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Click to choose as filter." class="Tags_tags__UDbwl MonthArticleCard_tags__Mn8cy"><span class="Tag_tag__JS3kY">ai-PULSE</span><span class="Tag_tag__JS3kY">AI Action Summit</span></div></div><div class="MonthArticleCard_footer__DKvWU"><address class="blogAuthor"><a href="/en/blog/author/frederic-bardolle/">Frédéric Bardolle</a></address><span class="blogDot MonthArticleCard_dot__p_n_a" aria-hidden="true">•</span><div><time dateTime="2025-02-19">19/02/25</time><span class="blogDot" aria-hidden="true">•</span><span>4 min read</span></div></div></div></article></section><section><h2 class="font-heading-highlighted BlogHomepage_heading__DyvxL">Latest articles</h2><div class="PostsGrid_posts___KcIk"><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Sovereignty_European_Startup_Illustration_Blog_371d21359e.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Sovereignty_European_Startup_Illustration_Blog_371d21359e.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Sovereignty_European_Startup_Illustration_Blog_371d21359e.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Sovereignty_European_Startup_Illustration_Blog_371d21359e.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Sovereignty_European_Startup_Illustration_Blog_371d21359e.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Sovereignty_European_Startup_Illustration_Blog_371d21359e.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Sovereignty_European_Startup_Illustration_Blog_371d21359e.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Sovereignty_European_Startup_Illustration_Blog_371d21359e.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Sovereignty_European_Startup_Illustration_Blog_371d21359e.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/5-key-elements-for-europe-to-achieve-sovereign-ai/">5 Key elements for Europe to achieve Sovereign AI</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/build/">Build</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">AI sovereignty </span><span class="Tag_tag__JS3kY">Europe</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/salome-gonzalez/">Salomé Gonzalez</a></address><div><time dateTime="2025-02-14">14/02/25</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/Documentation_Dev_API_Illustration_Blog_9121e48399.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Documentation_Dev_API_Illustration_Blog_9121e48399.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Documentation_Dev_API_Illustration_Blog_9121e48399.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Documentation_Dev_API_Illustration_Blog_9121e48399.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Documentation_Dev_API_Illustration_Blog_9121e48399.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Documentation_Dev_API_Illustration_Blog_9121e48399.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Documentation_Dev_API_Illustration_Blog_9121e48399.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Documentation_Dev_API_Illustration_Blog_9121e48399.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Documentation_Dev_API_Illustration_Blog_9121e48399.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/what-is-a-document-database-a-comprehensive-guide/">What Is a Document Database? A Comprehensive Guide</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/build/">Build</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Managed MongoDB</span><span class="Tag_tag__JS3kY">Document</span><span class="Tag_tag__JS3kY">Database</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/nevine-ismael-et-walter-timmermans/">Névine Ismael et Walter Timmermans</a></address><div><time dateTime="2025-02-12">12/02/25</time><span class="blogDot" aria-hidden="true">•</span><span>3 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/anticipating-cyberthreats-the-winning-duo-of-waf-and-caching/">Anticipating Cyberthreats: The Winning Duo of WAF and Caching </a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/build/">Build</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Cybersecurity</span><span class="Tag_tag__JS3kY">Waf</span><span class="Tag_tag__JS3kY">Caching</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/alexis-sengsay-et-william-paumier/">Alexis Sengsay et William Paumier</a></address><div><time dateTime="2025-01-30">30/01/25</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/next_js_migration_4127d7f2f0.png 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/next_js_migration_4127d7f2f0.png 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/next_js_migration_4127d7f2f0.png 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/next_js_migration_4127d7f2f0.png 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/next_js_migration_4127d7f2f0.png 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/next_js_migration_4127d7f2f0.png 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/next_js_migration_4127d7f2f0.png 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/next_js_migration_4127d7f2f0.png 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/next_js_migration_4127d7f2f0.png"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/scalewaycom-redesign-nextjs-typescript-scss-modules/">Scaleway.com redesign: Next.js, TypeScript, (S)CSS Modules</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">Gatsby</span><span class="Tag_tag__JS3kY">NextJS</span><span class="Tag_tag__JS3kY">Front-web</span><span class="Tag_tag__JS3kY">Migration</span><span class="Tag_tag__JS3kY">Website</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/team-frontweb/">Team FrontWeb</a></address><div><time dateTime="2025-01-21">21/01/25</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/AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/smart-proven-contracts/">Smart-proven contracts</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/build/">Build</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">smart contract </span><span class="Tag_tag__JS3kY">blockchains</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/valentin-macheret/">Valentin Macheret</a></address><div><time dateTime="2025-01-07">07/01/25</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/Object_Storage_CORS_Illustration_1280x720_6015ee750d.png 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Object_Storage_CORS_Illustration_1280x720_6015ee750d.png 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Object_Storage_CORS_Illustration_1280x720_6015ee750d.png 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Object_Storage_CORS_Illustration_1280x720_6015ee750d.png 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Object_Storage_CORS_Illustration_1280x720_6015ee750d.png 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Object_Storage_CORS_Illustration_1280x720_6015ee750d.png 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Object_Storage_CORS_Illustration_1280x720_6015ee750d.png 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Object_Storage_CORS_Illustration_1280x720_6015ee750d.png 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Object_Storage_CORS_Illustration_1280x720_6015ee750d.png"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/the-fundamentals-of-anti-ddos-protection/">The fundamentals of anti-DDoS protection</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/build/">Build</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">DDoS</span><span class="Tag_tag__JS3kY">Dedibox</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/luiza-del-giudice-de-carvalho/">Luiza del Giúdice de Carvalho</a></address><div><time dateTime="2024-12-30">30/12/24</time><span class="blogDot" aria-hidden="true">•</span><span>5 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Machine_Learning_Not_Product_Illustration_Blog_ff08084885.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Machine_Learning_Not_Product_Illustration_Blog_ff08084885.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Machine_Learning_Not_Product_Illustration_Blog_ff08084885.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Machine_Learning_Not_Product_Illustration_Blog_ff08084885.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Machine_Learning_Not_Product_Illustration_Blog_ff08084885.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Machine_Learning_Not_Product_Illustration_Blog_ff08084885.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Machine_Learning_Not_Product_Illustration_Blog_ff08084885.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Machine_Learning_Not_Product_Illustration_Blog_ff08084885.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Machine_Learning_Not_Product_Illustration_Blog_ff08084885.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/distributed-ml-model-inference/">Distributed ML model inference</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/deploy/">Deploy</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Large Language Models</span><span class="Tag_tag__JS3kY">Machine Learning</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/valentin-macheret/">Valentin Macheret</a></address><div><time dateTime="2024-12-19">19/12/24</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/Multicloud_Startups_Illustration_1280x720_e44ca04be0.png 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Multicloud_Startups_Illustration_1280x720_e44ca04be0.png 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Multicloud_Startups_Illustration_1280x720_e44ca04be0.png 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Multicloud_Startups_Illustration_1280x720_e44ca04be0.png 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Multicloud_Startups_Illustration_1280x720_e44ca04be0.png 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Multicloud_Startups_Illustration_1280x720_e44ca04be0.png 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Multicloud_Startups_Illustration_1280x720_e44ca04be0.png 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Multicloud_Startups_Illustration_1280x720_e44ca04be0.png 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Multicloud_Startups_Illustration_1280x720_e44ca04be0.png"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/cracking-the-code-how-startups-can-overcome-their-biggest-cloud-challenge/">Cracking the code: how Startups can overcome their biggest cloud challenges</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/build/">Build</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Startups</span><span class="Tag_tag__JS3kY">Sovereignty </span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/salome-gonzalez/">Salomé Gonzalez</a></address><div><time dateTime="2024-12-18">18/12/24</time><span class="blogDot" aria-hidden="true">•</span><span>6 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp"/></div><div class="ArticleCard_contentContainer__WjTiq"><div class="ArticleCard_content__SQ9Aj"><h2 class="font-heading-title blogArticleTitle ArticleCard_heading__G9xUc"><a class="breakout-link" href="/en/blog/how-golemai-reduces-cloud-costs-by-managing-docker-images-stored-on-kapsule-nodes/">How Golem.ai reduces cloud costs by managing Docker images stored on Kapsule nodes</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/deploy/">Deploy</a></div><div aria-label="Tags list. Click to choose as filter." class="Tags_tags__UDbwl ArticleCard_tags__u6zr9"><span class="Tag_tag__JS3kY">Kapsule </span><span class="Tag_tag__JS3kY">Kubernetes </span><span class="Tag_tag__JS3kY">Docker</span></div></div><div class="ArticleCard_footer__LyyE1"><address class="blogAuthor"><a href="/en/blog/author/kevin-baude-aleksandra-stanczak/">Kevin Baude, Aleksandra Stanczak</a></address><div><time dateTime="2024-12-05">05/12/24</time><span class="blogDot" aria-hidden="true">•</span><span>8 min read</span></div></div></div></article><article class="ArticleCard_articleCard__91jgG"><div class="blogImage ArticleCard_img__SYe4N"><img alt="" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="https://scaleway.com/cdn-cgi/image/width=640/https://www-uploads.scaleway.com/Retail_Ecommerce_Illustration_1920_X1080_432585c587.webp 640w, https://scaleway.com/cdn-cgi/image/width=750/https://www-uploads.scaleway.com/Retail_Ecommerce_Illustration_1920_X1080_432585c587.webp 750w, https://scaleway.com/cdn-cgi/image/width=828/https://www-uploads.scaleway.com/Retail_Ecommerce_Illustration_1920_X1080_432585c587.webp 828w, https://scaleway.com/cdn-cgi/image/width=1080/https://www-uploads.scaleway.com/Retail_Ecommerce_Illustration_1920_X1080_432585c587.webp 1080w, https://scaleway.com/cdn-cgi/image/width=1200/https://www-uploads.scaleway.com/Retail_Ecommerce_Illustration_1920_X1080_432585c587.webp 1200w, https://scaleway.com/cdn-cgi/image/width=1920/https://www-uploads.scaleway.com/Retail_Ecommerce_Illustration_1920_X1080_432585c587.webp 1920w, https://scaleway.com/cdn-cgi/image/width=2048/https://www-uploads.scaleway.com/Retail_Ecommerce_Illustration_1920_X1080_432585c587.webp 2048w, https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Retail_Ecommerce_Illustration_1920_X1080_432585c587.webp 3840w" src="https://scaleway.com/cdn-cgi/image/width=3840/https://www-uploads.scaleway.com/Retail_Ecommerce_Illustration_1920_X1080_432585c587.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-cloud-and-retail-navigating-the-new-mach-era/">The Cloud & Retail: Navigating the new MACH Era</a></h2><div class="blogCategory ArticleCard_category__lf8S7"><a href="/en/blog/build/">Build</a></div><div aria-label="Tags list. 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Fast forward to last week’s AI Action Summit, and we saw it all play out in real time.\n \n## Big: Scaling Up for the AI Era\n\nAI needs infrastructure. That’s not news to us at Scaleway, but it’s now a message backed by serious commitments. French President Emmanuel Macron announced a €109 billion investment to reinforce Europe’s AI capabilities.\n\nWe’re doing our part. The iliad Group announced a massive [€3 billion investment](https://www.iliad.fr/en/actualites/article/the-iliad-group-is-investing-3-billion-in-ai) to build out the future of AI infrastructure. Our goal is to make sure Europe has the compute power to compete at the highest level. Because you need to reach a critical size to succeed in AI.\n\n\n\nScaleway was the first European cloud provider to invest in [GPU clusters](https://www.scaleway.com/en/custom-built-clusters/) back in 2023. That early move paid off: we still have one of the biggest pools in Europe and some of the best models today were trained on our infrastructure. But being first isn’t always easy. Staying ahead means constant innovation, and we’re working hard to ensure our compute, network, and storage remain fast, reliable, and built for the future.\n\nWe’re not stopping here. Our 2025 roadmap is ambitious: we want to make access to large-scale compute easier than ever. AI’s future depends on [solid infrastructure](https://www.scaleway.com/en/cluster-on-demand/), and we’re building it.\n\n## Efficient: Doing More with Less\n\nEven before the AI Action Summit, DeepSeek stole the show by proving that AI can be smarter, not just bigger. And at the summit itself, Kyutai showed why efficiency matters. Their [Hibiki model](https://kyutai.org/2025/02/10/hibiki.html) is a voice-to-voice AI translation system that can run directly on a smartphone. It is a perfect example of what happens when a team of smart people focuses on efficiency.\n\nIndeed, raw power isn’t everything. If we were in Asimov’s Foundation series, Europe wouldn’t be the Empire flexing its might. We’d be the Foundation, outthinking the competition. In complex systems, smart always beats big.\n\nAnd let’s be real: Europe isn’t ignoring the climate crisis. Growth needs to be smart. France has one of the cleanest energy mixes in the world, thanks to nuclear power. That means AI models trained on French infrastructure have a lower carbon footprint than most alternatives.\n\n\n\nAt Scaleway, we don’t just talk about efficiency. We track it. That’s why we launched the first version of our [Environmental Footprint Calculator](https://www.scaleway.com/en/environmental-footprint-calculator/). In 2025, we’ll keep expanding it, giving users clearer insights into the impact of the technology they use. Knowing your footprint matters. It helps you make smarter choices.\n\n## Open: AI in an Uncertain World\n\nThe AI Action Summit also made one thing clear: we live in unpredictable times. Yesterday’s allies might not be tomorrow’s. That’s why openness matters more than ever.\n\nOpen source is our best safeguard against uncertainty. It lets you control your future. And it also keeps innovation accessible to all. Because open source is about giving back. India’s role as co-chair of the summit reminds us that AI shouldn’t just serve a select few. It should benefit everyone, everywhere.\n\nFor Scaleway, open source is the best way to keep our clients in control, not locked in. We believe in giving choices and alternatives. That’s why, when we built our Generative APIs, we set ourselves a strict rule: make it compatible with OpenAI’s API. The result? Anyone can switch to the [open-weight models](https://www.scaleway.com/en/generative-apis/) we provide by changing a single line of code.\n\n\n\nOpen source isn’t going anywhere. Thanks to the battle for talent, state-of-the-art open-weight models will keep emerging in 2025. The best contributors don’t want to build behind closed doors. They want to share their work with the world. They want to be on the right side of history, as [Sam Altman](https://www.vice.com/en/article/openai-ceo-sam-altman-says-theyve-been-on-the-wrong-side-of-history/) would say.\n\nAt Scaleway, we’re all in. We’ll keep deploying the latest and greatest open-weight models, ensuring that you stay in control.\n\n## 2025: The AI Playbook Remains the Same \n\nBig. Efficient. Open. If the AI Action Summit confirmed anything, it’s that these three principles will continue to define AI in 2025.\n\nWant to see what’s next? Mark your calendar for November 18th, because [ai-PULSE](https://www.ai-pulse.eu) will be back. And we’re just getting started.\n","createdAt":"2025-02-19T13:21:36.061Z","updatedAt":"2025-02-21T08:56:29.450Z","publishedAt":"2025-02-19T16:12:41.378Z","locale":"en","tags":"ai-PULSE\nAI Action Summit\n","popular":true,"articleOfTheMonth":true,"category":"Build","timeToRead":4,"excerpt":"Last week's AI Action Summit highlighted key principles shaping the future of AI: Big, Efficient, and Open. Read the full article for an inside look at the event and insights about it.","author":"Frédéric Bardolle","h1":"Big, Efficient, Open: The AI Future We Saw Coming","createdOn":"2025-02-19","image":{"data":{"id":4355,"attributes":{"name":"slack-imgs.jpg","alternativeText":null,"caption":null,"width":720,"height":480,"formats":{"small":{"ext":".jpg","url":"https://www-uploads.scaleway.com/small_slack_imgs_eb15652f7e.jpg","hash":"small_slack_imgs_eb15652f7e","mime":"image/jpeg","name":"small_slack-imgs.jpg","path":null,"size":46.06,"width":500,"height":333,"sizeInBytes":46063},"thumbnail":{"ext":".jpg","url":"https://www-uploads.scaleway.com/thumbnail_slack_imgs_eb15652f7e.jpg","hash":"thumbnail_slack_imgs_eb15652f7e","mime":"image/jpeg","name":"thumbnail_slack-imgs.jpg","path":null,"size":12.15,"width":234,"height":156,"sizeInBytes":12151}},"hash":"slack_imgs_eb15652f7e","ext":".jpg","mime":"image/jpeg","size":82.37,"url":"https://www-uploads.scaleway.com/slack_imgs_eb15652f7e.jpg","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2025-02-20T15:28:22.024Z","updatedAt":"2025-02-20T15:28:22.024Z"}}}},"posts":[{"title":"5 Key elements for Europe to achieve Sovereign AI","path":"5-key-elements-for-europe-to-achieve-sovereign-ai/","description":"Just a few months ago, we might have feared that Europe would definitely lose the pace to the American and Chinese giants of artificial intelligence (AI). But recent trends prove otherwise. The rise of **Mistral AI**, which raised **385 million euros in less than a year** to develop sovereign models, shows that a European champion can emerge. This momentum was reinforced by the **AI Action Summit**, where Europe unveiled **InvestAI**, an ambitious initiative set to mobilize **200 billion euros** for artificial intelligence.\n\nAt the heart of these efforts lies **technological sovereignty in AI**—the ability of nations to develop, control, and integrate AI technologies within their own ecosystems. More than just an aspiration, sovereignty in AI is becoming a necessity as countries seek to harness its transformative power while safeguarding their autonomy. The **World Trade Organization** underscores AI's economic impact, estimating that _\"near universal adoption of AI... could increase trade by up to 14 percentage points\"_ from its current trend.\n\nWith the AI market estimated to exceed **$1,500 billion by 2030**, technological sovereignty is becoming a major strategic issue. As the US invests in massive plans like Stargate, can Europe leverage its recent momentum to establish true leadership? This article outlines **five key considerations** for achieving and maintaining AI sovereignty.\n\n## 1. Robust Digital Infrastructure\n\nThis includes state-of-the-art data centers equipped with high-performance computing clusters and AI accelerators. But beyond raw computing power, **control over specialized processors**—such as **GPUs** and **ASICs**—is crucial to ensuring uninterrupted AI development and deployment. In this context, [Scaleway](https://www.scaleway.com/en/) is taking a decisive step forward, offering a high-performance, alternative with **5,000 latest-generation GPU**s tailored to local needs. \n\nAdditionally, developing independent cloud platforms optimized for AI workloads can provide the necessary computational power while maintaining data control. Investment in training and research is also key to attracting talent and strengthening this dynamic ecosystem. Initiatives such as [Hugging Face](https://huggingface.co) and [Mistral AI](https://mistral.ai/en) demonstrate that it is possible to develop successful models in Europe. \n\n## 2. Technological Independence\n\nEurope has a strong track record of innovation, as evidenced by **Airbus** and the **Ariane space program**. AI must now be met with the same level of ambition, requiring a concerted effort **between public and private players** to build an integrated ecosystem. Beyond physical infrastructure, sovereignty in AI also depends on the ability to develop, customize, and control AI technologies. This means investing in domestic research institutions to foster innovation and secure a steady pipeline of talent and intellectual property.\n\nYet, while **R\u0026D investment is booming in the US and Asia**, the European Union struggles with fragmented initiatives. However, Europe holds key advantages: a pioneering regulatory framework with the **AI Act**, **world-class research expertise**, and **strong political will**. Another crucial asset is its diverse and extensive data landscape, which, when leveraged effectively, can improve model training and fine-tuning. Ensuring that AI systems align with national interests and values will be essential to shaping a truly sovereign AI ecosystem.