Stream Processing and Applications in the Modern Age
summary
Flink reports a unified runtime push (notably Flink 1.9 with ~190 contributors and ~2,000 commits) and demonstrates a new project, Stateful Functions (StateFun), that embeds local state in virtual function instances, implements messaging loops on top of Flink with an extension to support exactly-once checkpoints, and runs a concrete ride‑sharing demo (driver/passenger entities, geo‑index) as working code on GitHub under the Apache license and via statefun.io.
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chapters (7)
- 0:00Introduction and welcome
- 4:24State of Flink community update
- 9:01Stream processing applications overview
- 19:41Introducing Stateful Functions
- 31:17Ride-sharing demo and features
- 36:03Project fit and use cases
- 41:00Open source and future plans
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34mHands-on Stateful Serverless Applications with Kubernetes and Stateful Functions
42mInterview and AMA with the creators of Stateful Functions
35mApache Flink 2.0: Unified Enterprise Data Processing System and Beyond
27mStateful Functions 3.0: Towards a Cross-Platform Stateful Serverless Stack
38mPolyglot Actor Model on Flink Stateful Functions
37mKeynote | Flink Ahead: What Comes After Unified Batch & Streaming?
