https://ai-blog.noorshomelab.dev/tags/distributed-database/Recent content in Distributed Database on AI VOIDHugoenSat, 14 Mar 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/usearch-scylladb-vector-search-guide-2026/04-scylladb-overview/Tue, 17 Feb 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/usearch-scylladb-vector-search-guide-2026/04-scylladb-overview/<h2 id="introduction">Introduction</h2> <p>Welcome to Chapter 4! In our previous chapters, we embarked on an exciting journey into the world of vector embeddings and discovered the incredible efficiency of USearch for lightning-fast similarity searches. Now, it&rsquo;s time to introduce the perfect partner for USearch in building scalable, real-time AI applications: <strong>ScyllaDB</strong>.</p> <p>This chapter will provide you with a comprehensive overview of ScyllaDB, focusing on its architecture, core principles, and why it&rsquo;s an exceptional choice for housing and querying the vast amounts of vector data generated by modern AI systems. We&rsquo;ll explore how ScyllaDB&rsquo;s design inherently supports the demands of real-time vector search, setting the stage for deep dives into practical integration in upcoming chapters.</p>https://ai-blog.noorshomelab.dev/spacetime-db-guide-2026/chapter-11-scaling-deployment/Sat, 14 Mar 2026 00:00:00 +0000https://ai-blog.noorshomelab.dev/spacetime-db-guide-2026/chapter-11-scaling-deployment/<h2 id="chapter-11-scaling-your-spacetimedb-application-distributed-architectures-and-deployment">Chapter 11: Scaling Your SpaceTimeDB Application: Distributed Architectures and Deployment</h2> <p>Welcome back, intrepid SpaceTimeDB adventurer! Up until now, we&rsquo;ve focused on building fantastic real-time applications on a single SpaceTimeDB instance. But what happens when your game explodes in popularity, your collaborative app goes viral, or your real-time dashboard needs to handle millions of data points per second? That&rsquo;s when you need to think about <em>scaling</em>.</p> <p>In this chapter, we&rsquo;re going to tackle one of the most exciting and critical aspects of building production-ready systems: making them scale. We&rsquo;ll explore how SpaceTimeDB&rsquo;s unique architecture lends itself to distributed deployments, dive into concepts like sharding and replication, and then discuss modern deployment strategies using tools like Docker and Kubernetes. Get ready to design systems that can handle immense loads and stay resilient!</p>