\n\n## 3. AI \u0026 Industrial Policy in Europe\n\nWe're often sold the idea that regulation holds back innovation, especially in Europe. A convenient myth, especially for digital giants who prefer to play without referees. But in reality, there is no such thing as a market without rules - just different rules for different regions.\n\nRather than opposing innovation and regulation, **we can move them forward together**, with clear rules that encourage models aligned with fundamental rights, fair competition, respect for privacy. Implementing data residency policies helps **protect sensitive information** and aligns with national data protection regulations. Cleared cloud operations and support, along with facility ownership, will contribute to maintaining control over data access and usage. Data isolation measures further ensure that data is not inadvertently shared or exposed to unauthorized entities.\n\nForming sovereign legal entities can facilitate the enforcement of these regulations and provide a framework for addressing legal challenges arising from AI technologies. Clear guidelines help ensure that AI systems operate within the bounds of national laws and respect citizens' rights. \n\n## 4. Horizontal and vertical concentration of power\n\nThe AI value chain, made up of techniques, functions and applications (TFA model), reveals profound structural weaknesses. In terms of patents, for example, **European companies produce three times fewer innovations** than their American counterparts. \n\nHowever, analysis of a sample of the European AI market shows that **early- and growth-stage sources of capital in the European AI market are more variegated** than in the United State. EU companies are also trying to manage their dependence on hyperscalers. Instead of leaning heavily on **Microsoft**, **Google**, and **Amazon**, such companies are instead opting for a mix of public and private computing resources; **a multicloud strategy**.\n\n\n\nAlthough AI industrial policy is still in its infancy, a number of initiatives are beginning to outline the contours of a more assertive strategy. The **European Commission's** **€2 billion innovation plan** at the **Ai Action Summit** and **the European Chips Act** recommendations on investment and regulation testify to a clear desire to accelerate the adoption of AI in strategic industrial sectors and public services, while consolidating national and regional ecosystems. It remains to be seen whether these measures, still fragmented, will be able to be articulated into a coherent and impactful policy on a European scale.\n\n## 5. Generative API made in Europe\n\nImplementing AI applications in a self-determined and secure way with operating model ensures that you know who is involved in your AI system and have control over operations and data in a legally safe environment. Don't forget that every piece of information you share with a language model (**LLM**) enables it to position itself and learn. This is precisely why Scaleway develops its own generative APIs. By running [Generative APIs](https://www.scaleway.com/en/generative-apis/) on a sovereign AI cloud your data stays in Europe, fully compliant with local regulations. Choosing a sovereign cloud with a necessary catalog enables you to use this AI. Combining computing power, storage and interoperability. \n\n\nIn conclusion, achieving AI sovereignty requires a multifaceted approach that encompasses **robust infrastructure, technological independence, stringent data policies, comprehensive legal frameworks, and in-house expertise**. Over the past two decades, the **productivity gap between the United States and Europe has widened**, mainly due to the slow spread of digital technologies. However, by focusing on these key areas encouraging the emergence of local players and fostering cooperation between startups, companies and institutions, Europe can compete with the greatest technological powers. \n\n**Source :**\n\n**UK Statement at WTO AI Conference.** [UK Government](https://www.gov.uk/government/speeches/uk-statement-at-wto-ai-conference#:~:text=The%20World%20Economic%20Forum%20has,if%20we%20adopt%20AI%20universally.)\n**French AI startup Mistral AI raises €385M.** [The Economic Times](https://economictimes.indiatimes.com/tech/technology/french-ai-startup-mistral-ai-raises-385-million-euros/articleshow/105887393.cms?from=mdr) \n**Artificial Intelligence Market Outlook (Worldwide).** [Statista](https://www.statista.com/outlook/tmo/artificial-intelligence/worldwide)\n**U.S. and Global Research and Development.** [National Science Foundation](https://ncses.nsf.gov/pubs/nsb20221/u-s-and-global-research-and-development)\n**Press Release – European Commission.** [European Commission](https://ec.europa.eu/commission/presscorner/detail/en/ip_25_467)","createdAt":"2025-02-12T15:22:46.410Z","updatedAt":"2025-02-19T16:20:03.286Z","publishedAt":"2025-02-13T09:10:12.930Z","locale":"en","tags":"AI sovereignty \nEurope","popular":false,"articleOfTheMonth":false,"category":"Build","timeToRead":5,"excerpt":"Europe, once a technological leader, is now struggling to keep up with the US and Chinese giants. Here are five considerations for achieving AI sovereignty.","author":"Salomé Gonzalez","h1":"5 Key elements for Europe to achieve Sovereign AI","createdOn":"2025-02-14","image":{"data":{"id":1740,"attributes":{"name":"Sovereignty-EuropeanStartup-Illustration-Blog.webp","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Sovereignty_European_Startup_Illustration_Blog_371d21359e.webp","hash":"large_Sovereignty_European_Startup_Illustration_Blog_371d21359e","mime":"image/webp","name":"large_Sovereignty-EuropeanStartup-Illustration-Blog.webp","path":null,"size":"317.90","width":1000,"height":618},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Sovereignty_European_Startup_Illustration_Blog_371d21359e.webp","hash":"small_Sovereignty_European_Startup_Illustration_Blog_371d21359e","mime":"image/webp","name":"small_Sovereignty-EuropeanStartup-Illustration-Blog.webp","path":null,"size":"123.74","width":500,"height":309},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Sovereignty_European_Startup_Illustration_Blog_371d21359e.webp","hash":"medium_Sovereignty_European_Startup_Illustration_Blog_371d21359e","mime":"image/webp","name":"medium_Sovereignty-EuropeanStartup-Illustration-Blog.webp","path":null,"size":"218.93","width":750,"height":464},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Sovereignty_European_Startup_Illustration_Blog_371d21359e.webp","hash":"thumbnail_Sovereignty_European_Startup_Illustration_Blog_371d21359e","mime":"image/webp","name":"thumbnail_Sovereignty-EuropeanStartup-Illustration-Blog.webp","path":null,"size":"43.32","width":245,"height":152}},"hash":"Sovereignty_European_Startup_Illustration_Blog_371d21359e","ext":".webp","mime":"image/webp","size":411.81,"url":"https://www-uploads.scaleway.com/Sovereignty_European_Startup_Illustration_Blog_371d21359e.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-01-19T11:38:35.103Z","updatedAt":"2023-01-19T11:38:35.103Z"}}}},{"title":"What Is a Document Database? A Comprehensive Guide","path":"what-is-a-document-database-a-comprehensive-guide/","description":"The ever-changing landscape of data management has given rise to a new era of database technology. Document databases in particular were designed to better handle the vast amounts of semi-structured and unstructured data generated by modern products and applications and to keep pace with the growing volume and variety of data that demands flexible, scalable, and fast processing.\n\nIn this article, we’ll dive into what document databases are, how they work, and why they’ve become a preferred solution for managing complex data, offering flexibility that traditional databases struggle to provide.\n\n## A brief history of databases: from relational to document databases\n\nRelational databases, the backbone of data storage since the 1970s, were designed for structured data. Built on a fixed schema, they efficiently organize data into rows and columns, enabling easy querying and analysis. However, as the types of data businesses generate have evolved—think images, videos, and IoT data—so too have the demands placed on databases. \n\nThe rise of NoSQL databases in the early 2000s offered a solution to these new demands by providing flexible, schema-less architectures capable of storing vast amounts of unstructured data. Among these NoSQL options, document databases have emerged as a versatile tool that can adapt to the complexity and scale of modern data workloads.\n\n### Back to basics: what is a document database?\n\nA document database is a type of NoSQL database that stores data in document-like structures, most commonly using JSON or BSON formats. Each document represents a record, and within these documents, data is organized as key-value pairs, with the ability to nest arrays and objects. \n\nThe beauty of document databases lies in their flexibility. Unlike relational databases, which require data to fit into predefined schemas, document databases allow data to be stored in its original, often messy form. This makes them ideal for managing unstructured or semi-structured data **without requiring significant reformatting or processing**.\n\n## Structured vs. unstructured data\n\nData generally falls into two categories: structured and unstructured.\n\n- **Structured data** fits neatly into predefined formats, such as spreadsheets or relational databases\n- **Unstructured data**, on the other hand, doesn’t conform to a specific model. Examples include images, audio files, videos, and social media posts—types of data that relational databases struggle to handle efficiently.\n\nDocument databases bridge this gap by offering a flexible schema. This means you can store various types of data—whether structured, semi-structured, or unstructured—in their natural form, without having to alter or standardize them.\n\n## How document databases work\n\nIn a document database, each document is self-contained, meaning the structure of one document can differ significantly from the next. These databases are highly adaptable because they allow changes to be made on the fly, without the need for complex schema migrations.\n\n- **Flexible schema**: new fields can be added to documents at any time, providing agility in development and reducing the operational burden.\n- **Variety of formats**: multiple data formats can be stored **within the same collection**, enabling you to manage diverse data types together.\n\nThis architecture makes document databases** highly scalable** and** easy to maintain**, especially in applications where data is continuously changing or evolving.\n\n## Benefits of document databases\n\n**Reduced operational overhead**\nTraditional relational databases often require extensive data transformation to fit structured schemas, which can be labor-intensive and time-consuming. Document databases eliminate much of this overhead by allowing data to be stored in its original format, cutting down on reformatting efforts and freeing up resources to focus on more valuable tasks.\n\n**Improved agility**\nDocument databases’ flexible schema design enables rapid iterations and updates without the need for complex schema alterations. This allows teams to ship new features faster and adjust data models as business needs evolve, fostering greater agility in product development.\n\n**Performance**\nWhen it comes to performance, document databases have a distinct advantage in handling hierarchical data. By storing all relevant information within a single document, these databases are able to retrieve and manipulate data with greater efficiency. In contrast, relational databases often require the use of joins to gather related data, resulting in increased read and write latency. This fundamental difference in architecture enables document databases to deliver faster and more responsive performance, making them an attractive choice for applications that rely on complex, hierarchical data structures.\n\n## Use cases: when to choose a document database\n\nDocument databases are best suited in scenarios where data is **unpredictable, unstructured**, or **subject to rapid change**. Here are some common use cases where document databases are the better option:\n\n**Internet of Things (IoT)**\nIoT devices produce a continuous stream of data, often in different formats. Document databases can store this data as-is, enabling real-time processing and analysis without the need for data standardization.\n\n\n**Content Management Systems**\nData is often semi-structured and constantly evolving. By storing content, metadata, and related information in a single document, CMS platforms can efficiently manage and retrieve complex data sets, such as articles, blogs, and user profiles. This flexible data model enables developers to adapt to changing content requirements, while also providing fast and scalable performance, making it an ideal choice for large-scale content management applications.\n\n**E-commerce product catalogs**\nDocument databases allow for efficient storage and retrieval of complex product information, including descriptions, pricing, inventory, and customer reviews. By storing all product data in a single document, e-commerce platforms can quickly retrieve and update product information, reducing latency and improving the overall shopping experience. Additionally, document databases can handle large volumes of product data, making them an ideal choice for large-scale e-commerce applications with extensive product catalogs.\n\n**Mobile and web applications**\nThey often require flexible data models to accommodate changing user behavior, new features, and evolving business requirements. Document databases are well-suited for these applications, allowing developers to store and manage complex, semi-structured data in a flexible and adaptable way. By using a document database, developers can quickly iterate and refine their data models, adding new fields, documents, or collections as needed, without the need for costly and time-consuming schema changes, making it an ideal choice for agile development teams and fast-paced application development environments.\n\n## Relational vs. non-relational: how to choose the right database for your needs\n\nWhen evaluating database options, the primary consideration is often the specific needs of the application or use case. For applications where data consistency and integrity are paramount, and complex querying and reporting are essential, relational databases are the preferred choice. Their robust support for transactions, constraints, and joins ensures that data remains accurate and reliable, making them well-suited for applications that require strict data governance and compliance.\n\nOn the other hand, document databases are the ideal choice for applications that require flexibility, speed, and the ability to handle unstructured or semi-structured data. Their flexible schema and high-performance data retrieval capabilities make them perfect for building lightning-fast applications that require rapid data ingestion and processing. Additionally, document databases can efficiently handle large volumes of unstructured data, such as text, images, and videos, making them a popular choice for big data and real-time analytics applications.\n\n**Document databases for the modern data landscape**\n\nDocument databases offer a powerful, flexible solution for managing today’s data complexities. By allowing you to store unstructured and semi-structured data in its natural form, they eliminate the need for time-consuming data reformatting, reduce operational overhead, and increase agility in development.\n\nIf your organization is grappling with the challenges of handling growing data volumes, adopting a document database could be the key to unlocking more efficient data management and faster innovation. \n\nLearn more about our [Managed MongoDB®](https://www.scaleway.com/en/managed-mongodb/) database to discover how it can help streamline your data processes, cut costs, and accelerate your business growth.","createdAt":"2025-02-12T09:23:43.712Z","updatedAt":"2025-02-19T16:21:01.797Z","publishedAt":"2025-02-12T09:32:11.606Z","locale":"en","tags":"Managed MongoDB\nDocument\nDatabase","popular":true,"articleOfTheMonth":false,"category":"Build","timeToRead":3,"excerpt":"Discover the power of document databases, their benefits and use cases, in managing complex, semi-structured, and unstructured data. ","author":"Névine Ismael et Walter Timmermans","h1":"What Is a Document Database? A Comprehensive Guide","createdOn":"2025-02-12","image":{"data":{"id":1517,"attributes":{"name":"Documentation-DevAPI-Illustration-Blog.webp","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Documentation_Dev_API_Illustration_Blog_9121e48399.webp","hash":"large_Documentation_Dev_API_Illustration_Blog_9121e48399","mime":"image/webp","name":"large_Documentation-DevAPI-Illustration-Blog.webp","path":null,"size":"314.98","width":1000,"height":618},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Documentation_Dev_API_Illustration_Blog_9121e48399.webp","hash":"small_Documentation_Dev_API_Illustration_Blog_9121e48399","mime":"image/webp","name":"small_Documentation-DevAPI-Illustration-Blog.webp","path":null,"size":"111.41","width":500,"height":309},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Documentation_Dev_API_Illustration_Blog_9121e48399.webp","hash":"medium_Documentation_Dev_API_Illustration_Blog_9121e48399","mime":"image/webp","name":"medium_Documentation-DevAPI-Illustration-Blog.webp","path":null,"size":"208.66","width":750,"height":464},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Documentation_Dev_API_Illustration_Blog_9121e48399.webp","hash":"thumbnail_Documentation_Dev_API_Illustration_Blog_9121e48399","mime":"image/webp","name":"thumbnail_Documentation-DevAPI-Illustration-Blog.webp","path":null,"size":"37.40","width":245,"height":152}},"hash":"Documentation_Dev_API_Illustration_Blog_9121e48399","ext":".webp","mime":"image/webp","size":424.2,"url":"https://www-uploads.scaleway.com/Documentation_Dev_API_Illustration_Blog_9121e48399.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-01-17T12:35:20.509Z","updatedAt":"2023-01-17T12:35:20.509Z"}}}},{"title":"Anticipating Cyberthreats: The Winning Duo of WAF and Caching ","path":"anticipating-cyberthreats-the-winning-duo-of-waf-and-caching/","description":"# Europe's cyberattack landscape in 2024\n\nIn 2024, Europe saw an explosion in cyberattacks targeting web applications and information systems. According to ENISA (_European Union Agency for Cybersecurity_), the most frequent attacks concerned service availability (DDoS attacks), ransomware and breaches of sensitive data. This upsurge is all the more worrying as cybercriminals are massively targeting small and medium-sized enterprises (SMEs), which are often less prepared for these threats.\n\n## Companies most affected\n\nThe Hiscox 2024 report reveals that **67% of European companies** have suffered at least one cyber attack this year, with a marked increase in attacks against SMEs and very small businesses (VSEs). These structures often have limited resources to defend themselves, making them more vulnerable to cybercriminals.\n\n## Compliance challenges in Europe\n\nFaced with this intensification of threats, the European Union has strengthened its regulatory arsenal. The **NIS2** directive, which came into force in 2024, now imposes strict security and incident reporting obligations on businesses and digital service providers. The **Cyber Resilience Act** also reinforces companies' responsibility to secure their digital products and services.\n\n## Secure and optimize with WAF and Caching\n\nTo meet these challenges, two complementary solutions exist: Web Application Firewall (WAF) and Caching via its Edge services. These tools protect web applications against cyber-attacks, while enhancing their performance. \n\n# Web Application Firewall (WAF) : One of the first line of defense\n\nWAF acts as a shield between users and web applications. It filters and monitors HTTP/HTTPS traffic to block attacks such as: SQL injections (SQLi), cross-site scripting (XSS).\n\nWAFs offer sensitivity levels, also known as “paranoia levels”. Think of it as a slider that you can adjust according to the level of vigilance you wish to apply to the protection of your web application.\n\n- Level 1: Ideal for a relaxed approach, this level lets more traffic through while blocking obvious attacks. It's perfect if you want to avoid false positives (situations where legitimate requests are blocked by mistake).\n- Level 2: A good compromise between vigilance and flexibility. It filters out common threats while allowing the majority of legitimate interactions to pass through unhindered.\n- Level 3: Here, the WAF becomes much stricter, blocking anything that might resemble a threat, even indirectly. It's the right level for sensitive environments where security is more important than permissiveness.\n- Level 4: This level is designed for ultra-sensitive applications, such as those in the banking or healthcare sectors. The WAF scrutinizes every request with extreme care, letting nothing through that could represent even the slightest potential threat.\n\nWith these sensitivity levels, WAF easily adapts to your needs, whether you want to maintain a smooth user experience or completely lock down your web application against threats.\n\nWAF also offers : \n\n- Flexible modes, including log only to check the impact WAF may have on traffic before going into production.\n- Exclusion rules\n- As a monitoring tool, companies benefit from real-time visibility of their security. \n\nCoping with the most common attacks\n\nFaced with constantly evolving cyber threats, companies today need not only to optimize the performance of their applications, but also to protect them against the most sophisticated attacks. This is where managed WAFs come in. Designed to block the vulnerabilities identified by the OWASP Top 10, these solutions are becoming indispensable in an increasingly hostile digital environment.