_Illustration_1280x720_1245b3e107","mime":"image/webp","name":"large_KubernetesKapsule-Illustration-1280x720.webp","path":null,"size":"223.14","width":1000,"height":563},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Kubernetes_Kapsule_Illustration_1280x720_1245b3e107.webp","hash":"small_Kubernetes_Kapsule_Illustration_1280x720_1245b3e107","mime":"image/webp","name":"small_KubernetesKapsule-Illustration-1280x720.webp","path":null,"size":"66.95","width":500,"height":281},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Kubernetes_Kapsule_Illustration_1280x720_1245b3e107.webp","hash":"medium_Kubernetes_Kapsule_Illustration_1280x720_1245b3e107","mime":"image/webp","name":"medium_KubernetesKapsule-Illustration-1280x720.webp","path":null,"size":"133.77","width":750,"height":422},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Kubernetes_Kapsule_Illustration_1280x720_1245b3e107.webp","hash":"thumbnail_Kubernetes_Kapsule_Illustration_1280x720_1245b3e107","mime":"image/webp","name":"thumbnail_KubernetesKapsule-Illustration-1280x720.webp","path":null,"size":"23.57","width":245,"height":138}},"hash":"Kubernetes_Kapsule_Illustration_1280x720_1245b3e107","ext":".webp","mime":"image/webp","size":74.53,"url":"https://www-uploads.scaleway.com/Kubernetes_Kapsule_Illustration_1280x720_1245b3e107.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-03-30T15:49:24.593Z","updatedAt":"2023-03-30T15:52:08.829Z"}}}},{"title":"KCD-AMS-2023","path":"kcd-ams-2023/","description":"Kubernetes Community Days Amsterdam 2023 was held on 23 and 24 February—and Scaleway was there! Two days of talks, workshops, special events, and a vibrant sponsor floor representing everything from international banks to pre-seed start-ups. It was a packed event, and one that we were happy to share with community members from across Europe. Of course, we couldn’t do everything, so I invited some of our friends to share some of their favourite moments as well! Let’s dive in. \n\nFor me, the best part of any conference is the unconference! Open spaces, hallway track, and the serendipity of chance conversations and impromptu hacks. Luckily for me, I was joined by [Hao Xie](https://www.linkedin.com/in/hao-xie-5b8a146/), our Startup Evangelist in the Netherlands, and together we roamed the conference hall speaking with attendees and sponsors alike. I’ll let Hao hop into the driver’s seat for a moment: \n\n_We were wearing our Scaleway hoodies and the moment we arrived in the exhibition hall someone smiled at us and exclaimed enthusiastically “Scaleway!” It was Radu Matei from Fermyon Cloud, a startup which has developed an open-source tool to deploy and manage cloud native WebAssembly applications. “Hey, how do you know us?” I asked. Radu explained that he had looked into Scaleway cloud products and literally said that we “have an excellent price/performance ratio”. This was a great start to start the event!_\n\n(I’d like to pause a moment to point out that this actually happened! 😆)\n\n_During the two-day Kubernetes event, we were thrilled to meet new people, connect with existing customers, and to meet partners in our [Startup Program](https://www.scaleway.com/en/startup-program/). One of our existing customers, Jeroen Veldhorst, CTO of Avisi, told us that he is excited to visit the data centres that we built in a decommissioned [nuclear fallout shelter](https://www.scaleway.com/en/blog/meet-fr-par-3/). I’d also like to give a shout-out to Krzystof Baran, Kubernetes enthusiast andis CTO at Oasys—a Dutch biotech company in our startup program which develops a solution for genomics. These are just a few of the wonderful people that we encountered._\n\n## Conference Tribe\n\nEvery community has a sort of conference tribe, and these ephemeral situations often have a more stable population than might be expected. It’s not uncommon to run into people you only know from other conferences! To wit, I was thrilled to run into [Marc Duiker](https://twitter.com/marcduiker), Senior Developer Advocate at Diagrid, who—like me—has a passion for technology, community-building, and 8-bit art. Marc sent along some observations.\n\n_I'm still quite new to the Kubernetes world so attending KCD AMS was a great way for me to learn more about how K8S is used in real life. I'm very interested in how companies go to production, and was eager to attend the sessions by speakers from Picnic, ING bank, and Rabobank. Across these three sessions I was impressed by the amount of work these teams have put in in order to have scalable and resilient systems running in production. What I found interesting about the Picnic session in particular was the level of orchestration required to control both the hardware—in the form of conveyor belts with crates of products—and software to manage orders and inventory. A lot of experimentation was involved to see how much latency the overall system could tolerate when moving from an on-premise system to a cloud-based solution. Honestly, if this were a Netflix series, I would watch it!