Eventstreams — When No-Code Streaming Hides the Failure Mode

Eventstreams — When No-Code Streaming Hides the Failure Mode Episode 15 • 2026-04-10 Duration: 8:03 Matthias and Fabia break down Fabric Eventstreams — the visual stream processor that replaces three Azure services with one canvas. They explore why green doesn't always mean flowing, tackle Kafka compatibility from a real Reddit question, and walk through the four billing meters that confuse every FinOps team. What we discuss A real-world mistake from a pre-Fabric era The one question that reframes the architectural debate How we got here — predecessor products and evolution Why the "obvious" answer is often wrong A real Reddit/Microsoft Q&A question unpacked The concrete recommended architecture F-SKU realism — what this actually costs When the rejected approach is actually right Risks of the recommended path What Microsoft is shipping that changes the calculus The architectural principle to take home Key takeaways Eventstreams are not about replacing Spark or Kafka. Fair. If you need stateful ML inference mid-stream, Eventstreams won't do it — route to a Spark Notebook destination instead. And if your team needs exactly-once semantics, at-least-once with deduplication in Eventhouse covers most cases,... And your team will absolutely say that in the sprint demo. Resources Eventstream Overview Add and manage event sources Route events to destinations Edit and publish an eventstream Route data streams based on content DeltaFlow output transformation Monitor the status and performance of an eventstream Pause and resume data streams Capacity consumption for Fabric eventstreams Add Azure Event Hubs source Add Azure IoT Hub source Add Eventhouse destination Add Lakehouse destination Process events with SQL code editor Explore and transform bike-sharing data About the show Built on ElevenLabs voice synthesis. Matthias — cloned voice. Fabia — designed AI co-host. See Matthias live on YouTube (Fabric Friday), at his meetups, and at conferences like FabCon. Hosted by Matthias Falland — Microsoft Data Platform MVP and community architect behind the Fabric Periodic Table. New episodes every Friday. Submit your case Have an architecture decision you are wrestling with? DM Matthias on LinkedIn — find him as Matthias Falland. Three to five sentences about the decision, your team size, and your current stack. We anonymize before airing. Built on ElevenLabs voice synthesis. Brand design based on fabricperiodictable.com.