\n\nThe OWASP Top 10 represents the main web application security vulnerabilities that a managed WAF can effectively address:\n\n-Broken Access Control: Prevents unauthorized users from accessing sensitive data or functionality\n\n-Cryptographic Failures: Protect sensitive data in transit or at rest with secure encryption mechanisms\n\n-Injection: Blocks malicious requests such as SQL or LDAP injections\n\n-Insecure Design: Prevents attacks by detecting risky design patterns\n\n-Security Misconfiguration: Reduces errors linked to misaligned or obsolete configurations\n\n-Vulnerable and Outdated Components: Blocks threats exploited via insecure libraries or frameworks\n\n-Identification and Authentication Failures: protects authentication mechanisms against attacks such as session theft\n\n-Software and Data Integrity Failures: Prevents malicious manipulation of data or software\n\n-Security Logging and Monitoring Failures: Provides real-time visibility of threats via logs and alerts\n\n-Server-Side Request Forgery: Intercepts requests diverted to unauthorized resources\n\nUnlike traditional solutions requiring complex management, a managed WAF offers turnkey protection against these threats. It automatically manages configuration, rule updates and even event logging. The result? Companies benefit from robust defense without having to mobilize internal resources. With a managed WAF, you get not only optimized performance thanks to integration with CDNs, but also enhanced security that protects your data and users against the most common threats. For SMEs and large enterprises alike, it's a solution that combines simplicity, efficiency and peace of mind.\n\n## Caching: A defensive and performance asset\n\nOften considered a simple performance optimization tool, caching also plays an interesting role in security. By temporarily storing static content on distributed cache servers, it helps to mitigate DDoS attacks by effectively absorbing spikes in malicious traffic. This intelligent distribution of traffic across a network of caching nodes considerably reduces the impact of attacks, protecting the main infrastructure and ensuring continuity of service.\n\n# The WAF and Caching combo, an ideal solution for SMEs\n\nSmall and medium-sized businesses, which are at greater risk due to limited resources, can considerably enhance their security by combining WAF and Caching.\n\n# A winning duo against cyberthreats\n\n- **Reduced attack surface**: Caching limits direct access to origin servers, reducing entry points for cybercriminals.\n- **Protection against DDoS attacks**: By absorbing massive traffic, caching prevents server saturation.\n- **Limitation of OWASP Top 10 and other attacks (XSS, etc.)**: WAF filters out malicious requests, while caching prevents their propagation\n\n \n\n# Conclusion\n\nBy combining WAF and Caching solutions, companies benefit from dual protection: enhanced security and optimized performance. This proactive approach not only enables compliance with new European regulations, but also ensures business continuity in the face of growing cyber threats.\n\nProtect your business today with Scaleway. Anticipate tomorrow's threats to ensure your long-term survival.","createdAt":"2025-01-29T08:29:01.128Z","updatedAt":"2025-01-29T21:30:46.317Z","publishedAt":"2025-01-29T21:30:11.313Z","locale":"en","tags":"Cybersecurity\nWaf\nCaching","popular":false,"articleOfTheMonth":false,"category":"Build","timeToRead":4,"excerpt":"In 2024, Europe saw an explosion in cyberattacks. Most frequent threats include DDoS attacks, ransomware and data breaches. A combination of WAF and Caching solutions.","author":"Alexis Sengsay et William Paumier","h1":"Anticipating Cyberthreats: The Winning Duo of WAF and Caching ","createdOn":"2025-01-30","image":{"data":{"id":4306,"attributes":{"name":"Let'sEncrypt-v1-Illustration-1280x720.png","alternativeText":null,"caption":null,"width":2560,"height":1440,"formats":{"large":{"ext":".png","url":"https://www-uploads.scaleway.com/large_Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png","hash":"large_Let_s_Encrypt_v1_Illustration_1280x720_6807529593","mime":"image/png","name":"large_Let'sEncrypt-v1-Illustration-1280x720.png","path":null,"size":347.97,"width":1000,"height":563,"sizeInBytes":347966},"small":{"ext":".png","url":"https://www-uploads.scaleway.com/small_Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png","hash":"small_Let_s_Encrypt_v1_Illustration_1280x720_6807529593","mime":"image/png","name":"small_Let'sEncrypt-v1-Illustration-1280x720.png","path":null,"size":113.49,"width":500,"height":281,"sizeInBytes":113489},"medium":{"ext":".png","url":"https://www-uploads.scaleway.com/medium_Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png","hash":"medium_Let_s_Encrypt_v1_Illustration_1280x720_6807529593","mime":"image/png","name":"medium_Let'sEncrypt-v1-Illustration-1280x720.png","path":null,"size":213.42,"width":750,"height":422,"sizeInBytes":213420},"thumbnail":{"ext":".png","url":"https://www-uploads.scaleway.com/thumbnail_Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png","hash":"thumbnail_Let_s_Encrypt_v1_Illustration_1280x720_6807529593","mime":"image/png","name":"thumbnail_Let'sEncrypt-v1-Illustration-1280x720.png","path":null,"size":39.72,"width":245,"height":138,"sizeInBytes":39718}},"hash":"Let_s_Encrypt_v1_Illustration_1280x720_6807529593","ext":".png","mime":"image/png","size":304.8,"url":"https://www-uploads.scaleway.com/Let_s_Encrypt_v1_Illustration_1280x720_6807529593.png","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2025-01-29T14:24:43.145Z","updatedAt":"2025-01-29T14:24:43.145Z"}}}},{"title":"Scaleway.com redesign: Next.js, TypeScript, (S)CSS Modules","path":"scalewaycom-redesign-nextjs-typescript-scss-modules/","description":"Today we are rebuilding **scaleway.com** ([Gatsby](https://www.gatsbyjs.com/) \\+ [xstyled](https://xstyled.dev/)) to overcome several limitations:\n\n* **extremely long compilation time**: the complete generation of the site exceeds 40 minutes; \n* **outdated documentation**: hard to find up-to-date resources; \n* **unmaintained plugins**: numerous deprecated or incompatible plugins; \n* **compatibility**: frequent obstacles in integrating new libraries; \n* **flexibility**: Gatsby's GraphQL layer requires us to retrieve our data in a certain way; \n* **regressions**: the absence of data typing leads to frequent regressions; \n* **DX**: the development experience is painful (cryptic classes, no suggestions, errors in the code editor).\n\n## Cleaning up the code base\n\n### Plugins to libraries\n\nPassing over [Next.js](https://nextjs.org/), we can now directly install libraries (MDX, Algolia, Segment, etc.) for which we used plugins Gatsby, which were often less well maintained, or even obsolete.\n\n### Clearer and more readable code\n\nOur business logic was very strongly coupled to the [API](https://en.wikipedia.org/wiki/API) Gatsby. For example, a component displaying a list embeds its own **fragment** [GraphQL](https://graphql.org/learn/queries/#fragments). \n\nWe have redesigned our components to be generic and only manage the [UI](https://en.wikipedia.org/wiki/User_interface_design). This made them much more reusable and easier to test, which helped reduce our code duplication.\n\nWe have also implemented a new domain-based organizational structure, inspired by Domain-Driven Design (DDD), which further emphasizes the separation between business logic and “common” UI components.\n\nThis separation of responsibilities significantly expedited the onboarding process for new team members, enabling them to take ownership of the project more efficiently.\n\n## Strapi contribution benefits\n\nWe chose to use [Strapi](https://strapi.io/) for its key advantages, including:\n\n* **A [no-code](https://en.wikipedia.org/wiki/No-code_development_platform) contribution interface**: essential for non-technical users to easily add, modify or delete new pages and content; \n* APIs for a smooth integration: which allows our [front-end](https://en.wikipedia.org/wiki/Front-end_web_development) team to retrieve content efficiently. \n\nThanks to the [dynamic zones](https://docs.strapi.io/user-docs/content-manager/writing-content#dynamic-zones) In Strapi, we provide a whole range of components that contribution teams can use to build pages according to their needs. \n\n\n\n### A new Storybook for Strapi blocks\n\nWe now use [Storybook](https://storybook.js.org/) to document our components in isolation. For every development branch, a Storybook is automatically generated and deployed to a bucket, streamlining the code review process for the entire team. \nIt can be used by contribution teams to preview the components they want to add to a page. \nIt is also a very practical tool for the Visual Design team who can view and manipulate the new components we develop. \n\nEach Storybook file lives next to its component: \n\n- `Button.tsx` \n- `Button.stories.tsx`\n\n\n\n## More robust code with TypeScript\n\nThe adoption of [TypeScript](https://www.typescriptlang.org/) in our code base was a real revolution for our development and integration team.\n\nStrapi uniquely generates diagrams and types for the entities created within it. We leverage these types to ensure complete consistency between the Strapi components and their corresponding [React](https://react.dev/) components.\n\nThis strict type-checking allowed us to reduce the bugs in production, resulting in greater peace of mind for the development team and improved stability for the end-users relying on our deliverables.\n\n## CSS Modules: simplicity and efficiency\n\nWe chose to migrate from the paradigm [Styled Components](https://styled-components.com/docs/basics) — with xstyled — to a more native approach in CSS with [SCSS](https://en.wikipedia.org/wiki/Sass_(style_sheet_language)). \n\nIt was not uncommon to see components of the old codebase exceed 300 lines. This made the development experience quite painful, not to mention the syntax not recognized by the IDE and the lack of adequate built-in help (no auto-suggestion, obfuscated class names, etc). \n\nThe [CSS Modules](https://nextjs.org/docs/13/app/building-your-application/styling/css-modules) are natively supported by Next.js, they allow us to properly separate the principles of our UI components.\n\nExample of the content of a component:\n\n* `Button.tsx` for functional code; \n* `Button.module.scss` for the style of the component.\n\nWith SCSS we also benefit from advanced reusable features, such as [mixins](https://sass-lang.com/documentation/at-rules/mixin/), making writing styles more efficient.\n\nWe also used the [variables CSS (Custom properties)](https://developer.mozilla.org/en-US/docs/Web/CSS/--*) to retrieve the values of [Ultraviolet](https://ultraviolet.scaleway.com/), Scaleway Design System.\n\n\n\n## Using Serverless Containers\n\nThe team took this opportunity to optimize the automation of the different stages of development and code management through deployment and continuous delivery of features or fixes.\n\nWe now use [Serverless Containers](https://www.scaleway.com/en/serverless-containers/) for most of our applications, particularly for our development environments. \n\nEach code branch merge request now has a serverless container automatically created by our CI ([continuous integration pipeline](https://about.gitlab.com/fr-fr/topics/ci-cd/cicd-pipeline/)) on which our Next.js application is deployed.\n\nThese environments of preview greatly facilitate the work of code review because they allow each member of the development team to visualize the result of the modified code without having to re-generate it on their own machine.\n\nIt is also a means for stakeholders to easily consult and validate new features before they are merged into the latest version of the code branch intended for production.\n\nThis also allows us to control costs: these serverless containers are automatically deleted once the code branches are merged.\n\n\n\n### Some figures on build times\n\nScaleway.com is [statically generated](https://www.cloudflare.com/learning/performance/static-site-generator/). Here are the results of migrating to Next.js on build time — or *build* — from the application:\n\n| Build from scaleway.com | Date | Average duration\\* |\n| :---- | :---- | :---- |\n| Gatsby | December 2023 | \\~27 min |\n| Next.js | December 2024 | \\~7 min |\n\nThe average duration of generations went from 27 minutes to 7 minutes, representing a **gain of 20 minutes per *build***, or a **74% reduction**.\n\n\u003csmall\u003e\\* We calculated an average over several dozen generations.\u003c/small\u003e\n\n## Conclusion\n\nThe sprints focused on migrating from Gatsby to Next.js were exciting milestones for the entire team over these past few weeks.This transition has led to a significant improvement in our development experience. It has strengthened our daily speed and flexibility thanks to a new simplified and better organized codebase.\n\nThe advantages of this redesign are numerous:\n\n* **Significantly reduced build times**, enabling faster releases and a much quicker feedback loop; \n* **The adoption of TypeScript**, which effectively prevents regressions and builds team confidence in developing and maintaining complex features; \n* Improved Developer Experience (DX) with Next.js and associated tooling, leading to enhanced team morale; \n* **Increased confidence among stakeholders**, who witnessed a boost in team velocity and the robustness of features.\n\nIt was important to us that each member of the team could participate in this redesign and add a contribution to the edifice. We are all proud to have participated in this collective effort, and we are convinced that these new tools and this reinforced dynamic will help us drive Scaleway forward even further.","createdAt":"2025-01-22T13:50:27.375Z","updatedAt":"2025-02-06T14:04:00.010Z","publishedAt":"2025-01-23T14:11:12.209Z","locale":"en","tags":"Gatsby\nNextJS\nFront-web\nMigration\nWebsite","popular":false,"articleOfTheMonth":false,"category":"Scale","timeToRead":9,"excerpt":"This blog post looks back at the experience of the Scaleway Frontend Website team on their recent migration to the React Next.js framework.","author":"Team FrontWeb","h1":"Scaleway.com redesign: Next.js, TypeScript, (S)CSS Modules","createdOn":"2025-01-21","image":{"data":{"id":4310,"attributes":{"name":"next-js-migration.png","alternativeText":null,"caption":null,"width":2063,"height":1304,"formats":{"large":{"ext":".png","url":"https://www-uploads.scaleway.com/large_next_js_migration_4127d7f2f0.png","hash":"large_next_js_migration_4127d7f2f0","mime":"image/png","name":"large_next-js-migration.png","path":null,"size":703.62,"width":1000,"height":632,"sizeInBytes":703618},"small":{"ext":".png","url":"https://www-uploads.scaleway.com/small_next_js_migration_4127d7f2f0.png","hash":"small_next_js_migration_4127d7f2f0","mime":"image/png","name":"small_next-js-migration.png","path":null,"size":223.73,"width":500,"height":316,"sizeInBytes":223726},"medium":{"ext":".png","url":"https://www-uploads.scaleway.com/medium_next_js_migration_4127d7f2f0.png","hash":"medium_next_js_migration_4127d7f2f0","mime":"image/png","name":"medium_next-js-migration.png","path":null,"size":427.95,"width":750,"height":474,"sizeInBytes":427947},"thumbnail":{"ext":".png","url":"https://www-uploads.scaleway.com/thumbnail_next_js_migration_4127d7f2f0.png","hash":"thumbnail_next_js_migration_4127d7f2f0","mime":"image/png","name":"thumbnail_next-js-migration.png","path":null,"size":68.79,"width":245,"height":155,"sizeInBytes":68788}},"hash":"next_js_migration_4127d7f2f0","ext":".png","mime":"image/png","size":464.03,"url":"https://www-uploads.scaleway.com/next_js_migration_4127d7f2f0.png","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2025-01-30T09:21:45.130Z","updatedAt":"2025-01-30T09:21:45.130Z"}}}},{"title":"Smart-proven contracts","path":"smart-proven-contracts/","description":"In the decentralized-storage ecosystem, a specific type of program is used for storage access: smart contracts. They are used for anything to read or write over a public decentralized database (aka blockchain). They are deployed over multiple nodes of a network and will be executed when needed (for record, trade, election, any kind of process...). Smart contracts are intended to be in charge of the integrity of the data and transaction, that makes them particularly critical, like a 'real contract'.\n\n\nNew kinds of tools are slowly making their way to ensure smart-contract reliability. Let's see how.\n\n\n## Criticality of smart contracts\nOne fundamental leitmotiv of a blockchain is trustlessness: you don't need to trust someone in particular to interact with (indeed, the trust is shared because decisions are decentralized, data are immutable, there is voting by consensus...).\nHowever, smart contracts are still basic programs. They can be buggy or malicious. They easily broke this trustless principle. One way to be sure that a smart contract is really doing well could be resolved by introducing a lot of tests, but corner cases are hard to mitigate.\n\n\n## Classical testing limits\n\n\nBy writing unit/behaviour testing and assertion checks you will need a huge amount of tests (and time) to guarantee that by calling function 'A' with argument 'x', you will get 'y' and avoid any side effects into the rest of your program. Furthermore, assertions and tests are *runtime-based*, so you need to simulate a small blockchain and i/o.\n\n\nA solution to this labour could be to write our program as a way to be sure-by-design regarding its behaviour (integrity \u0026 reliability). This assertion is equivalent to building a mathematical proof that our program satisfies a property at a given time. Building such a proof is equivalent to make the *formal verification* of our program.\n\n\n## Formal verification of programs\n\n\nWe do formal verification by checking -in a determinist way- that the program behaviour satisfies some requirements, basically *verify that it does what we want*. However, these properties are described using a formal modeling, a kind of mathematical description of computation, axioms and states. Model-checking and theorem-proving are the two main prominent methods in that field.\n\n\nThis is very different from classic testing or assertion methods! Indeed the verification is done upstream while unit test/assert is done at runtime.\n\n\n*Formal verification allows us to prove that some behaviours will never occur because it was written that way.*\n\n\nFormal methods are still in research and development for decades by logicians and computer scientists. Because potential pay-offs of formal verification are high, there is a big shift between true-formal partisans and pragmatic people, who favor more direct and inquiry-relative ways to test and evaluate programs.\nSmart contracts are good candidates to reunify both sides. They are small, very domain specific, public and they must be rock-solid on what they are supposed to do: critical operations on sensitive stuff. They are immutable, so any mistake or vulnerability can lead to a disaster.\n\n\nNevertheless, verifying a program from scratch is a huge undertaking that requires time and specialists skilled into formal methods. We need tooling to bring this valuable paradigm into more common programming.\nHere an overview of the current state and efforts to understand the usage of formal verification in smart contracts.\n\n\n## Verify existing languages\nSmart contracts are actually written using domain specific programming languages. There are relatively few programming languages that are well-suited to work with, and some of the available languages can be difficult to learn or use.\n\n\nWe can enumerate: [Clarity](https://clarity-lang.org/) for Bitcoin, [Solidity](https://soliditylang.org/) or the less-buggy [Vyper](https://vyper.readthedocs.io/en/stable/) for Ethereum-based blockchains, [Liquidity](https://liquidity-lang.org/) or any [Michelson](https://www.michelson.org/) transcript tool for Tezos (because nobody will force you to write anything in Michelson).\n\n\nThere are efforts to bring formal method verification into contracts, one way is to verify the language it-self. It means: avoid any by-design mistake of a language (overflow, underflow, mistyping) that can be error prone.\n\n\n## On Ethereum VM\nWorking on Ethereum-based smart contracts (mostly) imply [Solidity](https://soliditylang.org/): it is a powerful and flexible language that is widely adopted. However, it can be difficult to write secure and reliable programs, as it is easy to make mistakes that could compromise the security or functionality of a contract. This is a well-known issue.\n\n\nIndeed, Solidity comes with its inherent problems:\n- Too permissive / on the very top of the Ethereum Virtual Machine (EVM)\n- Procedural-coding is encouraged, not good to apply constraints over property\n- Language compiler is changing too quickly for verification tools to keep up\n- The only way to know the meaning of a Solidity contract is to compile it into bytecodes\n- How to ensure that the bytecode behaviour is the same from the high level language?\n\n\nEfforts made over the Ethereum blockchain are present as well as academic research engaged to modelize the EVM. However, concrete and production-ready tooling are absent. Indeed, it is highly non trivial to evaluate a language's robustness from a language that was not designed for. It requires to be translated into a provable language. However, original semantics can be lost in the process...\n\n\nThere is, like this Ethereum initiative to provide an EVM [Isabelle implementation](https://github.com/pirapira/eth-isabelle), or to formally [verify the Vyper language](https://github.com/kframework/vyper-semantics). It leds to a fine bug tracking which highlight this kind of funny issues like [this one](https://github.com/vyperlang/vyper/issues/519) or [this one](https://github.com/vyperlang/vyper/issues/703), where compiler initialization or call incoherences were found.\n\n\nSince the announcement in [2016](https://blog.ethereum.org/2016/09/01/formal-methods-roadmap) and some projects or [proof-of-concept articles](https://www.cs.umd.edu/~aseem/solidetherplas.pdf), nothing more has been done over EVM. The consequence of a lack of profile working on these subjects.\n\n\nCurrent efforts are focus on security analysis tools like [Sourcify](https://github.com/ethereum/sourcify) or [Mythril](https://github.com/ConsenSys/mythril); which uses symbolic execution to analyze Solidity codebase and generated bytecode to identify potential vulnerabilities.\n\n\nA common workaround to track contract vulnerabilities remains bug bounty. There are many bounty platforms like Hacken or Immnuefi...\n\n\n## On Tezos\nOn the other hand Tezos is leading formal verification applied to smart contracts by proposing proof-tooling to interact with its blockchain. They intend to fully certify their whole codebase and contracts.\n\n\nA common approach to write smart contracts over Tezos is to use the low-level Michelson language. This language has been entirely formally verified, which means: they don’t have known bugs and vulnerabilities. It has been done with [Mi-Cho-Coq](https://gitlab.com/nomadic-labs/mi-cho-coq), introduced by Nomadic Labs. Mi-Cho-Coq is a verification tool for Tezos smart contracts relying over the [Coq proof-assistant](https://github.com/coq/coq) to apply the [Curry Howard correspondence](https://en.wikipedia.org/wiki/Curry%E2%80%93Howard_correspondence) (TLDR; establish mapping between mathematical proofs and program computations). With Mi-Cho-Coq, developers can now write smart contracts with a robust proof-assistant, verify their correctness, translate it to Michelson language, then deploy it to the blockchain. If any errors or vulnerabilities were found, a report details identified issues and suggests potential fixes.