_\n\nThere were lots of great talks over the two days. One of the stand-outs for me was a session from [Floor Drees](https://twitter.com/FloorDrees), Staff Developer Advocate at Aiven, about the unsung travails of open source maintainers. Kubernetes, like so much of the software that makes the internet go, is open source—but while K8S benefits from being a CNCF project, most OSS projects are managed by small teams, or even just one person. Some of the world’s most-used Javascript packages, system libraries, and infrastructure tools are developed and maintained by people who have day jobs—Floor reminded us that, as an industry, we have a long way to go in recognising and supporting open source maintainers and volunteers.\n\n## Banks, Bureaucracy, and Belts\n\nSpeaking of Floor, she was kind enough to share some of her thoughts with us as well!\n\n_I thought it was really interesting to see two big banks represented as attendees, sponsors, and speakers! Adnan Hodzic, Lead Site Reliability Engineer at ING, held a short but powerful presentation covering ING’s Machine Learning Platform and their two-year migration journey to Kubernetes. Also from ING, Robbin Siepman, Lead Developer, talked about their container hosting project. Cherwin Nooitmeer, SRE at Rabobank, also spoke on the topic of their cloud transformation, open source adoption, and manual update strategy—which, surprisingly, has the powerful upside of giving them total control and awareness of versioning across the organisation._\n\n_From the public sector, Jurgen Allewijn and Dinant Paardenkooper, Cloud Native Architects at the City of Amsterdam, shed light on overcoming challenges using a managed Kubernetes service in the public cloud in a secure and multi-tenant way, but with the added challenge of having to comply with local government regulations, too!_\n\n_Finally, I really enjoyed Gijs van der Voort, SRE Lead and Python ambassador at Picnic (a groceries delivery service in the Netherlands). He talked about what it takes to control 14 kilometres of conveyor belts in their automated warehouses—and about how Picnic went from Cloud first, to on-prem, and back again! An honest story about the difficulties in discovering what one is good at, and then focusing on that._\n\nIn closing, I’d like to thank all of the organisers of the event, as well as the sponsors—without whom the event couldn’t have happened—and, of course, everybody who came! A tech conference is nothing without the community that attends.\n\nSee you next time! 👍","createdAt":"2023-03-08T21:29:33.713Z","updatedAt":"2023-03-28T09:40:35.666Z","publishedAt":"2023-03-09T16:57:54.279Z","locale":"en","tags":"Kubernetes\nStory","popular":false,"articleOfTheMonth":false,"category":"Scale","timeToRead":4,"excerpt":"Scaleway and friends were at KCD Amsterdam 2023. Two days of talks, workshops, special events, and a fantastic community vibe. Read on for our full recap!\n","author":"Daniel Maher","h1":"Reflections on Kubernetes Community Day Amsterdam 2023","createdOn":"2023-03-09","image":{"data":{"id":1943,"attributes":{"name":"Corpo-Internet-Illustration-Blog.webp","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Corpo_Internet_Illustration_Blog_59303abe2b.webp","hash":"large_Corpo_Internet_Illustration_Blog_59303abe2b","mime":"image/webp","name":"large_Corpo-Internet-Illustration-Blog.webp","path":null,"size":"483.51","width":1000,"height":618},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Corpo_Internet_Illustration_Blog_59303abe2b.webp","hash":"small_Corpo_Internet_Illustration_Blog_59303abe2b","mime":"image/webp","name":"small_Corpo-Internet-Illustration-Blog.webp","path":null,"size":"164.49","width":500,"height":309},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Corpo_Internet_Illustration_Blog_59303abe2b.webp","hash":"medium_Corpo_Internet_Illustration_Blog_59303abe2b","mime":"image/webp","name":"medium_Corpo-Internet-Illustration-Blog.webp","path":null,"size":"315.27","width":750,"height":464},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Corpo_Internet_Illustration_Blog_59303abe2b.webp","hash":"thumbnail_Corpo_Internet_Illustration_Blog_59303abe2b","mime":"image/webp","name":"thumbnail_Corpo-Internet-Illustration-Blog.webp","path":null,"size":"52.62","width":245,"height":152}},"hash":"Corpo_Internet_Illustration_Blog_59303abe2b","ext":".webp","mime":"image/webp","size":672.37,"url":"https://www-uploads.scaleway.com/Corpo_Internet_Illustration_Blog_59303abe2b.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-03-08T21:28:31.695Z","updatedAt":"2023-04-05T09:52:41.206Z"}}}},{"title":"the-transformers-project","path":"the-transformers-project/","description":"Over the last few decades, repairing electronic devices — something that used to be an absolute standard — has become pretty rare and often impossible. These days, we even have to politically campaign for a “right to repair” items that we own.