https://www.rogerthat.dev/tags/google-cloud/ Recent content in Google Cloud on Roger That Dev Hugo en-us Thu, 19 Mar 2026 07:35:14 -0700 https://www.rogerthat.dev/posts/gc-ai-stack/ Thu, 19 Mar 2026 07:35:14 -0700 https://www.rogerthat.dev/posts/gc-ai-stack/ <p>This is a great video by <a href="https://www.youtube.com/watch?v=RRKwmeyIc24">IBM Technology</a> that breaks down the AI stack into <strong>5 layers</strong>:</p> <div style="position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden;"> <iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share; fullscreen" loading="eager" referrerpolicy="strict-origin-when-cross-origin" src="https://www.youtube.com/embed/RRKwmeyIc24?autoplay=0&amp;controls=1&amp;end=0&amp;loop=0&amp;mute=0&amp;start=0" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border:0;" title="YouTube video"></iframe> </div> <p>Google Cloud is a big ol&rsquo; platform that be used to develop and build out any layer in the stack. It can get complex, so I want to write up a series of posts that talks about each layer as it applies to Google Cloud.</p> https://www.rogerthat.dev/posts/alloydb-vector-db/ Tue, 03 Mar 2026 07:04:11 -0800 https://www.rogerthat.dev/posts/alloydb-vector-db/ <p>Vector database platforms like <a href="http://pinecone.io/">Pinecone</a> and <a href="https://qdrant.tech/">Qdrant</a> offer a great streamlined experience for spinning up, loading data, and querying a vector database. <strong><a href="https://cloud.google.com/products/alloydb">AlloyDB</a></strong> is a different category of product entirely: enterprise-grade PostgreSQL built for high availability, extreme scale, and production workloads. That depth means getting started with vector search on AlloyDB takes a few more steps than a vector-only platform — but if that&rsquo;s the infrastructure you&rsquo;re building on, it&rsquo;s worth it.</p>