\n\n\nMi-Cho-Coq acts like a specification library for smart contracts and can be especially useful for developers working on complex or critical contracts, but still, it is requiring to code in Coq; it can be very costly to define every piece of a contract.\n\n\n## Dedicated languages\n\nAnother alternative is to write smart contracts with a programming language that embarrasses a provable approach. It includes: define every asset of the program, clear values, guarantees of termination and outcomes, and of course, the program won't compile in case of semantic incoherence.\n\n\n## Ethereum's challenger: Act\nDespite Solidity's widespread usage over Ethereum blockchain, there are common efforts to develop EVM compatible formal-based smart contract languages: [Act](https://github.com/ethereum/act). Act allows specification of storage updates, pre/post conditions and contract invariants.\nAct is a statically typed, functional programming language written and inspired by Haskell. It includes:\n- Strong type system that ensures that contracts are correct and error-free\n- Low overhead for better perf than Solidity\n- Type-safe and automatic memory management to prevent vulnerabilities\n- A built-in support for formal verification to enhance the correctness of their contracts\n- Numerous proof backends like Coq, SMT solvers or HEVM.\n\n\nTo sum up, everything that Solidity cannot employ.\n\n\nAct is still in development and not production-ready.\n\n\n## Tezos' challenger: Archetype\nIn 2020, another domain specific language comes out to specify smart-proven contracts over Tezos: the [Archetype language](https://archetype-lang.org/).\n\n\nArchetype is developed in OCaml and maintained by the [Edukera team](https://edukera.com/), which has already developed a mathematical proof-assistant for education based by using Coq. So, they are not at their first try. Archetype can be seen as a high level language like Liquidity or Solidity, but the comparison stops there.\n\n\nArchetype offers nice features like built-in state-machine mechanism, asset definition and integrated property specifications. These in-code specifications allow us to specify what we want to expect from the written contract.\n\n\nLet's make a scholar example of a voting process and find a way to secure our program.\n\n\nFirstly, define assets that will be manipulated within the contract: voter, ballot and a winner when the vote will be buried:\n\n\n```javascript\n(* Dates to delimit our vote in time *)\nvariable startDate : date = 2023-10-12T00:00:00\nvariable deadline : date = 2024-10-12T00:00:00\n\n\nasset voter identified by addr {\n addr : address;\n hasVoted : bool\n}\n\nasset ballot identified by value {\n value : string;\n nbvotes : int;\n}\n\nasset winner {\n value : string\n}\n```\n\nThen we define a vote function where preconditions and postconditions are clearly defined. Archetype requires you to define one postcondition (section 'effet') per incoming argument of one entrypoint. We can also clearly state that an argument doesn't change by specifying 'A = before.A'.\n\n\n```javascript\nentry vote (val : pkey\u003cballot\u003e) {\n require {\n c1 : voter.contains(caller);\n c2 : state = Voting;\n c3 : voter[caller].hasVoted = false;\n }\n\n\n effect {\n voter.update (caller, { hasVoted = true });\n if ballot.contains(val) then\n ballot.update(val,{ nbvotes += 1})\n else\n ballot.add({ value = val; nbvotes = 1})\n }\n}\n```\n\n\nWhen the vote goes end, we bury the vote and transit to a new state:\n\n\n```javascript\ntransition bury () {\n require {\n c4 : now \u003e deadline;\n }\n from Voting\n to Buried\n with effect {\n var nbvotesMax : int = 0;\n for b in ballot do\n nbvotesMax := max(nbvotesMax, ballot[b].nbvotes)\n done;\n \n for b in ballot do\n if (ballot[b].nbvotes = nbvotesMax)\n then winner.add({ value = ballot[b].value })\n done\n }\n}\n```\n\n\nWe can add some specifications that should remain true at any moment during the life of the contract. This is called invariant. As you can imagine, the sky is the limit; the more there are (well) defined properties, the more the contract will be clear, relevant and robust.\n\n\nThere is no systemic method to establish contract invariants. You need to figure them out by asking \"What my entrypoints should preserve?\" or \"Which relations hold between my variables?\".\n\n\n```javascript\nspecification {\n (* End date cannot be before or equal to the starting date *)\n contract invariant s3 {\n startDate \u003c deadline\n }\n \n\n (* Ensure there is no duplicate or missing vote *)\n contract invariant s4 {\n (voter.select(the.hasVoted = true)).count() = ballot.sum(the.nbvotes)\n }\n\n (* Check that the voting count of winning ballot is greater or equal to all other ballot *)\n contract invariant s5 {\n forall w in winner,\n forall b in ballot,\n let some wb = ballot[w.value] in\n b.nbvotes \u003c= wb.nbvotes\n otherwise false\n }\n}\n```\n\n\nPostconditions and invariants are made to describe the correctness of independent entrypoints, but they cannot capture the effect of a sequence of calls on the contract. This is still an active research field to provide powerful formal method approaches capable of assessing properties during a sequence.\n\n\nArchetype automatically transcripts provided specifications to be analyzed by [Why3](https://gitlab.inria.fr/why3/why3) platform. Why3 is surrounding the Coq proof-assistant to verify software and guarantee their trustability. It is literally a program that verifies other program's semantics. Find here the [official manual](https://why3.lri.fr/manual.pdf).\n\n\nArchetype provides a builtin simulation system to test a contract (like it is published). Simulation is still relevant to figure out if you miss to define a property within the contract. It is a cool feature to iterate progressively to a fully-proven smart contract.\n\n\nArchetype is a relatively new programming language which is focused on making easier and more secure the way to write smart contracts. It is still in the early stages so it is not yet widely used, but -because of its readability and strong type/formal verification support- it has the potential to become a popular choice over Tezos development in the near future.\n\n\n## Conclusion\nFormal verification paradigm and smart contract are meant to have a love story. Indeed, smart contracts are complex things and everybody is looking for a better regulator/standardization system:\n- Formal verifications allows theoretical long term time-saving, less debug and less maintenance\n- Tend to domain specific, strongly typed, close to our domain logic, less overhead to manage\n- Formal verification can help ensure that the contract is resistant to attack or manipulation, and that it will not be vulnerable to exploitation by malicious actors\n- By providing a higher level of assurance that the contract will work as intended, formal verification increases trust and confidence in the contract, leading to higher-value transactions\n- It introduces a faster development cycle. Indeed, formal verification relies on a symbolic approach, compared to classical testing which only tries 'real' values. It induces better code coverage. Furthermore, formal verification will avoid many 0-day-design-errors that will be a disaster to fix once in production\n\n\nBut it comes with drawbacks:\n- There are currently relatively few programming languages that are well-suited for formal verification, and some of the available languages can be difficult to learn or use\n- New programming languages imply time to learn them; are you so sure to deal with a language which involves few developers? It is risky, it could imply to reach only junior profiles and a lot of Copy/Paste of rare code snippets that could be poorly written\n- It's a complex activity to write a full program specification. We need to be skilled to handle generic proof-assistant, such tools like Act and Archetype tend to offer an opportunity to reduce the gap\n- You are limited by the specifications you identify. If specifications are poorly written, violations of properties (which lead to vulnerable executions) cannot be detected by any formal verification\n- Furthermore, any proven-code that runs over a virtual machine is obviously subject to the virtual machine implementation.. Is this VM fully-proven?...\n\n\nThe state of formal verification on smart contracts is still in early stages, there is a lot of work to be done to make it more accessible and widely adopted by developers. The smart contract field continues to mature and evolve: security, trustworthiness, and reliability are the greatest challenges to overcome. As we saw, formal verification is a powerful tool to improve these aspects of smart contracts, by reducing the risk of errors or vulnerabilities that could compromise their integrity.\n\n\n\n","createdAt":"2024-12-19T16:43:47.798Z","updatedAt":"2025-01-07T09:29:44.886Z","publishedAt":"2025-01-06T18:20:44.457Z","locale":"en","tags":"smart contract \nblockchains","popular":false,"articleOfTheMonth":false,"category":"Build","timeToRead":5,"excerpt":"In the decentralized-storage ecosystem, a specific type of program is used for storage access: smart contracts. ","author":"Valentin Macheret","h1":"Smart-proven contracts","createdOn":"2025-01-07","image":{"data":{"id":4206,"attributes":{"name":"AI-Usecases-GenerativeAI-Illustration-752x492.png","alternativeText":null,"caption":null,"width":1504,"height":984,"formats":{"large":{"ext":".png","url":"https://www-uploads.scaleway.com/large_AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png","hash":"large_AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755","mime":"image/png","name":"large_AI-Usecases-GenerativeAI-Illustration-752x492.png","path":null,"size":730.46,"width":1000,"height":654,"sizeInBytes":730459},"small":{"ext":".png","url":"https://www-uploads.scaleway.com/small_AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png","hash":"small_AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755","mime":"image/png","name":"small_AI-Usecases-GenerativeAI-Illustration-752x492.png","path":null,"size":239.88,"width":500,"height":327,"sizeInBytes":239875},"medium":{"ext":".png","url":"https://www-uploads.scaleway.com/medium_AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png","hash":"medium_AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755","mime":"image/png","name":"medium_AI-Usecases-GenerativeAI-Illustration-752x492.png","path":null,"size":419.69,"width":750,"height":491,"sizeInBytes":419691},"thumbnail":{"ext":".png","url":"https://www-uploads.scaleway.com/thumbnail_AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png","hash":"thumbnail_AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755","mime":"image/png","name":"thumbnail_AI-Usecases-GenerativeAI-Illustration-752x492.png","path":null,"size":74.65,"width":238,"height":156,"sizeInBytes":74647}},"hash":"AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755","ext":".png","mime":"image/png","size":163.22,"url":"https://www-uploads.scaleway.com/AI_Usecases_Generative_AI_Illustration_752x492_6acbfc6755.png","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2024-12-19T16:52:58.525Z","updatedAt":"2024-12-19T16:52:58.525Z"}}}},{"title":"The fundamentals of anti-DDoS protection","path":"the-fundamentals-of-anti-ddos-protection/","description":"# DDoS Protection: Key Principles and Mechanisms\n\nDistributed Denial-of-Service (DDoS) attacks are attempts to disrupt the activity of a service, server, or network by continuously flooding it with requests. The origin of these requests is a network of systems purposefully infected by malicious software. This botnet network acts in tandem to flood the victim’s bandwidth or compute resources. The distributed nature of the flood makes it harder to stop the attack, as the threat is coming from several sources at once.\n\nAccording to the [MIT Technology Review](https://www.technologyreview.com/2019/04/18/103186/the-first-ddos-attack-was-20-years-ago-this-is-what-weve-learned-since/), the first recorded attack dates back to 1999, when a malicious script caused a network of 114 computers to send superfluous data packets to a computer at the University of Minnesota, rendering it inaccessible for two days. In the following month, this practice began to spread, incurring attacks on major websites of the time such as CNN, Amazon, and Yahoo. \n\nIn the following 20 years, this type of cyberattack became a popular tactic among hacktivists and businesses targeting competitors, as it proved to be a powerful weapon of activity disruption and resulted in important financial losses. \n\nAccording to Cloudflare\u003csup\u003e[1]\u003c/sup\u003e, an exponential increase in the number of DDoS attacks and their dimension, was observed from 2010 to 2024. At the beginning of the 2010s, the total transferred data in the largest known attacks was measured in Gbps, whereas now the data is measured in Tbps, meaning that the space it takes up has increased by 1000 times (Figure 1). In only the last six months, NETSCOUT\u003csup\u003e[2]\u003c/sup\u003e observed a 12,8% increase in the number of attacks compared to the last semester of 2023. \n\n and Cloudflare](https://www-uploads.scaleway.com/Capture_d_ecran_2024_12_29_a_21_44_20_6b40997327.png)\n\nThese numbers help us understand the importance of investing in protection and security measures against DDoS attacks. Since the sources of the attack are distributed, however, it is hard to act on the attack once it has already started. This is why prevention is key when dealing with DDos. \n\nBut before knowing how to prevent these attacks, we need to understand how they work. \n\n\n# Types of DDoS Attacks\n\nThere are 3 types of DDoS attacks: **Volumetric**, **Protocol**, and **Application-Layer**. These types are defined according to which layer of the network connection\u003csup\u003e[3]\u003c/sup\u003e they attack and the distributed method used to render the victim's system inoperable. \n\n## Volumetric attacks\n\n**Volumetric** attacks flood the victim’s network capacity with excessive traffic, causing bottlenecks in bandwidth and throughput. Large amounts of data are sent to the target by a botnet, a network of internet-connected devices compromised by malware that is, as a consequence, under the control of the attacker. Since many large packets are sent at once, the system cannot process all requests at once, resulting in packets being buffered and then dropped. \nThe goal is to create enough congestion that all the available network capacity is consumed, render the system unavailable to receive legitimate traffic, and make it vulnerable to other threats. \n\n## Protocol attacks\n\nProtocol attacks benefit from protocol weaknesses in the transport and network layers of the network connection framework. These layers correspond to layers 3 and 4 of the [OSI model](https://www.scaleway.com/en/docs/network/vpc/concepts/#vpc).\nIn this type, service disruption is caused by the exhaustion of server and/or network resources. Usually, the attacker will make requests to the victim’s server that will not behave according to the established protocol, causing the server to allocate resources and memory to handle malicious requests that have no intention of being completed.\nA common method used is a SYN flood, in which attackers send numerous SYN requests to a server but do not complete the expected TCP handshake with the ACK response. While the handshake is not completed, the server will keep the incomplete sessions running. Many concurrent incomplete sessions may render the system inoperable.\n\n## Application-layer attacks\n\nThis type of DDoS attack targets layer 7 of the [OSI model](https://www.iso.org/standard/20269.html) : the application layer. This is where web services are accessible to clients, and where HTTP requests are received and responses delivered. Behind this, the server infrastructure is activated, implicating memory and computing power to query databases and load files, for example. In cloud-native applications, such requests may trigger autoscaling features.\n\nA high volume of requests can incur high costs. Meanwhile, for the attacker, a simple HTTP request requires little effort and cost. \n\nSince the application layer is the last of the OSI model and the first the client comes into contact with, the network footprint of the attack is smaller. This, paired with the difficulty in distinguishing a legitimate request from a malicious one, can render this attack type one of the hardest to identify and mitigate.\n\n## Multi-vector attacks\n\nThe three types of attacks described above can also be combined in what is called a multi-vector attack. \n\nMulti-vector attacks have been observed since 2010\u003csup\u003e[4]\u003c/sup\u003e. As a reflection of the advancement of DDoS technologies, they have become more popular with the proliferation of IoT devices and cheap, streamlined DDoS attack tools.\n\nThe combination of all three techniques makes an already complex identification and mitigation process even more complicated to deal with.\n \n## Why your infrastructure needs protection\n\nAs mentioned before, the main and most immediate impact of DDoS attacks on a system is rendering services unavailable or inoperable. Different parts of a service’s infrastructure may depend on and/or be controlled by the server being attacked, so the consequences may go further than just impacting one single server. \n\nService downtime can cause customer frustration, impacting the business’ reputation and incurring potential financial losses.\nFurthermore, when a system is overwhelmed, it becomes vulnerable to other cyberattacks. While the server is busy handling the load of the DDoS attack, it will certainly have a harder time mitigating a second attack. \n\n\n# Protection solutions for your infrastructure\n\nWhen it comes to DDoS attacks, prevention is key. \n\nImplementing DDoS identification mechanisms is equally important, but when faced with a multi-vector attack, for example, you’ll likely not know where the threats are coming from right away. It’s easy to conflate normal with malicious traffic, especially in situations where large volumes are expected.\n\nDepending on your infrastructure setup, you can implement protection for your services by combining several of the following techniques:\n\n## Traffic filtering and rate limiting\n\nWhen deciding which prevention methods to apply, consider that the less you expose your server’s network, the better. It is important to reduce the surface of exposure by restricting traffic to specific parts of the infrastructure, avoiding communication that uses outdated applications, ports, or protocols. If you know where the attack is coming from, a simple action is to block the IPs carrying out the threat through IP blocklisting. \n\nCompanies dedicated to cyberattack mitigation can also offer intelligent traffic filtering, where advanced algorithms and behavioral analytics are used to differentiate between legitimate user activity and malicious traffic. \n\nYou can also limit the number of requests per second a server can process from a single source with rate limiting. \n\n## Reinforcing your network infrastructure\n\nTools like firewalls and Intrusion Prevention Systems (IPS) help you filter out malicious traffic before it reaches systems by blocking suspicious activity at the network level. \n\nYou can also set up a load balancer to distribute incoming traffic across multiple servers and prevent any single server from being overwhelmed during an attack, or only in case of periods of high demand. \n\nTo protect your websites, you can deploy security headers to prevent exploits like cross-site scripting (XSS) and ensure SSL/TLS encryption to protect data in transit. \n\nWeb Application Firewalls (WAF) are another method commonly used to filter and monitor HTTP traffic between web applications and users. Watch this space for Scaleway's upcoming WAF feature, currently being integrated into our [Edge services](https://www.scaleway.com/en/edge-services/) product.\n\n## Behavioral analysis and anomaly detection\n\nMonitoring and analyzing network logs is a crucial part of any anti-DDoS prevention system. To identify any threats, you must first know what your regular network activity looks like. This is why tools like intrusion detection systems, security information, and event management platforms must be configured as soon as you set up your infrastructure. The sooner monitoring mechanisms are used and the more frequently they are checked, the easier it is to identify anomalies should they occur. \n\nAt Scaleway, you can use [Cockpit](https://www.scaleway.com/en/docs/observability/cockpit/) to monitor your cloud resources. Cockpit stores metrics, logs, and traces and provides a dedicated dashboarding system on Grafana for easy visualization. Different metrics are available for different resource types, with metrics for network traffic being available for many, enabling you to monitor connections over the public interface.\n\n## Redundancy and failover systems\n\nEven though the ultimate goal is avoiding attacks from happening altogether, it is important to have a plan B in case your service is compromised. \n\nIt is a good practice to deploy backup servers and alternate routing paths that take over automatically if the primary system is compromised. These redundancy and failover systems ensure the continuity of your service by rerouting legitimate traffic and reducing downtime.\n\n## Cloud-based DDoS mitigation\n\nYou can employ cloud-based services, such as Content Delivery Networks (CDNs), to implement a scalable defense strategy. \nCDNs distribute incoming traffic across a distributed global network of servers. This ensures that malicious traffic is absorbed by the CDN and filtered before it reaches the target, avoiding overloads. Additionally, CDNs can cache the content of a web service and handle legitimate traffic while the malicious data is being mitigated, ensuring continuous activity. \n\n## Managed DDoS mitigation services\n\nYou can implement and manage all the techniques above, but you can also outsource DDoS mitigation services to companies dedicated to computing security solutions. \n\nIf you lack the in-house resources to implement defense against large-scale or sophisticated attacks, managed solutions can help unburden you of not only the setup but also the monitoring of your network infrastructure protection. Managed solutions often include 24/7 monitoring, traffic analysis, intelligent traffic filtering, and rapid mitigation strategies.