\n\nSo when electronics stop working, throwing them out often seems easier, creating mountains of often toxic trash. That goes for your old MacBook and phone, but it also goes for much bigger machines: the servers that run the cloud. \n\n## The carbon footprint of new servers is huge\n\nServer manufacturing represents 15–30% of each machine’s carbon impact. Reusing existing machines, rather than buying new ones, reduces e-waste — the fastest-growing waste category today — and lowers greenhouse gas emissions. So when we noticed that a bunch of our old servers had a high failure rate but were otherwise performing well, we decided not to throw them out but to retrofit them — all 14,000 of them.\n\nWe adapted and optimized our workshop at our DC5 data center to handle this new project and extend our hardware lifespan. Today, our servers are used for up to 10 years — versus the industry average of three to four years — and nearly 80% of components are recycled.\n\n## A new life for old servers \n\nWe deal with thousands of machines on a daily basis, and one issue kept popping up in our metrics: our older servers were performing well, but they had the highest failure rate among our machines.\n\nOur investigations showed that the issue came from the RAID controllers: they have a battery, which increases the failure rate. The fact that there were server issues because of battery failures also indicated that even if we replaced them, it wouldn’t lead to long-term, reliable performance.\n\nMost modern servers are not equipped with hardware cards. So removing the physical RAID controllers should not significantly impact the performance. These days, RAIDs are mainly software RAIDs created with mdadm, which is more reliable in the long term.\n\nOur decision to remove the RAID controllers led to a large-scale retrofitting project: after ensuring that the servers were still compatible with recent technologies and would fit clients’ needs, we decided to retrofit them. \n\n_All of them._\n\nOur goal? To achieve a high level of reliability and performance on these servers through a three-step qualification, testing, and validation process.\n\nWe began by setting performance objectives for the finished product and taking a more detailed inventory of the underperforming servers. We grouped the servers by a specific set of criteria, including information such as their physical location (which data center they were in), the chassis, the CPU, the catalog they are currently sold in, what catalog they could be sold in post-retrofit, etc.\n\nOnce we had set out our performance objectives and identified our groups of servers, we needed to test whether those transformations would be possible through Proof Of Concept (POC) for each server group. \n\n## Proof of Concept\n\nWe put together a checklist for our hardware engineering team to refer to as they completed the POC process so we could determine the constraints and requirements for each lot of servers. We had 24 POCs, each with its own step-by-step procedure and qualifications.\n\nWe did as many remote checks as possible, such as checking if there were DIMM slots available, which helped us understand what parts may be required for the physical checks and whether we needed new cables or a Host Bus Adapter (HBA).\n\nOnce we progressed to physical checks, we completed them in situ in data centers to see how the servers performed in a production environment. One of the items on the checklist was making sure the RAID card could be physically removed or we could do a “pass-through” that would bypass the RAID and allow access to the disks.\n\nWe then tested the writing and reading speed on all SATA modes (ATA, RAID…) to ensure the performance was as good as, if not better, than before. \n\nThe next step was checking disk compatibility and performance. We needed to ensure the performance respected our SATA, AHCI, and soft RAID mode threshold values. \n\nWe then performed a RAM upgrade and validated the performance. Of course, we ensured all different MHz possibilities were correctly detected and functional. The same thing was then done for the CPUs. And finally, we validated the firmware version for the different components (BIOS, BMC, etc.). \n\nOnce all those steps were completed, we installed different OS to ensure the servers were fully compatible and functional. Once they had gone through the POC checklist, the hardware engineering team would give a go or no-go for the retrofitting of each server group.