Building systems that respond reliably to specific changes in distributed data is harder than it should be. This session introduces Drasi, a CNCF Sandbox project that simplifies change-driven design by codifying continuous query and reaction patterns. We’ll show how Drasi helps developers declare which data changes matter and automatically trigger the right downstream updates- no polling loops or custom glue code required.
Beyond everyday scenarios like keeping services and dashboards in sync, Drasi also supports AI-driven workloads where fresh data is critical. From updating embeddings to refreshing model inputs, Drasi ensures AI systems stay aligned with the latest state of the world.
You will learn the fundamentals of change-driven architecture, see Drasi in action, and walk away with practical patterns you can apply in your own distributed or AI-powered systems.