\n\n\n## Best Practices for Long-Lasting Protection\n\nOnce one or more of these methods are implemented and managed, you must also make sure that they are maintained and remain effective in the long run. \n\nCarrying out regular security audits is recommended for identifying vulnerabilities in your infrastructure, such as outdated software, misconfigurations, or exposed endpoints, and addressing them proactively. \n\nTraining your staff to recognize and respond to a threat can also significantly reduce the risk of breaches caused by social engineering or negligence.\n\nStaying up-to-date on emerging attack technologies, trends, and tools, as well as researching new protection methods and integrating them will help you anticipate and prepare for potential risks.\n\n## Anti-DDoS at Scaleway\n\nScaleway relies on managed mitigation services to stop and avoid attacks. We leverage Netscout’s anti-DDoS solution, Arbor Protection, to efficiently safeguard our entire infrastructure, from internal services to all the solutions we offer to our clients.\n\nIf you have a dedicated Dedibox server, you can subscribe to personalized anti-DDoS mitigation managed by our support team. \n\nScaleway offers three anti-DDoS plans for Dedibox servers:\n\n\nLearn more at [Scaleway DDoS Protection.](https://www.scaleway.com/en/dedibox/ddos-protection/)\n\n### Sources\n\n1 - [Bigger and badder: how DDoS attack sizes have evolved over the last decade - Cloudflare Blogpost](https://blog.cloudflare.com/bigger-and-badder-how-ddos-attack-sizes-have-evolved-over-the-last-decade/)\n2 - [NETSCOUT DDoS Threat Intelligence Report / Issue 13: Findings from 1H 2024 - Global Highlights](https://www.netscout.com/threatreport/global-highlights/)\n3 - [OSI Model Specifications - ISO/IEC 7498-1:1994](https://www.iso.org/standard/20269.html)\n4 - [How to Analyze and Reduce the Risk of DDoS Attacks - Netscout Whitepaper](https://www.google.com/url?q=https://www.netscout.com/resources/white-papers/how-to-analyze-and-reduce-the-risk-of-ddos-attacks\u0026sa=D\u0026source=docs\u0026ust=1735510094259837\u0026usg=AOvVaw2UfCBCqK_ELFs4Mu0LkPdO)","createdAt":"2024-12-29T21:01:27.702Z","updatedAt":"2025-01-15T09:44:13.873Z","publishedAt":"2024-12-29T22:00:46.654Z","locale":"en","tags":"DDoS\nDedibox","popular":false,"articleOfTheMonth":false,"category":"Build","timeToRead":5,"excerpt":"Learn the fundamentals of DDoS protection: how malicious botnets flood networks to disrupt services and the key mechanisms to safeguard your infrastructure against these distributed threats.","author":"Luiza del Giúdice de Carvalho","h1":"The fundamentals of anti-DDoS protection","createdOn":"2024-12-30","image":{"data":{"id":4220,"attributes":{"name":"ObjectStorageCORS-Illustration-1280x720.png","alternativeText":null,"caption":null,"width":2560,"height":1440,"formats":{"large":{"ext":".png","url":"https://www-uploads.scaleway.com/large_Object_Storage_CORS_Illustration_1280x720_6015ee750d.png","hash":"large_Object_Storage_CORS_Illustration_1280x720_6015ee750d","mime":"image/png","name":"large_ObjectStorageCORS-Illustration-1280x720.png","path":null,"size":321.89,"width":1000,"height":563,"sizeInBytes":321886},"small":{"ext":".png","url":"https://www-uploads.scaleway.com/small_Object_Storage_CORS_Illustration_1280x720_6015ee750d.png","hash":"small_Object_Storage_CORS_Illustration_1280x720_6015ee750d","mime":"image/png","name":"small_ObjectStorageCORS-Illustration-1280x720.png","path":null,"size":102.85,"width":500,"height":281,"sizeInBytes":102847},"medium":{"ext":".png","url":"https://www-uploads.scaleway.com/medium_Object_Storage_CORS_Illustration_1280x720_6015ee750d.png","hash":"medium_Object_Storage_CORS_Illustration_1280x720_6015ee750d","mime":"image/png","name":"medium_ObjectStorageCORS-Illustration-1280x720.png","path":null,"size":194.76,"width":750,"height":422,"sizeInBytes":194761},"thumbnail":{"ext":".png","url":"https://www-uploads.scaleway.com/thumbnail_Object_Storage_CORS_Illustration_1280x720_6015ee750d.png","hash":"thumbnail_Object_Storage_CORS_Illustration_1280x720_6015ee750d","mime":"image/png","name":"thumbnail_ObjectStorageCORS-Illustration-1280x720.png","path":null,"size":33.41,"width":245,"height":138,"sizeInBytes":33405}},"hash":"Object_Storage_CORS_Illustration_1280x720_6015ee750d","ext":".png","mime":"image/png","size":301.14,"url":"https://www-uploads.scaleway.com/Object_Storage_CORS_Illustration_1280x720_6015ee750d.png","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2024-12-29T21:43:13.919Z","updatedAt":"2024-12-29T21:43:13.919Z"}}}},{"title":"Distributed ML model inference","path":"distributed-ml-model-inference/","description":"In the state of 2024, some Large Language Models (LLM) are made of hundreds of billions of parameters. To run them you need GPUs, big GPUs. With BLOOM-176 or OPT-175 you will broadly need 3 Nvidia A100, costing $15K each. A paper published in March 2023 introduces [Petals](https://arxiv.org/pdf/2209.01188.pdf), a framework for collaborative inference (ie: process a real user's request). It concludes that the bill can be drastically reduced. Let's see how: we first introduce how training actually works then inference for a big model, then explain how Petals improved that. We’ll conclude by system limitations.\n\n\n## Distributed training\nDistributed Machine Learning is required to achieve high performance in training large models based on very large dataset (about terabytes of data). It globally implies to train the model across multiple instances (that can host one or more GPUs), rather than on a single instance. The data is split across the instances, and each of them trains the model on its portion of the data. All resulting models are then combined to produce a final model. This approach can significantly reduce the time it takes to train large models.\n\n\nTools like [Hivemind](https://github.com/learning-at-home/hivemind), [Horovod](https://horovod.readthedocs.io/en/stable/summary_include.html) and [BigDL](https://bigdl-project.github.io/0.13.0/index.html) fit well for this purpose. This approach allows it to overrun many single-instance hardware limitations. Concerning privacy, distributed-ML design patterns like [Private Aggregation of Teacher Ensembles (PATE)](https://arxiv.org/abs/1802.08908) are built to keep data as private as possible during training.\n\n\n## Inference time!\nOnce the model is trained and fine tuned, it is then post-processed to be prepared for inference. It is not an easy task.\n\n \n\n\n\nThe common pipeline is like:\n1. Optional: Dilute your model to a new one (kind of transfer learning) in order to drastically reduce the number of parameters, but it will affect your model accuracy\n2. Optional: Quantize the model by replacing 4 bytes floats to 1 (int8) or 2 bytes (int16). It can be a good move, but it highly depends on your model (typically you won't quantize a trigonometric function...). If done completely, a model can be run of a CPU or NPU instead of a GPU\n3. Deploy an API or a [Triton server](https://github.com/triton-inference-server/server) that will receive input data / queries in front of the model\n4. Put the model on an instance and pray that it fits into RAM (or VRAM). To illustrate, BLOOM LLM model \"fits\" into 352GB of RAM\n5. It doesn't fit? Well, you have to split your model into smaller pieces (layer by layer), offload them to RAM or SSD and load them dynamically when needed, performance loss is guaranteed\n6. Because your model is highly requested (congrats!) you need to scale your GPU-equipped instance pool to handle such traffic, which leads to orchestration and load balancing… You know the drill.\n\n\nEven if you optimize your billions-parameters-model (as it is the trend with LLMs), each instance requires you to run and infer the entire model, which is quite expensive. Some sources argue that ChatGPT cost about [$700K a day to run](https://www.semianalysis.com/p/the-inference-cost-of-search-disruption).\n\n\n## Distributed… inference?\nIn march 2023, BigScience released a [new paper onto arXiv](https://arxiv.org/pdf/2209.01188.pdf) that sounds like a relevant proof-of-concept.\n\n\nIn a word: Petals is a protocol that connects a swarm of multi-origin and heterogeneous instances with GPU to share the whole inference of a large language model (the POC is using BLOOM model, about 176 billions params, quite similar to GPT3). Each instance runs a single layer of the model for forward and backward passes, instead of the whole model:\n- When an inference request is received, the instance running the first layer applies the forward pass\n- Result is sent to the instance hosting the second layer\n- And so on until the last layer of the model\n- The final output is the response payload to the input request\n\n\nAchievements belong in 3 aspects: the nature of the instances, the layer-based load balancing possibility and a memory efficient fine-tuning.\n\n\n## Heterogeneous park\nIn the article, the nature of the instances themselves is very sparse: \"only\" equipped with gaming GTX 2080, GTX 3060 or stronger A100 GPU.\nIn comparison, if you were running the whole BLOOM model (352GB) by offloading on a single A100 (80GB GPU), it would take 5.5 seconds to compute one inference.\n\nAn interesting benchmark was done on a set of 14 small servers in real circumstances (with firewalling, heterogeneous network on 2 continents), which shows good performances: Up to x6 in single-batch (processing one request) and x15 in batch-1 and equivalent in batch-64 (ie 64 requests in the same time).\n\n\n\n\n\n## Layer-level load balancing\nBecause the model's layers can be assigned to a large typology of instances, it is possible to apply a fine workload-scaling. Indeed, in case of high inference demand, it can be good to increase compute-intensive layers presence and decrease low-compute layer presence. It could be done by assigning new instances or by rebalancing the cardinality of each layer (ie: keeping the same number of instances).\nBut in reality, the computing power of each instance must be taken into consideration to host the layer that suits better.\n\n\n## Scalable fine tuning\nAnother interesting property from this model distribution is the ability to apply fine tunings 1) without loading the whole model and 2) simultaneously.\n\nAs a reminder: fine tuning is to specialize a “general purpose trained model” (also named [Foundation models](https://en.wikipedia.org/wiki/Foundation_models)) by training over an ad-hoc dataset. For instance: fine tune an animal-detector model to make it a more precise cat-race-detector model.\n\nIn these circumstances we want to manipulate only specific layers, which is what Petals does. 1) Each ML engineer can handle a specific set of layers that fit in their local RAM, compute a forward pass based on a new dataset, then ask the other layer-instances to apply a backpropagation (without changing their original pretrained weights). 2) Each fine-tuning backpropagation result is versioned and stored on its respective instance, so there can be many ML engineers working on their task without interfering with each other. For such a system, storing data through [IPFS](https://ipfs.tech/) could be very efficient to reduce data redundancy.\n\n\n## Limitations \u0026 challenges\nPetals is an interesting step, but it came with many challenges:\nThere is no incentive / reward system for participants that would share their hardware for model inference.\n\n\nAs is, Petals provided model is already quantized, dividing the memory footprint per 2 from the original model, but still requires instances with at least a GPU with 8GB VRAM and 16GB of RAM. This optimization highly relies on the model architecture, if wisely done it could open the distributed inference to smaller devices with CPU or NPU (like Mac mini).\n\n\nIn the current approach, there is a high security concern about the peers inferring the first layers of the model. Indeed they could use the provided inputs to recover original input (which could be sensitive data, like health or financial). The current workaround is to limit the run of these first layers to trusted instances.\n\nTo manage last issue, there are privacy preserving inference (PPI) methods:\n\nOne is to apply an homomorphic encryption (HE) over the input data, apply the forward pass, then return the encrypted data. This approach is very secure however there are drawbacks: 1) increases the compute cost, 2) non-linear and pooling operations cannot be encrypted 3) and there is great loss of accuracy. The most recent research results on HE applied to LLM are looking to [encrypt the embedding layer](https://aclanthology.org/2022.naacl-main.231.pdf) (one of the first layer that typically converts a sentence to digits) instead of the input itself.\n\nAnother method called differential privacy (DP); consists in adding noise during training and inference (progressively or only at the end). This is an easy way to apply better protection over input data. However, after a certain number of inferences, the noise function could be reverse-engineered, which causes the re-training of the entire model… [This work](https://arxiv.org/pdf/2202.10717.pdf) aims at handling this issue by using Quantum computing, generating true noise from quantum particles (photons, atoms, …).\n\n\nIn practice, some public inference instances could be malicious and return incorrect outputs instead of the actual results of forward pass. Indeed, if there is no result-checking, why not just return a random result instead of a costly one? Even worse, an instance could return a wrong result in order to deliberately orient the next layer to -at the end- generate a desired output.\n\nTo verify that a computation is correctly done, researchers tend to apply Zero Knowledge Proof (ZKP). In that area, ML servers providing the inference result must also show a cryptographic proof of their computation, this proof must be checked by a trust party (the Verifier). Current works tend to reduce the ZKP cost to make it scalable. This field is quite new, you can find more resources on this upcoming topic [here](https://github.com/zkml-community/awesome-zkml).\n\n## Compute over data - sounds like a trend \n[Borzunov's](https://github.com/borzunov) work on Petals is actually anchored in a wider trend that arose in the 2020+, named Compute over Data. Their target is to **build a collaborative and decentralized way to share, manage and work on data**\n\n\nCompany like Balcalhau, Expanso, Fluence and Kamu are actively establishing the [Open Data Fabric](https://docs.kamu.dev/odf/) specifications to describe how to ingest, exchange and compute data -including Machine Learning- and store results in a distributed way.","createdAt":"2024-12-19T10:51:59.043Z","updatedAt":"2024-12-19T14:18:31.323Z","publishedAt":"2024-12-19T13:39:38.084Z","locale":"en","tags":"Large Language Models\nMachine Learning","popular":false,"articleOfTheMonth":false,"category":"Deploy","timeToRead":7,"excerpt":"Let's explore the challenges and solutions associated with the use of large language models (LLMs) in 2024, in particular the costs associated with inferring these models. ","author":"Valentin Macheret","h1":"Distributed ML model inference","createdOn":"2024-12-19","image":{"data":{"id":1635,"attributes":{"name":"MachineLearning-NotProduct-Illustration-Blog.webp","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Machine_Learning_Not_Product_Illustration_Blog_ff08084885.webp","hash":"large_Machine_Learning_Not_Product_Illustration_Blog_ff08084885","mime":"image/webp","name":"large_MachineLearning-NotProduct-Illustration-Blog.webp","path":null,"size":"311.05","width":1000,"height":618},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Machine_Learning_Not_Product_Illustration_Blog_ff08084885.webp","hash":"small_Machine_Learning_Not_Product_Illustration_Blog_ff08084885","mime":"image/webp","name":"small_MachineLearning-NotProduct-Illustration-Blog.webp","path":null,"size":"108.14","width":500,"height":309},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Machine_Learning_Not_Product_Illustration_Blog_ff08084885.webp","hash":"medium_Machine_Learning_Not_Product_Illustration_Blog_ff08084885","mime":"image/webp","name":"medium_MachineLearning-NotProduct-Illustration-Blog.webp","path":null,"size":"206.28","width":750,"height":464},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Machine_Learning_Not_Product_Illustration_Blog_ff08084885.webp","hash":"thumbnail_Machine_Learning_Not_Product_Illustration_Blog_ff08084885","mime":"image/webp","name":"thumbnail_MachineLearning-NotProduct-Illustration-Blog.webp","path":null,"size":"35.69","width":245,"height":152}},"hash":"Machine_Learning_Not_Product_Illustration_Blog_ff08084885","ext":".webp","mime":"image/webp","size":425.83,"url":"https://www-uploads.scaleway.com/Machine_Learning_Not_Product_Illustration_Blog_ff08084885.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-01-18T13:35:54.806Z","updatedAt":"2023-01-18T13:35:54.806Z"}}}},{"title":"Cracking the code: how Startups can overcome their biggest cloud challenge","path":"cracking-the-code-how-startups-can-overcome-their-biggest-cloud-challenge/","description":"Data sovereignty alludes to a nuanced mixture of normative concepts such as inclusive deliberation and recognition of the fundamental rights of data subjects. For startups, the path to growth is through the right technology decisions that can propel—or stymie—their progress. In this quest for innovation, a critical question arises: who should be entrusted with the management of data as sensitive as client files ? \n\n## When data becomes a vital issue\n\n[Jimini AI](https://www.jimini.ai), a French start-up developing AI technologies for law firms, faced these challenges head-on. Initially reliant on international cloud providers, the company recognized the risks involved, particularly concerning data sovereignty and compliance.\n\n“The data we handle is extremely sensitive and confidential. We chose Scaleway both for their GPU capabilities and because their infrastructure strictly complies with RGPD jurisdiction. If our data were to be exposed to American or Chinese players, it would mean the immediate loss of our customers' trust,” confides **Stéphane Béreux**, Co-founder and CTO, at **Jimini AI**.\n\n## Scaleway, the guarantor of digital sovereignty\n\nBetween the explosion of data, the multiplication of regulations and new customer expectations, law firms and legal departments are having to rethink their practices. This is where Scaleway, a pioneering player in the European sovereign cloud, comes in. Hosting legal data on a sovereign platform based in France, and therefore fully compliant with the **RGPD**, offers guarantees that international cloud giants can't match. Unlike non-European providers, subject to the US Cloud Act, **Scaleway ensures total data protection against foreign interference**.\n\nBy collaborating with Scaleway, Jimini AI has been able to develop ultra-targeted tools for legal professionals. Hosted on a robust, secure infrastructure, their solutions reduce the time spent on time-consuming administrative **tasks by up to 40%**, while increasing the accuracy of analyses.\n\nFor the case of [Spellz](https://spellz.ai), a French insurtech startup, the mission was simple on paper but daunting in reality: transform the insurance sector with AI while keeping regulators, customers, and CFOs happy. No pressure, right?\n\n## Data-driven innovation are driving a shift toward technology-first \n\nFounded in 2020, Spellz leverages AI to automate claims processing, risk assessments, and fraud detection. Its tools are designed to empower insurers to reduce operational costs and deliver a faster, more seamless experience to policyholders. However, early on, Spellz’s reliance on data-heavy AI models hit a snag ; their data, stored on a global cloud giant.\n\n## A match made in Cloud heaven\n\nScaleway offered the sovereignty Spellz needed—data staying firmly on European soil and away from foreign interference. Not to mention, through Scaleway’s AI Start-Up Program, **Spellz gained access to advanced GPU infrastructure optimized for AI workloads**, along with tailored support to facilitate the migration.\n\n## Why insurance needs a cloud overhaul\n\nIf you’ve ever filed an insurance claim, you know it’s not exactly the most thrilling experience. Spellz’s AI tools, hosted securely on Scaleway’s infrastructure, aim to change that. By automating repetitive tasks, the startup is slashing claims **processing times by up to 50%**. That’s good news for insurers and even better news for policyholders tired of waiting on hold.\n\n## Short-term cost efficiency or long-term flexibility\n\nAI startups like [Lucidia](https://www.lucidia.fr) thrive on data. Every model they build and every insight they generate depends on their ability to process vast amounts of information quickly and securely. Yet, scaling this kind of infrastructure requires more than technical ambition; it demands strategic decisions about where and how to store data, who can access it, and what happens when demand spikes unexpectedly. \n\nUnlike large enterprises, startups often lack in-house expertise to navigate complex cloud infrastructures. Dependable and responsive support can make or break operations, particularly during critical growth phases.\n\n## Finding a cloud infrastructure tailored to its specific needs\n\nIn the industrial sector, the data collected by Lucidia is highly sensitive. It encompasses critical information about clients’ machinery, processes, and production cycles. Any compromise in data sovereignty could jeopardize client trust and expose the company to regulatory risks.\n\nBy partnering with Scaleway, Lucidia found a provider guaranteeing **100% European data localization**. With Scaleway’s data centers located in France and powered by decarbonized energy, Lucidia not only complies with GDPR requirements but also strengthens its position as an ethical and responsible player.\n\n## More than a provider: a true partner\n\nWhat sets Scaleway apart, according to Lucidia, is its **deeply human approach** Through the Scaleway AI Startup Program, Lucidia has benefited from tailored support, including cloud credits, access to technical experts, and personalized guidance that goes beyond the typical client-provider relationship.\n\nThanks to Scaleway, Lucidia can now focus on what it does best: transforming industries through AI. As the company prepares to expand internationally, it knows it can rely on a sovereign, scalable infrastructure backed by a dedicated team of experts.\n\nThis collaboration highlights a growing trend in the European ecosystem: startups are seeking partners aligned with their values and specific needs.\n\n## In conclusion\n\nScaleway’s focus on data sovereignty, open standards, and tailored support directly addresses key challenges faced by startups in the current digital landscape. By providing a secure, flexible, and supportive environment, Scaleway empowers startups to navigate the complexities of cloud computing, fostering innovation and growth within a framework of regulatory compliance and technological independence.