\n\n## Unracking and retrofitting 14,000 servers\n\nOur 20+ years of hardware expertise helped us diagnose thousands of servers to determine the exact point of failure on every single server we had previously isolated. We then made an extensive list of the state of each server for our technicians. \n\nNext, we had to check that all servers were fully functional with (another) checklist that ensured everything from whether the server booted up to checking the global hardware condition via tasks. We also upgraded the firmware stack. \n\nOnce the data center team received the definitive list, they started to unrack the servers. Transferring 14,000 servers is a bit intense, so we hired a special team to unrack and move them at a pace of hundreds of servers per week. Special thanks go to our logistics team, who helped us move all those servers from one data center to another, which was an important step in this project.\n\n![Unracking the last server](https://www-uploads.scaleway.com/Marc_unracking_the_last_server_94b397ad1f.webp)\n\nWhen the servers arrived at DC5, our team of technicians performed the upgrades and reconditioned the servers based on the step-by-step procedure that the hardware engineering team had laid out during the qualification phase. \n\nUltimately, our teams successfully processed and retrofitted thousands of servers. \n\nThey reassembled and racked the servers, leaving just one more thing to do: deploy! Our Bare Metal team installed the tools needed for our Dedibox offers and put the servers online for client use. \n\n## Trying to get ahead of the worldwide chip shortage\n\nNot all servers qualified for the retrofit process, but we didn’t just throw them out. Servers that couldn’t reach the necessary performance levels were split into parts we will reuse for repair. We harvested as many parts as possible to build up a stock of spares. After all, these servers are relatively old and will need maintenance in the future.\n\nMaintaining servers is complicated. In some cases, manufacturers have stopped making the needed parts. Additionally, the pandemic has slowed down a lot of production, and there’s a worldwide shortage of electronic components to add to all that. It will only get more challenging to provide regular maintenance on old servers.\n\nBut the decision was still a no-brainer for us because we believe in sustainability. In the future, we will repeat this process when necessary. We will create new POCs to account for new servers and Scaleway product offers. \n\nIn the long run, these are investments that are good both for business and the environment. Resources needed to build new servers are not unlimited, and we’re proud to have developed a system to retrofit our old ones with minimal waste.\n\nWe can only hope that, in the future, servers will be designed to be more resilient by having generic parts that facilitate maintenance.\n","createdAt":"2023-03-02T21:18:45.726Z","updatedAt":"2023-05-05T09:58:22.239Z","publishedAt":"2023-03-03T10:53:02.486Z","locale":"en","tags":"Datacenter\nSustainability\nScaleway\nStory","popular":false,"articleOfTheMonth":false,"category":"Scale","timeToRead":7,"excerpt":"When we noticed some old servers had a high failure rate while performing well, we decided not to throw them out but to retrofit them - all 14,000 of them. Here's how.","author":"Marc Raynaud","h1":"Tripling the lifespan of servers: why we retrofitted 14,000 servers","createdOn":"2023-03-03","image":{"data":{"id":1927,"attributes":{"name":"Servers_Scaleway.webp","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Servers_Scaleway_a0ef106e8b.webp","hash":"large_Servers_Scaleway_a0ef106e8b","mime":"image/webp","name":"large_Servers_Scaleway.webp","path":null,"size":"314.94","width":1000,"height":618},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Servers_Scaleway_a0ef106e8b.webp","hash":"small_Servers_Scaleway_a0ef106e8b","mime":"image/webp","name":"small_Servers_Scaleway.webp","path":null,"size":"103.70","width":500,"height":309},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Servers_Scaleway_a0ef106e8b.webp","hash":"medium_Servers_Scaleway_a0ef106e8b","mime":"image/webp","name":"medium_Servers_Scaleway.webp","path":null,"size":"195.73","width":750,"height":464},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Servers_Scaleway_a0ef106e8b.webp","hash":"thumbnail_Servers_Scaleway_a0ef106e8b","mime":"image/webp","name":"thumbnail_Servers_Scaleway.webp","path":null,"size":"38.07","width":245,"height":152}},"hash":"Servers_Scaleway_a0ef106e8b","ext":".webp","mime":"image/webp","size":99.34,"url":"https://www-uploads.scaleway.com/Servers_Scaleway_a0ef106e8b.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-03-02T21:15:46.577Z","updatedAt":"2023-03-02T21:15:46.577Z"}}}},{"title":"Compute Roadmap 2023","path":"compute-roadmap-2023/","description":"This year, we will expand our Compute range to deliver you the best price-performance ratio on the market, enabling you to tackle even the most complex workloads easily. From powerful GPU Instances to new ARM-based processors, we're excited to share with you what we have in store. \n\n## Ampere Altra Instances: for curious minds\n\nWe are bringing back ARM Instances this year with AMP2! AMP2 are Virtual Machines based on Ampere's first ARM processor built for the cloud native, the Altra Max. This new 64-bit ARM processor is robust and powerful, with predictable performance and one of the best energy efficiencies on the market.