\n","createdAt":"2024-12-18T13:54:22.003Z","updatedAt":"2025-02-06T15:03:33.172Z","publishedAt":"2024-12-19T10:32:33.882Z","locale":"en","tags":"Startups\nSovereignty ","popular":false,"articleOfTheMonth":false,"category":"Build","timeToRead":6,"excerpt":"For startups, the path to growth is through the right technology decisions that can propel—or stymie—their progress. Many are quickly faced with major pain points answered by the cloud.","author":"Salomé Gonzalez","h1":"Cracking the code: how Startups can overcome their biggest cloud challenges","createdOn":"2024-12-18","image":{"data":{"id":4259,"attributes":{"name":"MulticloudStartups-Illustration-1280x720.png","alternativeText":null,"caption":null,"width":2560,"height":1440,"formats":{"large":{"ext":".png","url":"https://www-uploads.scaleway.com/large_Multicloud_Startups_Illustration_1280x720_e44ca04be0.png","hash":"large_Multicloud_Startups_Illustration_1280x720_e44ca04be0","mime":"image/png","name":"large_MulticloudStartups-Illustration-1280x720.png","path":null,"size":314.81,"width":1000,"height":563,"sizeInBytes":314808},"small":{"ext":".png","url":"https://www-uploads.scaleway.com/small_Multicloud_Startups_Illustration_1280x720_e44ca04be0.png","hash":"small_Multicloud_Startups_Illustration_1280x720_e44ca04be0","mime":"image/png","name":"small_MulticloudStartups-Illustration-1280x720.png","path":null,"size":112.98,"width":500,"height":281,"sizeInBytes":112981},"medium":{"ext":".png","url":"https://www-uploads.scaleway.com/medium_Multicloud_Startups_Illustration_1280x720_e44ca04be0.png","hash":"medium_Multicloud_Startups_Illustration_1280x720_e44ca04be0","mime":"image/png","name":"medium_MulticloudStartups-Illustration-1280x720.png","path":null,"size":202.6,"width":750,"height":422,"sizeInBytes":202598},"thumbnail":{"ext":".png","url":"https://www-uploads.scaleway.com/thumbnail_Multicloud_Startups_Illustration_1280x720_e44ca04be0.png","hash":"thumbnail_Multicloud_Startups_Illustration_1280x720_e44ca04be0","mime":"image/png","name":"thumbnail_MulticloudStartups-Illustration-1280x720.png","path":null,"size":38.37,"width":245,"height":138,"sizeInBytes":38365}},"hash":"Multicloud_Startups_Illustration_1280x720_e44ca04be0","ext":".png","mime":"image/png","size":249.53,"url":"https://www-uploads.scaleway.com/Multicloud_Startups_Illustration_1280x720_e44ca04be0.png","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2025-01-06T17:23:17.482Z","updatedAt":"2025-01-06T17:23:17.482Z"}}}},{"title":"How Golem.ai reduces cloud costs by managing Docker images stored on Kapsule nodes","path":"how-golemai-reduces-cloud-costs-by-managing-docker-images-stored-on-kapsule-nodes/","description":"In today’s economic context, agility and continuous improvement are essential drivers of success. Every organization, regardless of its mission, relies on a strong technological foundation, increasingly bolstered by artificial intelligence (AI) solutions. \n\nAs a key player in the French market, [Golem.ai](https://golem.ai/fr/) offers a range of products, spearheaded by **Inboxcare**, designed to optimize customer relations for businesses by integrating AI models to ensure fast and efficient processing of incoming messages. \n\nAs a Scaleway Cloud customer, [Golem.ai](https://golem.ai/fr/)'s infrastructure relies on managed services, including Kubernetes and managed databases. Kubernetes, as highlighted in recent reports from the [DoK community](https://dok.community/wp-content/uploads/2024/11/2024DoKReport.pdf), has established itself as a key tool for integrating AI solutions, thanks to its advanced workload orchestration capabilities and CI/CD pipeline automation. By optimizing the lifecycle of containers, central to this ecosystem, Kubernetes enables efficient and high-performing resource management.\n\nIn this article, we explore a method implemented by [Golem.ai](https://golem.ai/fr/) to optimize disk space on Kapsule, Scaleway's managed Kubernetes cluster solution. This practice is based on intelligent management of images in the underlying system, which operates with the Containerd runtime, and serves as a valuable recommendation for improving resource management in containerized environments. \n\n## Optimizing disk space and image lifecycle management in Kapsule\n\nAs a reminder, Kapsule users **have direct access to the file system, but it is not recommended to manipulate it, for example, by connecting to the node via SSH.** It is also important to consider that, for performance and application startup acceleration, especially in the context of Horizontal Pod Autoscaling through the use of KEDA, the container runtime will prioritize using images already present in the cache rather than downloading them from a [container registry](https://kubernetes.io/docs/concepts/containers/images/#image-pull-policy). This solution is also beneficial for increasing the availability of images in the event of a container registry incident. \n\nBut what should be done with images that remain stored on a node and gradually take up a significant percentage of disk space over time ? \n\nOne option could be to increase the disk space of block storage nodes to store more images. However, this solution would incur additional costs and operational risks for Golem.ai's production environment, all to host outdated and unnecessary images. \n\nAt [Golem.ai](https://golem.ai/fr/), the lifecycle management of images on nodes is automated through a process that lists and removes unused images after a certain period. This process interacts directly with the container runtime, Containerd, from a pod, as illustrated in this article. Its goal is to keep up with the fast-paced deployment schedule, with multiple production releases per day, which consumes several gigabytes of storage across our various environments. \n\nThis lifecycle management approach frees up disk space, prevents node saturation, optimizes resource usage and reduces the cloud cost, both budgetary and environmental, by reducing the carbon footprint — a common challenge in cluster management. \n\n## Automating image management in Kapsule clusters\n\nHere is an overview of a Kapsule cluster, consisting of the Control Plane (Master) and the nodes (Workers) on which the workloads are executed.\n\n\n\nThe container runtime (Containerd) used by [Golem.ai](https://golem.ai/fr/) on the Kapsule worker nodes applies a process of scanning images and removing those that do not comply with the lifecycle policy.\n\n\n\nDuring the scan performed every day at midnight, Golem.ai's cleanup process removes all unused images that were created more than 30 days ago\u003csup\u003e[1]\u003c/sup\u003e.\n\nThis operation applies only to images from Golem.ai's GitLab Registry or the backup Registry created on Scaleway Registry, which serves as a fallback solution in case of a GitLab Registry failure. \n\nTo do this, the cleanup process uses a volume mounted in the pod executing the scan, with the path on the host corresponding to the Containerd runtime socket, as well as two environment variables configured to allow the [crictl CLI](https://github.com/kubernetes-sigs/cri-tools), to communicate with this mounted socket. \n\n```yaml \nvolumes: \n- name: containerd \nhostPath: \npath: /var/run/containerd/containerd.sock \ntype: Socket \n-------- \nenv: \n- name: CONTAINER_RUNTIME_ENDPOINT \nvalue: unix:///var/run/containerd/containerd.sock \n- name: IMAGE_SERVICE_ENDPOINT \nvalue: unix:///var/run/containerd/containerd.sock \nvolumeMounts:\nhttps://kubernetes.io/docs/concepts/architecture/garbage-collection/#containers-images\n- name: containerd \nmountPath: /var/run/containerd/containerd.sock \n``` \n\nThe recurring task runs every day at midnight across all nodes of the different cluster pools, using a DaemonSet configured with a ConfigMap to properly set up the Cron job. \n\n```yaml \napiVersion: v1 \nkind: ConfigMap \nmetadata: \nname: imgcleanupcjcm \nnamespace: ops-tools \nlabels: \ncomponent: imgcleanup \ndata: \n# Removing unused images from registry.gitlab.com/golem-ai or rg.fr-par.scw.cloud, which is 30 days old. \ncronjobs: 0 0 * * * cd /tmp/ \u0026\u0026 bash imgcleanupscript.sh \n``` \n\nThe entire setup is available on Golem.ai's public GitHub. \n\nhttps://github.com/golem-ai/clean-docker-image-kapsule-scaleway \n\n## Results achieved through the implementation of this automated process\n\n\n\nA threefold increase in available storage on the Production and PreProduction machines, with no impact on client workflow processing: as shown in the image above, marked by the green line, the disk space increase is approximately 250 GB for all Production machines and 350 GB for PreProduction machines. \n\nIn the Staging environment, the result is even more noticeable, with a fourfold increase in freed storage space (the image below), allowing for the release of approximately 1 TB of disk space across all staging machines.\n\n\n\n## Conclusion\n\n[Golem.ai](https://golem.ai/fr/) benefits from an automated O\u0026M (Operational Maintenance) system, designed to efficiently serve its clients and development teams. This system enables significant savings in time and money across the entire value chain, while ensuring optimal processing of its clients' valuable workflows. \n\nThe approach described in this article is based on rigorously developed practices aimed at maximizing performance and efficiency—key elements for AI solutions. It not only meets the needs of businesses seeking high-performing infrastructures but also aligns with a broader commitment to sustainability and responsibility. \n\n\n\u003cu\u003eFor further reading :\u003c/u\u003e\n\n**Forsgren, Nicole, Jez Humble, and Gene Kim,** _Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations._ IT Revolution Press, 2018.\n\n_Data on Kubernetes 2024: Beyond Databases: Kubernetes as an AI Foundation,_ Research Report, November 2024 \n\n**Francisco Javier Campos Zabala,** _Grow Your Business with AI: A First Principles Approach for Scaling Artificial Intelligence in the Enterprise,_ Apress 2023\n\n**[1]** The method proposed in this article is complementary and is not part of the default Kubelet cleanup process. As of the publication date of this article, no stable version of Kubelet allows for configuring the cleanup of container images based on their creation date or their origin registry. [Source](https://kubernetes.io/docs/concepts/architecture/garbage-collection/#containers-images)","createdAt":"2024-12-04T13:44:24.724Z","updatedAt":"2024-12-10T16:59:37.098Z","publishedAt":"2024-12-05T09:41:16.507Z","locale":"en","tags":"Kapsule \nKubernetes \nDocker","popular":false,"articleOfTheMonth":false,"category":"Deploy","timeToRead":8,"excerpt":"Golem.ai, a key player in the French market, leverages AI-driven solutions like Inboxcare to enhance customer relations by enabling fast and efficient processing of incoming messages.","author":"Kevin Baude, Aleksandra Stanczak","h1":"How Golem.ai reduces cloud costs by managing Docker images stored on Kapsule nodes","createdOn":"2024-12-05","image":{"data":{"id":2951,"attributes":{"name":"Kubernetes-Kosmos-Card.webp","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Kubernetes_Kosmos_Card_0b59750ccc.webp","hash":"large_Kubernetes_Kosmos_Card_0b59750ccc","mime":"image/webp","name":"large_Kubernetes-Kosmos-Card.webp","path":null,"size":"572.11","width":1000,"height":618},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Kubernetes_Kosmos_Card_0b59750ccc.webp","hash":"small_Kubernetes_Kosmos_Card_0b59750ccc","mime":"image/webp","name":"small_Kubernetes-Kosmos-Card.webp","path":null,"size":"132.19","width":500,"height":309},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Kubernetes_Kosmos_Card_0b59750ccc.webp","hash":"medium_Kubernetes_Kosmos_Card_0b59750ccc","mime":"image/webp","name":"medium_Kubernetes-Kosmos-Card.webp","path":null,"size":"315.45","width":750,"height":464},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Kubernetes_Kosmos_Card_0b59750ccc.webp","hash":"thumbnail_Kubernetes_Kosmos_Card_0b59750ccc","mime":"image/webp","name":"thumbnail_Kubernetes-Kosmos-Card.webp","path":null,"size":"32.25","width":245,"height":152}},"hash":"Kubernetes_Kosmos_Card_0b59750ccc","ext":".webp","mime":"image/webp","size":335.63,"url":"https://www-uploads.scaleway.com/Kubernetes_Kosmos_Card_0b59750ccc.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-11-15T06:04:15.955Z","updatedAt":"2023-11-15T06:04:15.955Z"}}}},{"title":"The Cloud \u0026 Retail: Navigating the new MACH Era","path":"the-cloud-and-retail-navigating-the-new-mach-era/","description":"In 2024, the retail industry in Europe and beyond is evolving rapidly as retailers respond to shifting consumer behaviors and growing demands for personalized, seamless experiences. With increasing pressure to integrate omnichannel strategies and manage complex supply chains, many retailers are turning to [cloud solutions](https://www.scaleway.com/en/blog/the-cloud-and-retail-in-2024-and-beyond/) that offer both flexibility and scalability.\n\n\n## The Rise of MACH and Composable Commerce\n\nIn response to these challenges, new architectural approaches such as **MACH (microservices, API-First, Cloud Native and headless)** commerce systems have emerged. In these modern approaches, breaking monolithic architecture into independent microservices can allow it to be developed, deployed, and scaled independently. \n\n\n\n### Embracing Composable Commerce: Benefits and Flexibility\n\nLet us start by defining composable commerce as e-commerce functionalities that have been split up into discrete switchable components. It allows companies to “compose” an e-commerce stack on a case-by-case basis, based on business needs, switching out parts whenever a better solution becomes available. The underlying values are the MACH principles.\n\n\n\n### Benefits of composable commerce\n\n- **Scalability**: Each component can scale independently based on the demanded performance level, allowing one to optimize the resources being used. This applies even in those occasions when shopping peaks and major promotional events offer themselves\n- **More rapid impetus for innovation**: Services can be decoupled, so new and improved technologies can be introduced or unflattering ones replaced without remaking the entire architecture. This allows companies to accelerate their innovation pace and stay competitive\n- **Resilience**: Modular composition allows for the introduction of complete dissociation with composable commerce since in such composition, a breakdown of one part can get away from shutting down the whole system, improving reliability and uptime. \n\n## European Retailers Adopting MACH Architecture\n\nSeveral European retail giants are making bold moves towards MACH architecture. This transition reflects a broader industry trend: moving away from monolithic systems and toward more modular, scalable, and agile solutions.\n\nA prime example is **Carrefour**. By adopting MACH, Carrefour aims to enhance its ability to integrate new services such as AI-powered recommendations and real-time inventory management, while maintaining the flexibility to respond to market demands quickly. \n\nSimilarly, **OBI**, the German DIY retailer, has unified its sales across multiple channels by adopting MACH principles. OBI has integrated its e-commerce and in-store experiences through an API-driven approach - [source](https://www.ecommercemag.fr/Thematique/retail-1220/veille-internationale-2170/Breves/L-enseigne-allemande-de-bricolage-OBI-unifie-ses-ventes-en-460404.htm)). \n\n\n## Why European Retailers are Moving to MACH and Composable Commerce\n\n- **Increased Agility**: Retailers like OBI and Carrefour are turning to MACH to achieve greater agility. By decoupling various services, they can roll out new features like personalized promotions or real-time stock updates without overhauling their entire system\n- **Cost Efficiency**: Traditionally, monolithic applications require scaling the entire infrastructure when demand spikes. MACH allows retailers to scale only the components that need more resources. For instance, OBI can scale its inventory systems during seasonal sales periods without affecting the entire e-commerce platform\n- **Future-proofing the Business**: As European retail continues to move towards omnichannel strategies, MACH architectures enable businesses to integrate new channels quickly, such as mobile apps or in-store kiosks, and keep pace with evolving customer expectations.\n\n\n## How Scaleway Supports European Retail Transformation\n\nAs European retailers embrace MACH, they are seeking cloud providers that can support such agile, API-driven architectures. Scaleway’s [Kapsule](https://www.scaleway.com/en/kubernetes-kapsule/) Kubernetes service, combined with [Instances](https://www.scaleway.com/en/virtual-instances/), provides the flexibility and performance required for retailers looking to implement a MACH strategy. By leveraging Scaleway’s managed cloud services, companies can build, deploy, and manage microservices without worrying about the complexity of scaling their infrastructure.\n\nFor example, Scaleway’s cloud infrastructure allows European retailers to easily integrate AI-powered tools (like [Managed Inference](https://www.scaleway.com/en/inference/) or [Generative APIs](https://www.scaleway.com/en/generative-apis/)), personalized marketing campaigns, and real-time analytics, further enhancing their ability to provide a seamless omnichannel experience. By combining cloud-native services with a modular architecture, retailers can future-proof their operations and stay competitive in a constantly evolving market. \n\nScaleway provides a myriad of scalable cloud solutions which enable MACH or composable commerce approaches. The infrastructure allows companies to build fault-proof and high-performance e-commerce platforms in an effort to support the ever-demanding market of today. Supported by Scaleway, companies can more easily ensure agility, flexibility, and scalability and remain in the race for e-commerce. \n\n\n### Scaleway and the MACH Principles\n\n- **Microservices**: Deploy decoupled microservices in either Scaleway Kubernetes or containers, which means they can be independently scaled and updated for various functions of e-commerce, such as inventory management or user authentication\n- **API-First**: While Scaleway’s API-first architecture gives businesses the ability to create headless frontends for any touchpoint (mobile apps, web, voice assistants), the system allows integration with any back-end systems such as CRM, ERPs or PIMs\n- **Cloud-native**: Scaleway’s cloud-native services allow businesses to scale up or down based on demand without worrying about the underlying infrastructure\n- **Headless**: Scaleway services ensure omnichannel trips for businesses by decoupling frontend from backend, thanks to the headless CMS platform (for instance, Strapi) and headless eCommerce solutions (for instance, Sylius).\n\n\n\n### Implementing Headless and Composable Architecture with Scaleway's Ecosystem\n\nThe diagram below illustrates how to totally leverage Scaleway's cloud services to establish modern event-driven or headless architecture into scalable retail platforms, in a manner that decouples the frontend and backend for flexibility, scale, and performance optimized across different devices (web browser, smartphone, etc.).\n\n**Key Components include**: Frontend, Public Load Balancer, Virtual Private Cloud (VPC), Managed Database, Managed Redis, Public Gateway, Messaging and Queuing, Serverless Functions, Object Storage and CDN (Content Delivery Network). \n\n\n\n\n\n### MACH Implementation on Scaleway\n\n\n\n- **Scalability and multi cloud architecture**: Kubernetes Kapsule clusters provide the capability to scale microservices based on the demand in real time, and on any cloud provider within Kosmos clusters, which is particularly vital during peak shopping hours or when a product launches.\n- **Resilience**: By deploying independent microservices, system failures are isolated, minimizing the impact on other services.\n- **Cost Efficiency**: With Scaleway's flexible infrastructure (block volumes, serverless jobs, serverless functions and containers), businesses can optimize costs by scaling resources only when necessary.\n\nThis approach positions Scaleway as a key enabler of composable and MACH commerce for eCommerce businesses, supporting agility, scalability, and the freedom to choose the best tools and frameworks for each part of the system.\n\n\n## Conclusion: Scaleway as a Catalyst for the Future of E-commerce\n\nScaleway’s extensive range of cloud services supports the MACH principles, enabling businesses to build modern, scalable, and high-performance e-commerce platforms. By leveraging Scaleway’s infrastructure, businesses can adopt microservices, API-first, cloud-native, and headless architectures, ensuring agility, resilience, and innovation in their digital strategies. \n\n\n_This blogpost is an extract from Scaleway's MACH \u0026 retail ebook, coming soon!_\n","createdAt":"2024-11-27T10:18:58.730Z","updatedAt":"2024-11-29T13:10:36.350Z","publishedAt":"2024-11-27T10:24:35.594Z","locale":"en","tags":"Retail\nMACH","popular":false,"articleOfTheMonth":false,"category":"Build","timeToRead":4,"excerpt":"How are MACH (microservices, API-First, Cloud Native and headless) commerce systems changing retail today? Find out in this article!","author":"Youssoupha Sow","h1":"The Cloud \u0026 Retail: Navigating the new MACH Era","createdOn":"2024-11-27","image":{"data":{"id":3758,"attributes":{"name":"RetailEcommerce-Illustration-1920X1080.webp","alternativeText":null,"caption":null,"width":2560,"height":1440,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Retail_Ecommerce_Illustration_1920_X1080_432585c587.webp","hash":"large_Retail_Ecommerce_Illustration_1920_X1080_432585c587","mime":"image/webp","name":"large_RetailEcommerce-Illustration-1920X1080.webp","path":null,"size":"409.65","width":1000,"height":563,"sizeInBytes":760880},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Retail_Ecommerce_Illustration_1920_X1080_432585c587.webp","hash":"small_Retail_Ecommerce_Illustration_1920_X1080_432585c587","mime":"image/webp","name":"small_RetailEcommerce-Illustration-1920X1080.webp","path":null,"size":"119.42","width":500,"height":281,"sizeInBytes":217247},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Retail_Ecommerce_Illustration_1920_X1080_432585c587.webp","hash":"medium_Retail_Ecommerce_Illustration_1920_X1080_432585c587","mime":"image/webp","name":"medium_RetailEcommerce-Illustration-1920X1080.webp","path":null,"size":"238.48","width":750,"height":422,"sizeInBytes":441753},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Retail_Ecommerce_Illustration_1920_X1080_432585c587.webp","hash":"thumbnail_Retail_Ecommerce_Illustration_1920_X1080_432585c587","mime":"image/webp","name":"thumbnail_RetailEcommerce-Illustration-1920X1080.webp","path":null,"size":"37.73","width":245,"height":138,"sizeInBytes":61551}},"hash":"Retail_Ecommerce_Illustration_1920_X1080_432585c587","ext":".webp","mime":"image/webp","size":523.3,"url":"https://www-uploads.scaleway.com/Retail_Ecommerce_Illustration_1920_X1080_432585c587.