\n\nAMP2 is being released by [Scaleway Labs](https://labs.scaleway.com), meaning we’re involving customers earlier in the development process than we usually do. For those willing to brave the unknown, early tester feedback will be critical in helping to shape our ARM strategy in the coming years. \n\nAMP2 is not meant for production, won’t benefit from traditional support level, and may not be suited for mission-critical workloads; however, if you’re as excited as we are to bring ARM back to the Scaleway ecosystem, we’d love to have you as an early tester. \n\n👉 [**Sign up for the AMP2 waiting list**](https://scaleway.typeform.com/to/WjHcBuIW)\n\n## H100 GPU Instances: for Artificial Intelligence \n\nThe NVIDIA® H100 GPU is purpose-built for AI training and inference, scientific computation, and data analytics applications. These instances are ideal for training, iterating, and going to production faster, unlocking new possibilities for your AI workloads. This product is a true game-changer in its own right, and for the Scaleway ecosystem it will unlock use cases with much larger datasets than have been previously available on our GPU products.\n\nThe H100 GPU Instances are built to handle the most demanding workloads, enabling customers to train, iterate, and go to production faster. The NVIDIA® H100 GPU is the most powerful GPUs available on the market today, and it is optimized for deep learning and AI workloads. With up to 80 GB of GPU memory, the H100 GPU Instances can efficiently process large datasets and run complex algorithms.\n\n100+ AI Startups have already started building on top of Scaleway’s ecosystem, and we think the H100 GPU Instances will be a great reason for hundreds more to come discover Scaleway. As AI is becoming a central part of our society's discussion and evolution, we are already looking forward to seeing what you will build on H100 GPU Instances. \n\n👉 [**Sign up for the H100GPU Instance waiting list**](https://scaleway.typeform.com/to/Bq5pnCNm)\n\n\n## The Workload-Optimized range: for High-Memory \u0026 High-Computing\n\nOur Workload-Optimized computing ranges are designed to streamline your workflows and optimize your performance. These more specialized alternatives of our Production-Optimized range come equipped with dedicated vCPUs and adjusted vCPU:RAM ratios, optimized for intensive workload applications:\n- High-Memory: For RAM-intensive usages, and high memory production applications, these machines provide more RAM than vCPU (8 GB per vCPU).\n- High-Computing: For compute-heavy workloads and applications, this machine focuses more on CPU than RAM (2 GB per vCPU)\n\n👉 [**Sign up for the Workload-Optimized range waiting list**](https://scaleway.typeform.com/to/wRefrqBR)\n\n## New ranges, sharper ranges\n\nWith the addition of these new incoming products, Scaleway supports several types of instances, each with its own set of resources, unique value propositions, and technical specifications:\n\n![Scaleway Compute Roadmap 2023](https://www-uploads.scaleway.com/Scaleway_Compute_Roadmap_2023_560edd7925.webp)\n\n\n**Learning**\nThe Instances from the [Learning](https://www.scaleway.com/en/docs/compute/instances/reference-content/learning/) range are perfect for small workloads and simple applications. They are built to host small internal applications, staging environments, or low-traffic web servers.\n\n**Cost-Optimized**\nThe [Cost-Optimized](https://www.scaleway.com/en/docs/compute/instances/reference-content/cost-optimized/) range balances compute, memory, and networking resources. They can be used for a wide range of workloads - scaling a development and testing environment, but also Content Management Systems (CMS) or microservices. They're also a good default choice if you need help determining which instance type is best for your application.\n\n**Production-Optimized**\nThe [Production-Optimized](https://www.scaleway.com/en/docs/compute/instances/reference-content/production-optimized/) range includes the highest consistent performance per core to support real-time applications, like Enterprise Instances. In addition, their computing power makes them generally more robust for compute-intensive workloads.\n\n**Workload-Optimized**\nExpanding the Production-Optimized range, the Worload-Optimized range will be launched in the near future and will provide the same highest consistent performance than the Production-Optimized instances But they will come with the added flexibility of additional vCPU:RAM ratio in order to perfectly fits to your application’s requirements without wasting any vCPU or GB of RAM ressources.