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2024-06-14T16:34:34.247Z","updatedAt":"2024-11-27T10:17:35.130Z"}}}},{"title":"Which cloud model provides the most flexibility?","path":"which-cloud-model-provides-the-most-flexibility/","description":"Remember when all the word \"cloud\" meant was those fluffy, white things floating in the sky? Well now that cloud computing has entered the scene, the cloud has a whole new meaning! In today’s world, it is at the heart of many conversations. \n\nBusinesses rely on the cloud for almost everything, from hosting websites and storing data to running applications. But with so many options out there, one might not know where to begin! How do you decide which cloud model fits your needs? Public, private, hybrid, or multi-cloud? Each model offers a range of features that can impact your business’ operations and growth. \n\nIn this blog post, we'll break down what flexibility means in the world of cloud computing and help you navigate the pros and cons of each cloud model. \n\n\n## Defining flexibility in cloud infrastructure\n\nFirst things first, let’s define \"flexibility\" to make sure we are on the same page. \n\nIn cloud computing, flexibility is all about the cloud’s ability to adjust quickly to changing needs. Need extra storage and bandwidth to handle a sudden surge of traffic? No problem. Want to deploy the newest AI tools? With flexibility, it’s a walk in the park. In short, a flexible cloud setup is one that can easily adapt to your business needs without causing any hiccups.\n\nHere’s the catch, though: flexibility varies depending on specific needs. What works for a fast-scaling startup might not work for a company with strict compliance requirements. Your business goals, workloads, and even your industry play a huge part in determining which cloud model offers the right level of flexibility.\n\n\n## Breakdown of each cloud model\n\nNow that we’ve set the stage, let’s dive into the four main cloud models and see how they compare.\n\n### Public cloud \n\nThe public cloud offers maximum scalability, making it the go-to for businesses that want scalability without breaking the bank. Think of it as a shared apartment: cloud providers provide resources on a shared infrastructure, so you pay less because you’re splitting the resources with others. \n\nThis model is great for handling unpredictable traffic spikes or rapid growth. But on the flip side, you’re handing over a lot of control to the provider. That means customization and security options may be limited, especially if your business has specific compliance needs. \n\n### Private cloud \n\nThe private cloud is like owning your own house: you can customize it however you want. You get total control over your data and infrastructure, making it perfect for industries with strict regulatory requirements or sensitive information. \n\nHowever, it’s important to note that private clouds aren’t as scalable or cost-efficient as public ones. They’re best suited for businesses that prioritize security and customization over rapid expansion. \n\n### Hybrid cloud\n\nTorn between public and private? You can get the best of both worlds with the hybrid model. A hybrid cloud lets you combine the two, giving you the flexibility to run sensitive workloads in a private environment while leveraging the scalability of the public cloud when you need it. This cloud model is ideal for companies that need a little of everything. But keep in mind that the complexity of managing and securing data across multiple infrastructures can be a challenge.\n\n### Multi-cloud\n\nA major advantage of the multi-cloud model is that it helps avoid vendor lock-in. Vendor lock-in is when a business becomes too dependent on a single provider’s technology, making it difficult or expensive to switch to another cloud provider. \n\nBy leveraging multiple cloud model providers, businesses can maintain flexibility, and ensure that they’re not stuck with a single vendor if better options become available or if their needs evolve. \n\nWhile this sounds great in theory, juggling multiple cloud model providers and ensuring consistent security and compliance adds a layer of complexity you need to be aware of.\n\n\n## Comparing the cloud models: flexibility vs. control\n\nStill unsure which model suits your business? The table below breaks down the four main models based on flexibility, scalability, control, cost efficiency, and complexity.\n\n## Considerations for CTOs: choosing the right model\n\nChoosing the right cloud model isn’t just about ticking boxes: it’s about finding the solution that aligns with your cloud strategy, business goals, technical requirements, and future aspirations. The key factors below can help guide your decision-making process:\n- Business requirements: What does your business need? (Performance, compliance, customization, etc.)\n- Data sensitivity: How sensitive is your data, and do regulatory constraints apply?\n- Workload characteristics: Assess how predictable or variable your workloads are.\n- Cost considerations: Take the total cost of ownership, including infrastructure, maintenance, and potential integration costs into consideration.\n\n\n### Questions CTOs should ask:\n\nThe questions below can further help you consider both technical and business-oriented factors, making your decision more strategic and practical.\n\n#### Which workloads require the most flexibility?\nWorkloads like customer-facing applications often demand the most flexibility. These workloads benefit from public cloud scalability or a multi-cloud setup to adjust resources on demand.\n\n#### How critical is maintaining control over data security and compliance?\nIf your business operates in a heavily regulated industry such as healthcare or finance, control over data security and compliance is essential. A private or hybrid cloud is likely the best fit, as it allows you to maintain strict oversight while still leveraging some scalability from public cloud options.\n\n#### Can my team manage the complexity of hybrid or multi-cloud solutions?\nManaging hybrid or multi-cloud environments typically requires advanced skills in integration, monitoring, and security across platforms. If your team lacks experience, investing in training or managed services may be necessary.\n\n#### What are your projected growth and scalability needs in the next 3-5 years?\nIf your business anticipates rapid growth or fluctuating demand, a public or hybrid cloud model offers high scalability to meet those needs. However, if your growth is steady and predictable, a private cloud might provide a more cost-effective solution.\n\n\n## So, which cloud model is right for you? \n\nAt the end of the day, choosing the right cloud model is less about picking the \"best\" one and more about finding the one for you. Each model comes with its own perks and trade-offs. \n\nAs you weigh your options, remember to evaluate factors like your workloads’ demands, data security needs, scalability goals, and your team’s capacity to manage complexity.\nThe beauty of cloud computing is how easily it can adjust as your business grows, so don’t be afraid to experiment and refine your approach. With the right cloud model in place, your business will be ready for whatever challenges (and opportunities!) that come up.\n","createdAt":"2024-11-27T15:44:32.968Z","updatedAt":"2025-02-06T15:07:30.634Z","publishedAt":"2024-11-27T15:53:12.932Z","locale":"en","tags":"Public cloud\nPrivate cloud\nHybrid cloud","popular":false,"articleOfTheMonth":false,"category":"Build","timeToRead":5,"excerpt":"With so many cloud options out there, one might not know where to begin! How do you decide which cloud model fits your needs? Public, private, hybrid, or multi-cloud? 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What is a cloud service provider?","path":"what-is-a-cloud-service-provider/","description":"A cloud service provider (CSP) is a company that offers computing services on the internet, also known as the cloud. These services can be divided into three categories: **Infrastructure as a Service** (IaaS), **Platform as a Service** (PaaS), and **Software as a Service** (SaaS).\n\nAmongst the products and services offered by cloud providers are virtual machines, storage, networking solutions, and applications, but the possibilities go way beyond that, and allow businesses to manage resources with no need to own or maintain physical hardware themselves. The variety of services enables scalability, cost efficiency, and security no matter what your needs are.\n\nThis blog post will walk you through the main characteristics of a cloud service provider, its benefits, tips to help you identify if you require one, and what to look out for when choosing between the available offers.\n\n## What is the difference between traditional cloud services and cloud MSPs?\n\nBefore diving into details, let’s take a look at the main differences between traditional cloud services and cloud managed services providers (MSPs):\n\nAs you can see, the choice will depend on your preferences and needs, as each model will contain different offers of control and access and require different levels of expertise from you.\n\nRead on to learn more about the specificities of managed cloud service providers and their benefits for your business.\n\n\n## How managed cloud service providers can improve the performance and security of your business\n\nWe can think of managed cloud service providers (MSPs) as a third-party IT department of your business, offering you expert management, proactive monitoring, and tailored solutions. This means no longer having to deal with coming up with security and performance prevention strategies.\n\nCloud MSPs have a wide range of solutions to optimize your resource consumption, managing and monitoring potential threats and outages, all while keeping your data secure thanks to robust safety measures.\n\nShall we now look at the available cloud service models and their use cases?\n\n\n## The 3 different cloud service models\n\nAs we have said before, cloud services are commonly split into Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The main differences between them revolve around the level of control and the type of resources they provide:\n\n### Infrastructure as a Service (IaaS)\nProvides virtualized computing resources such as servers, storage, networking, and [virtual machines](https://www.scaleway.com/en/virtual-instances/). This model saves time and money on physical hardware and allows for scalability and flexibility.\n\nLevel of control: maximum control over the infrastructure, meaning responsibility for managing the operating system, applications, updates, and maintenance.\nUse cases: web hosting, building test and development environments, high-performance computing, and enterprise applications.\n\n### Platform as a Service (PaaS)\nHere, your provider offers a development platform that includes hardware, operating systems, storage, and networking, as well as tools and frameworks to develop, test, and deploy applications.\n\nLevel of control: limited control over the infrastructure, but usually some access to application and configuration settings, especially related to the deployment environment.\nUse cases: software creation, development of mobile or web applications, automation, and data analytics.\n\n### Software as a Service (SaaS)\nSaaS provides fully developed software applications where your provider handles the entire infrastructure, platform, software, updates, security, and maintenance.\n\nLevel of control: very limited to no control over the infrastructure or platform, and you can typically customize only minor application settings.\nUse cases: accessing applications like email servers, CRM tools, office suites, collaboration tools, and project management software.\n\n\nThe choice of model will depend on your needs and expectations, with IaaS offering a lot of flexibility, PaaS being ideal for simplifying app development, and SaaS providing fully functional software that requires little technical knowledge.\n\n\n## 5 roles of cloud service providers\n\nBefore narrowing down your choices, you should know what are the roles and responsibilities of a cloud managed service provider:\n\n#### 1. Monitoring\nYour cloud provider should offer continuous tracking and analysis of your services’ performance, health, and security, as proactive monitoring enables early identification of potential issues before they impact your operations.\n\n#### 2. Cost optimization\nLook for providers that offer resources to help you efficiently manage and adjust consumption. Features like auto-scaling and budgeting tools make it easy to avoid unnecessary costs.\n\n#### 3. Security\nIt is your MSP’s role to help you stay protected from unauthorized access, cyber threats, and data breaches. They do so through encryption, firewalls, identity and access management (IAM), and other security features.\n\n#### 4. Backup\nData loss can severely impact operations, so choose a cloud provider with robust solutions to prevent and recover from such issues. Effective backup solutions include automated backups, redundancy across different geographic locations, and versioning.\n\n#### 5. Disaster recovery\nDisaster recovery solutions allow you to minimize downtime and restore critical IT systems, applications, and data in case of hardware failures or cyberattacks, for example.\n\nThese five items have a major impact on the security and reliability of your cloud infrastructure. Take your time evaluating them and find a cloud provider who meets all the requirements for a smooth experience.\n\n\n## Now, why should you have a managed cloud service provider?\n\nWhether you are a new business who can’t yet hire a dedicated IT team or want to dedicate less time to the technical aspects of your infrastructure, an MSP can offer you several immediate and long-term benefits:\n\n### Key advantages to using a cloud service provider\n\n- **Cloud expertise**: Rely on your provider’s team of experts to handle your architecture, security, and management 24/7\n- **Cost optimization**: Use resources efficiently with MSPs’ flexible pricing and pay-as-you-go model, adjusting resources to reflect your real needs and scaling them up as you grow.\n- **Security and compliance**: Minimize the risk of intrusions and potential breaches, and comply with industry regulations\n- **Scalability**: Adapt your infrastructure according to your demand, tailoring your services and expenses to your needs\n- **Proactive monitoring**: Anticipate potential performance issues or threats and easily adjust your offer and usage to the current traffic, avoiding downtime and outages\n- **Disaster recovery**: Have a clear plan to deal with disasters, ensuring your production is safeguarded.\n\nThese are only some advantages of partnering with a cloud MSP. With the right company, you can have expert cloud management, cost optimization, and enhanced security and regulatory compliance, all while reducing the complexity of managing a cloud infrastructure.\n\n\n## Scaleway, one of the safest cloud providers in Europe\n\nRegarding safety, between compliance, certifications, and security features, Scaleway has everything you need to lead your business with tranquility.\n\nScaleway ensures that your data is stored in compliance with the **General Data Protection Regulation** (GDPR). We also help you keep your Organization secure with [Identity and Access Management](https://www.scaleway.com/en/iam/) (IAM), which you can use to apply fine-grained role-based access controls to regulate access of internal or external collaborators.\n\nFor companies requiring more strict security, Scaleway is **ISO/IEC 27001** and **HDS** certified, ensuring you are equipped with the highest possible standards for data handling.\n\nThe physical integrity of our data centers is also guaranteed thanks to several measures, such as 24/7 security staff presence, video surveillance systems, alarms, fire prevention, and other risk management initiatives.\n\n[Learn more about our safety measures, certifications, and compliance policies.](https://www.scaleway.com/en/security-and-resilience/)\n\n\n## 7 reasons to choose Scaleway as your cloud provider \n\nYou already know everything to look out for when choosing a cloud provider. Now, let us show you why Scaleway might be the ideal choice for you:\n\n**1. Compliance and sovereignty** \nAs you’ve seen above, if data privacy and safety are your priorities, rest assured with Scaleway’s commitment to security up to the most demanding standards. \n\n**2. Transparent and competitive pricing**\nAt Scaleway, clear and fair pricing is one of our biggest concerns. This is why we operate on a pay-as-you-go model, allowing you to predict expenses and control your budget.\n\n**3. Sustainability**\nWith sustainability at heart, Scaleway has many [environmental initiatives](https://www.scaleway.com/en/environmental-leadership/) in place, such as data centers powered by renewable energy, low water consumption, and prolonged component usage.\n\n**4. Scalability and flexibility**\nEnjoy flexible options to scale your services up and down as you need, optimizing your costs and adapting your offer to changing demands.\n\n**5. Multi-cloud integration**\nScaleway supports multi-cloud strategies for you to get the most out of each service with freedom and ease.\n\n**6. Solid product documentation**\nYou can count on a complete [product documentation](https://www.scaleway.com/en/docs/) with quickstart guides, how-tos, FAQs, tutorials, additional content, and more to guide you through each step of your Scaleway journey.\n\n**7. AI leadership**\nScaleway has innovation at heart and is one of the biggest players in the artificial intelligence market. Not only does our product catalog offer the most recent releases, but we have created a dedicated event, [AI Pulse](https://www.ai-pulse.eu/), to push the industry boundaries.\n\n\nIn short, if you are looking for a provider who offers you transparent pricing, high performance, and scalability while remaining sustainable and compliant with privacy protection measures, Scaleway is the right choice for you.\n\n\n## After all, do you need a cloud service provider?\n\nThe short answer is that anyone could benefit from a cloud service provider. From small businesses to large enterprises, cloud services are versatile and can solve the most diverse needs.\n\nFor startups, being able to adjust resource usage and having access to flexible billing help keep their operations cost-efficient. Tech companies benefit from development and testing environments that speed up application delivery and e-commerce can keep a scalable cloud storage that simplifies data and inventory management and supports traffic spikes during peak seasons.\n\nIndustries with strict data requirements, such as healthcare, financial services, and the public sector, gain secure data storage and compliance support from cloud providers.\n\n\n## In conclusion\n\nCloud service providers can be part of a winning strategy for any company, no matter their size or field of activity. By partnering up with a serious company and establishing clear goals and needs, you can profit from their expertise to offload technical concerns and have more time and funds to keep growing your business.\n\nIn addition to more predictable and efficient costs, a cloud provider can help you easily scale your services, anticipate, prevent, and solve issues, and offer your customers the most recent technological innovations.\n","createdAt":"2024-11-27T16:22:31.953Z","updatedAt":"2024-11-29T13:29:34.961Z","publishedAt":"2024-11-27T16:24:35.068Z","locale":"en","tags":"Cloud Service Provider\nCSP","popular":false,"articleOfTheMonth":false,"category":"Build","timeToRead":6,"excerpt":"A cloud service provider (CSP) is a company that offers computing services on the internet, also known as the cloud. But which one to choose? Find out...","author":"Jessica Cirino","h1":" What is a cloud service provider?","createdOn":"2024-11-27","image":{"data":{"id":3577,"attributes":{"name":"Brand-Keyvisual-Variant.webp","alternativeText":null,"caption":null,"width":1500,"height":844,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Brand_Keyvisual_Variant_9af7495e3b.webp","hash":"large_Brand_Keyvisual_Variant_9af7495e3b","mime":"image/webp","name":"large_Brand-Keyvisual-Variant.webp","path":null,"size":"341.76","width":1000,"height":563,"sizeInBytes":50816},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Brand_Keyvisual_Variant_9af7495e3b.webp","hash":"small_Brand_Keyvisual_Variant_9af7495e3b","mime":"image/webp","name":"small_Brand-Keyvisual-Variant.webp","path":null,"size":"120.44","width":500,"height":281,"sizeInBytes":17502},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Brand_Keyvisual_Variant_9af7495e3b.webp","hash":"medium_Brand_Keyvisual_Variant_9af7495e3b","mime":"image/webp","name":"medium_Brand-Keyvisual-Variant.webp","path":null,"size":"226.58","width":750,"height":422,"sizeInBytes":32934},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Brand_Keyvisual_Variant_9af7495e3b.webp","hash":"thumbnail_Brand_Keyvisual_Variant_9af7495e3b","mime":"image/webp","name":"thumbnail_Brand-Keyvisual-Variant.webp","path":null,"size":"35.46","width":245,"height":138,"sizeInBytes":5966}},"hash":"Brand_Keyvisual_Variant_9af7495e3b","ext":".webp","mime":"image/webp","size":611.3,"url":"https://www-uploads.scaleway.com/Brand_Keyvisual_Variant_9af7495e3b.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2024-05-29T13:16:53.834Z","updatedAt":"2024-05-29T13:42:26.363Z"}}}}],"popularPosts":[{"title":"Big, Efficient, Open: The AI Future We Saw Coming","path":"big-efficient-open-the-ai-future-we-saw-coming/","description":"\nLast November, at ai-PULSE, we told you where AI was heading: big, efficient, and open. Fast forward to last week’s AI Action Summit, and we saw it all play out in real time.\n \n## Big: Scaling Up for the AI Era\n\nAI needs infrastructure. That’s not news to us at Scaleway, but it’s now a message backed by serious commitments. French President Emmanuel Macron announced a €109 billion investment to reinforce Europe’s AI capabilities.\n\nWe’re doing our part. The iliad Group announced a massive [€3 billion investment](https://www.iliad.fr/en/actualites/article/the-iliad-group-is-investing-3-billion-in-ai) to build out the future of AI infrastructure. Our goal is to make sure Europe has the compute power to compete at the highest level. Because you need to reach a critical size to succeed in AI.\n\n\n\nScaleway was the first European cloud provider to invest in [GPU clusters](https://www.scaleway.com/en/custom-built-clusters/) back in 2023. That early move paid off: we still have one of the biggest pools in Europe and some of the best models today were trained on our infrastructure. But being first isn’t always easy. Staying ahead means constant innovation, and we’re working hard to ensure our compute, network, and storage remain fast, reliable, and built for the future.