\n\n## Created for Startups\n\nAs a hardware company, we’re excited to provide developers with a range of new options for running their workloads in the cloud. We’re committed to building the ideal backbone for European startups to scale sustainably.\n\nBut we’re first and foremost a software company.\n\nWe know that the tools and platforms you use to build your applications are as important as the underlying hardware. That’s why we’re also working to consistently improve our Serverless offering ([you can find our public roadmap here](https://www.scaleway.com/en/blog/1-year-anniversary-serverless-blog-post/)) and our managed Kubernetes products, Kapsule and Kosmos, to provide you with everything you need to build, deploy, and scale your applications. \n\nWe are building our products to cater to the infrastructure of the most ambitious startups: [come tell us what you are building on top of them](https://slack.scaleway.com)!\n","createdAt":"2023-02-28T14:47:45.471Z","updatedAt":"2023-03-15T20:17:01.662Z","publishedAt":"2023-03-01T07:44:15.227Z","locale":"en","tags":"News\nInstances\nCloud","popular":false,"articleOfTheMonth":false,"category":"Scale","timeToRead":5,"excerpt":"We will expand our Compute range: from powerful GPU instances to new ARM-based processors. We're excited to share with you what we have in store for 2023.","author":"Hana Khelifa","h1":"What's planned for Compute in 2023","createdOn":"2023-03-01","image":{"data":{"id":1916,"attributes":{"name":"Scaleway_Compute_Roadmap.webp","alternativeText":null,"caption":null,"width":1280,"height":720,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Scaleway_Compute_Roadmap_2b534e0935.webp","hash":"large_Scaleway_Compute_Roadmap_2b534e0935","mime":"image/webp","name":"large_Scaleway_Compute_Roadmap.webp","path":null,"size":"346.37","width":1000,"height":563},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Scaleway_Compute_Roadmap_2b534e0935.webp","hash":"small_Scaleway_Compute_Roadmap_2b534e0935","mime":"image/webp","name":"small_Scaleway_Compute_Roadmap.webp","path":null,"size":"94.55","width":500,"height":281},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Scaleway_Compute_Roadmap_2b534e0935.webp","hash":"medium_Scaleway_Compute_Roadmap_2b534e0935","mime":"image/webp","name":"medium_Scaleway_Compute_Roadmap.webp","path":null,"size":"199.01","width":750,"height":422},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Scaleway_Compute_Roadmap_2b534e0935.webp","hash":"thumbnail_Scaleway_Compute_Roadmap_2b534e0935","mime":"image/webp","name":"thumbnail_Scaleway_Compute_Roadmap.webp","path":null,"size":"29.95","width":245,"height":138}},"hash":"Scaleway_Compute_Roadmap_2b534e0935","ext":".webp","mime":"image/webp","size":123.52,"url":"https://www-uploads.scaleway.com/Scaleway_Compute_Roadmap_2b534e0935.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-02-28T14:47:09.155Z","updatedAt":"2023-02-28T14:47:39.074Z"}}}}],"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. From automation and monitoring to networking and security, discover open-source tools to help you navigate it all.","author":"Hana Khelifa","h1":"Top open-source Kubernetes management tools","createdOn":"2023-03-23","image":{"data":{"id":2016,"attributes":{"name":"Kubernetes blog1.webp","alternativeText":null,"caption":null,"width":1467,"height":949,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Kubernetes_blog1_3ee0090ed7.webp","hash":"large_Kubernetes_blog1_3ee0090ed7","mime":"image/webp","name":"large_Kubernetes blog1.png","path":null,"size":446.83,"width":1000,"height":647},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Kubernetes_blog1_3ee0090ed7.webp","hash":"small_Kubernetes_blog1_3ee0090ed7","mime":"image/webp","name":"small_Kubernetes blog1.png","path":null,"size":128.88,"width":500,"height":323},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Kubernetes_blog1_3ee0090ed7.webp","hash":"medium_Kubernetes_blog1_3ee0090ed7","mime":"image/webp","name":"medium_Kubernetes blog1.png","path":null,"size":255.79,"width":750,"height":485},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Kubernetes_blog1_3ee0090ed7.webp","hash":"thumbnail_Kubernetes_blog1_3ee0090ed7","mime":"image/webp","name":"thumbnail_Kubernetes blog1.webp","path":null,"size":"27.64","width":241,"height":156}},"hash":"Kubernetes_blog1_3ee0090ed7","ext":".webp","mime":"image/webp","size":83.95,"url":"https://www-uploads.scaleway.com/Kubernetes_blog1_3ee0090ed7.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-03-23T18:44:35.250Z","updatedAt":"2023-06-01T10:08:50.591Z"}}}},{"title":"1-year-anniversary-serverless-blog-post","path":"1-year-anniversary-serverless-blog-post/","description":"Today marks one year since Scaleway’s Serverless Functions and Containers entered General Availability. 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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