\n\nWe’re not stopping here. Our 2025 roadmap is ambitious: we want to make access to large-scale compute easier than ever. AI’s future depends on [solid infrastructure](https://www.scaleway.com/en/cluster-on-demand/), and we’re building it.\n\n## Efficient: Doing More with Less\n\nEven before the AI Action Summit, DeepSeek stole the show by proving that AI can be smarter, not just bigger. And at the summit itself, Kyutai showed why efficiency matters. Their [Hibiki model](https://kyutai.org/2025/02/10/hibiki.html) is a voice-to-voice AI translation system that can run directly on a smartphone. It is a perfect example of what happens when a team of smart people focuses on efficiency.\n\nIndeed, raw power isn’t everything. If we were in Asimov’s Foundation series, Europe wouldn’t be the Empire flexing its might. We’d be the Foundation, outthinking the competition. In complex systems, smart always beats big.\n\nAnd let’s be real: Europe isn’t ignoring the climate crisis. Growth needs to be smart. France has one of the cleanest energy mixes in the world, thanks to nuclear power. That means AI models trained on French infrastructure have a lower carbon footprint than most alternatives.\n\n\n\nAt Scaleway, we don’t just talk about efficiency. We track it. That’s why we launched the first version of our [Environmental Footprint Calculator](https://www.scaleway.com/en/environmental-footprint-calculator/). In 2025, we’ll keep expanding it, giving users clearer insights into the impact of the technology they use. Knowing your footprint matters. It helps you make smarter choices.\n\n## Open: AI in an Uncertain World\n\nThe AI Action Summit also made one thing clear: we live in unpredictable times. Yesterday’s allies might not be tomorrow’s. That’s why openness matters more than ever.\n\nOpen source is our best safeguard against uncertainty. It lets you control your future. And it also keeps innovation accessible to all. Because open source is about giving back. India’s role as co-chair of the summit reminds us that AI shouldn’t just serve a select few. It should benefit everyone, everywhere.\n\nFor Scaleway, open source is the best way to keep our clients in control, not locked in. We believe in giving choices and alternatives. That’s why, when we built our Generative APIs, we set ourselves a strict rule: make it compatible with OpenAI’s API. The result? Anyone can switch to the [open-weight models](https://www.scaleway.com/en/generative-apis/) we provide by changing a single line of code.\n\n\n\nOpen source isn’t going anywhere. Thanks to the battle for talent, state-of-the-art open-weight models will keep emerging in 2025. The best contributors don’t want to build behind closed doors. They want to share their work with the world. They want to be on the right side of history, as [Sam Altman](https://www.vice.com/en/article/openai-ceo-sam-altman-says-theyve-been-on-the-wrong-side-of-history/) would say.\n\nAt Scaleway, we’re all in. We’ll keep deploying the latest and greatest open-weight models, ensuring that you stay in control.\n\n## 2025: The AI Playbook Remains the Same \n\nBig. Efficient. Open. If the AI Action Summit confirmed anything, it’s that these three principles will continue to define AI in 2025.\n\nWant to see what’s next? Mark your calendar for November 18th, because [ai-PULSE](https://www.ai-pulse.eu) will be back. And we’re just getting started.\n","createdAt":"2025-02-19T13:21:36.061Z","updatedAt":"2025-02-21T08:56:29.450Z","publishedAt":"2025-02-19T16:12:41.378Z","locale":"en","tags":"ai-PULSE\nAI Action Summit\n","popular":true,"articleOfTheMonth":true,"category":"Build","timeToRead":4,"excerpt":"Last week's AI Action Summit highlighted key principles shaping the future of AI: Big, Efficient, and Open. Read the full article for an inside look at the event and insights about it.","author":"Frédéric Bardolle","h1":"Big, Efficient, Open: The AI Future We Saw Coming","createdOn":"2025-02-19","image":{"data":{"id":4355,"attributes":{"name":"slack-imgs.jpg","alternativeText":null,"caption":null,"width":720,"height":480,"formats":{"small":{"ext":".jpg","url":"https://www-uploads.scaleway.com/small_slack_imgs_eb15652f7e.jpg","hash":"small_slack_imgs_eb15652f7e","mime":"image/jpeg","name":"small_slack-imgs.jpg","path":null,"size":46.06,"width":500,"height":333,"sizeInBytes":46063},"thumbnail":{"ext":".jpg","url":"https://www-uploads.scaleway.com/thumbnail_slack_imgs_eb15652f7e.jpg","hash":"thumbnail_slack_imgs_eb15652f7e","mime":"image/jpeg","name":"thumbnail_slack-imgs.jpg","path":null,"size":12.15,"width":234,"height":156,"sizeInBytes":12151}},"hash":"slack_imgs_eb15652f7e","ext":".jpg","mime":"image/jpeg","size":82.37,"url":"https://www-uploads.scaleway.com/slack_imgs_eb15652f7e.jpg","previewUrl":null,"provider":"aws-s3","provider_metadata":null,"createdAt":"2025-02-20T15:28:22.024Z","updatedAt":"2025-02-20T15:28:22.024Z"}}}},{"title":"What Is a Document Database? A Comprehensive Guide","path":"what-is-a-document-database-a-comprehensive-guide/","description":"The ever-changing landscape of data management has given rise to a new era of database technology. Document databases in particular were designed to better handle the vast amounts of semi-structured and unstructured data generated by modern products and applications and to keep pace with the growing volume and variety of data that demands flexible, scalable, and fast processing.\n\nIn this article, we’ll dive into what document databases are, how they work, and why they’ve become a preferred solution for managing complex data, offering flexibility that traditional databases struggle to provide.\n\n## A brief history of databases: from relational to document databases\n\nRelational databases, the backbone of data storage since the 1970s, were designed for structured data. Built on a fixed schema, they efficiently organize data into rows and columns, enabling easy querying and analysis. However, as the types of data businesses generate have evolved—think images, videos, and IoT data—so too have the demands placed on databases. \n\nThe rise of NoSQL databases in the early 2000s offered a solution to these new demands by providing flexible, schema-less architectures capable of storing vast amounts of unstructured data. Among these NoSQL options, document databases have emerged as a versatile tool that can adapt to the complexity and scale of modern data workloads.\n\n### Back to basics: what is a document database?\n\nA document database is a type of NoSQL database that stores data in document-like structures, most commonly using JSON or BSON formats. Each document represents a record, and within these documents, data is organized as key-value pairs, with the ability to nest arrays and objects. \n\nThe beauty of document databases lies in their flexibility. Unlike relational databases, which require data to fit into predefined schemas, document databases allow data to be stored in its original, often messy form. This makes them ideal for managing unstructured or semi-structured data **without requiring significant reformatting or processing**.\n\n## Structured vs. unstructured data\n\nData generally falls into two categories: structured and unstructured.\n\n- **Structured data** fits neatly into predefined formats, such as spreadsheets or relational databases\n- **Unstructured data**, on the other hand, doesn’t conform to a specific model. Examples include images, audio files, videos, and social media posts—types of data that relational databases struggle to handle efficiently.\n\nDocument databases bridge this gap by offering a flexible schema. This means you can store various types of data—whether structured, semi-structured, or unstructured—in their natural form, without having to alter or standardize them.\n\n## How document databases work\n\nIn a document database, each document is self-contained, meaning the structure of one document can differ significantly from the next. These databases are highly adaptable because they allow changes to be made on the fly, without the need for complex schema migrations.\n\n- **Flexible schema**: new fields can be added to documents at any time, providing agility in development and reducing the operational burden.\n- **Variety of formats**: multiple data formats can be stored **within the same collection**, enabling you to manage diverse data types together.\n\nThis architecture makes document databases** highly scalable** and** easy to maintain**, especially in applications where data is continuously changing or evolving.\n\n## Benefits of document databases\n\n**Reduced operational overhead**\nTraditional relational databases often require extensive data transformation to fit structured schemas, which can be labor-intensive and time-consuming. Document databases eliminate much of this overhead by allowing data to be stored in its original format, cutting down on reformatting efforts and freeing up resources to focus on more valuable tasks.\n\n**Improved agility**\nDocument databases’ flexible schema design enables rapid iterations and updates without the need for complex schema alterations. This allows teams to ship new features faster and adjust data models as business needs evolve, fostering greater agility in product development.\n\n**Performance**\nWhen it comes to performance, document databases have a distinct advantage in handling hierarchical data. By storing all relevant information within a single document, these databases are able to retrieve and manipulate data with greater efficiency. In contrast, relational databases often require the use of joins to gather related data, resulting in increased read and write latency. This fundamental difference in architecture enables document databases to deliver faster and more responsive performance, making them an attractive choice for applications that rely on complex, hierarchical data structures.\n\n## Use cases: when to choose a document database\n\nDocument databases are best suited in scenarios where data is **unpredictable, unstructured**, or **subject to rapid change**. Here are some common use cases where document databases are the better option:\n\n**Internet of Things (IoT)**\nIoT devices produce a continuous stream of data, often in different formats. Document databases can store this data as-is, enabling real-time processing and analysis without the need for data standardization.\n\n\n**Content Management Systems**\nData is often semi-structured and constantly evolving. By storing content, metadata, and related information in a single document, CMS platforms can efficiently manage and retrieve complex data sets, such as articles, blogs, and user profiles. This flexible data model enables developers to adapt to changing content requirements, while also providing fast and scalable performance, making it an ideal choice for large-scale content management applications.\n\n**E-commerce product catalogs**\nDocument databases allow for efficient storage and retrieval of complex product information, including descriptions, pricing, inventory, and customer reviews. By storing all product data in a single document, e-commerce platforms can quickly retrieve and update product information, reducing latency and improving the overall shopping experience. Additionally, document databases can handle large volumes of product data, making them an ideal choice for large-scale e-commerce applications with extensive product catalogs.\n\n**Mobile and web applications**\nThey often require flexible data models to accommodate changing user behavior, new features, and evolving business requirements. Document databases are well-suited for these applications, allowing developers to store and manage complex, semi-structured data in a flexible and adaptable way. By using a document database, developers can quickly iterate and refine their data models, adding new fields, documents, or collections as needed, without the need for costly and time-consuming schema changes, making it an ideal choice for agile development teams and fast-paced application development environments.\n\n## Relational vs. non-relational: how to choose the right database for your needs\n\nWhen evaluating database options, the primary consideration is often the specific needs of the application or use case. For applications where data consistency and integrity are paramount, and complex querying and reporting are essential, relational databases are the preferred choice. Their robust support for transactions, constraints, and joins ensures that data remains accurate and reliable, making them well-suited for applications that require strict data governance and compliance.\n\nOn the other hand, document databases are the ideal choice for applications that require flexibility, speed, and the ability to handle unstructured or semi-structured data. Their flexible schema and high-performance data retrieval capabilities make them perfect for building lightning-fast applications that require rapid data ingestion and processing. Additionally, document databases can efficiently handle large volumes of unstructured data, such as text, images, and videos, making them a popular choice for big data and real-time analytics applications.\n\n**Document databases for the modern data landscape**\n\nDocument databases offer a powerful, flexible solution for managing today’s data complexities. By allowing you to store unstructured and semi-structured data in its natural form, they eliminate the need for time-consuming data reformatting, reduce operational overhead, and increase agility in development.\n\nIf your organization is grappling with the challenges of handling growing data volumes, adopting a document database could be the key to unlocking more efficient data management and faster innovation. \n\nLearn more about our [Managed MongoDB®](https://www.scaleway.com/en/managed-mongodb/) database to discover how it can help streamline your data processes, cut costs, and accelerate your business growth.","createdAt":"2025-02-12T09:23:43.712Z","updatedAt":"2025-02-19T16:21:01.797Z","publishedAt":"2025-02-12T09:32:11.606Z","locale":"en","tags":"Managed MongoDB\nDocument\nDatabase","popular":true,"articleOfTheMonth":false,"category":"Build","timeToRead":3,"excerpt":"Discover the power of document databases, their benefits and use cases, in managing complex, semi-structured, and unstructured data. ","author":"Névine Ismael et Walter Timmermans","h1":"What Is a Document Database? A Comprehensive Guide","createdOn":"2025-02-12","image":{"data":{"id":1517,"attributes":{"name":"Documentation-DevAPI-Illustration-Blog.webp","alternativeText":null,"caption":null,"width":1216,"height":752,"formats":{"large":{"ext":".webp","url":"https://www-uploads.scaleway.com/large_Documentation_Dev_API_Illustration_Blog_9121e48399.webp","hash":"large_Documentation_Dev_API_Illustration_Blog_9121e48399","mime":"image/webp","name":"large_Documentation-DevAPI-Illustration-Blog.webp","path":null,"size":"314.98","width":1000,"height":618},"small":{"ext":".webp","url":"https://www-uploads.scaleway.com/small_Documentation_Dev_API_Illustration_Blog_9121e48399.webp","hash":"small_Documentation_Dev_API_Illustration_Blog_9121e48399","mime":"image/webp","name":"small_Documentation-DevAPI-Illustration-Blog.webp","path":null,"size":"111.41","width":500,"height":309},"medium":{"ext":".webp","url":"https://www-uploads.scaleway.com/medium_Documentation_Dev_API_Illustration_Blog_9121e48399.webp","hash":"medium_Documentation_Dev_API_Illustration_Blog_9121e48399","mime":"image/webp","name":"medium_Documentation-DevAPI-Illustration-Blog.webp","path":null,"size":"208.66","width":750,"height":464},"thumbnail":{"ext":".webp","url":"https://www-uploads.scaleway.com/thumbnail_Documentation_Dev_API_Illustration_Blog_9121e48399.webp","hash":"thumbnail_Documentation_Dev_API_Illustration_Blog_9121e48399","mime":"image/webp","name":"thumbnail_Documentation-DevAPI-Illustration-Blog.webp","path":null,"size":"37.40","width":245,"height":152}},"hash":"Documentation_Dev_API_Illustration_Blog_9121e48399","ext":".webp","mime":"image/webp","size":424.2,"url":"https://www-uploads.scaleway.com/Documentation_Dev_API_Illustration_Blog_9121e48399.webp","previewUrl":null,"provider":"@website/strapi-provider-upload-scaleway-bucket","provider_metadata":null,"createdAt":"2023-01-17T12:35:20.509Z","updatedAt":"2023-01-17T12:35:20.509Z"}}}},{"title":"Overcoming the challenges of Cloud environmental impact measurement","path":"overcoming-the-challenges-of-cloud-environmental-impact-measurement/","description":"At Scaleway, sustainability is a core concern. This why we decided to create a unique [environmental footprint calculator](https://www.scaleway.com/en/environmental-footprint-calculator/), designed to provide our users with a clear and comprehensive view of the environmental impact of our products. Unlike other cloud calculators, which only measure carbon for now, this tool measures not only carbon emissions (scopes 1, 2 and 3) - including hardware-specific energy consumption - but also water consumption. \n\nBased on as a robust a methodology as the PCR of French national ecological agency [ADEME](https://www.ademe.fr/en/frontpage/), the calculator provides transparent, reliable estimates, both at the time of purchase and in detailed and in detailed monthly reports. The aim is simple: to enable Scaleway clients to make informed decisions and optimize their infrastructures, in order to reduce their environmental impact.\n\nA detailed and comprehensive methodology is essential to guarantee the reliability of environmental impact data and to make it usable in infrastructure choices. By providing an accurate, multi-criteria view, we enable companies to understand the full ecological footprint of their operations.\n\nThis data, transparent and aligned with recognized standards, serves as a solid basis for comparing different options, identifying levers for improvement, and making informed decisions. In this way, a rigorous methodology does more than simply measure impact: it becomes a genuine strategic tool for effectively reducing one's footprint while supporting a more responsible digital transition.\n\nYet this journey has not been without its pitfalls. Accurately measuring environmental footprint, particularly scope 3 (which encompasses the indirect emissions of suppliers and purchased products), is a complex challenge.\n\n\n## Scope 3 data collection: a major challenge\n\nScope 3 represents the CO2 emissions of the suppliers and equipment we use. This category is often the most difficult to assess, as it depends on the quality and availability of data supplied by equipment manufacturers and other partners. Nonetheless, it is indispensable. \n\nAs a cloud provider, scope 3 represents over [80% of the carbon footprint of our services](https://www.itu.int/pub/D-STR-DIGITAL.04-2024). To ignore this category would be to miss out on a substantial part of our overall footprint, which makes our commitment to its measurement all the more crucial for comprehensive and relevant environmental impact monitoring.\n\nAt Scaleway, we have a wide variety of hardware equipment from multiple suppliers, some of which has **a lifespan in excess of 10 years**. We also practice intensive recycling, reusing components to integrate them into other servers, which extends the lifespan of our hardware. \n\nHowever, this approach adds a further layer of complexity to the precise calculation of the environmental impact of our servers, due to the traceability and (lack of) heterogeneity of the equipment used. **Collecting accurate impact data for these machines, particularly the older ones, proved a major challenge**. Indeed, some of our equipment suppliers did not have sufficiently detailed impact data, or such data was not always available for older equipment.\n\nAfter encountering a number of obstacles on this front, we decided to capitalize on the excellent work carried out by French association [Boavizta](https://boavizta.org/en), which has developed impact models based on emission factors and the average life cycle analysis (LCA) of hundreds of types of hardware, including servers. This enabled us to guarantee more robust estimates, although some uncertainty remains.\n\nIt is important to point out that our methodology is still evolving, and we are ready to integrate data from our suppliers as soon as they become available, in order to refine our calculations and guarantee even greater accuracy.\n\nAnother major challenge concerned our infrastructure servers used for in-house tools. The lack of comprehensive, automatable data on these servers, such as their specifications (CPU, RAM, etc.), made it difficult to assess their environmental impact linked to manufacturing. This time, the difficulty was linked to our internal organization. To overcome this problem, we implemented a progressive data collection method, automating as far as possible the retrieval of hardware specifications. At the same time, we applied generic impact coefficients based on standard specifications for servers for which data was not available.\n\n\n## Data center construction: the uncertainty of emission factors\n\nThe **environmental impact of data center construction is a particularly sensitive issue**. In the absence of specific data on the construction of each data center, we had to rely on estimates based on generic emission factors provided by ADEME. However, the level of uncertainty surrounding these estimates remains relatively high.\n\nWe have chosen to precisely document this uncertainty in our methodology, while incorporating the best available estimates. The use of emission factors per m² provided by ADEME enables us to calculate a carbon footprint in relation to the size of our infrastructures, although we continue to work on improving the accuracy of the data as new information becomes available.\n\n\n## Non-IT impact: complex methodological issues\n\n**Non-IT impacts** (offices, travel, etc.) represent a more indirect part of our environmental footprint, but are nonetheless crucial to measure. We had to define how and how often to update these data: should we base ourselves on annual averages, monthly data or choose another approach?\n\nWe opted for an annual update of non-IT data, based on personnel stats in our [Impact Report](https://www-uploads.scaleway.com/Impact_Report2024_A4_EN_e63efcae20.pdf), in order to offer our users a consistent and comparable overview. This decision enabled us to erase seasonality concerns, and to maintain a good balance between accuracy and practicality in the ongoing monitoring of our global footprint.\n\n\n## A constantly evolving process\n\nMeasuring environmental impact accurately and comprehensively is a complex challenge, particularly when it comes to scope 3 emissions. However, thanks to our commitment to transparency and the continuous improvement of our methods, we are able to provide our users with reliable information to help them reduce their carbon footprint. 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