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Apache Flink, stream processing, event-driven applications, and more.
Apache Flink® Community Announces 1.2.0 Release
Flink's core features is state management in order to support dynamic sca...
Savepoints, Part 2: Streaming Applications in the Pit Lane
A common use for savepoints is to fix a bug or make an improvement to str...
Savepoints: Turning Back Time
This post is the first in a series of posts that will highlight some of A...
Robust Stream Processing with Apache Flink®: A Simple Walkthrough
In this demo, we provide a simple visualization showing exactly how Flink...
Extending the Yahoo! Streaming Benchmark
This post discusses extending the Yahoo! Streaming Benchmark.
How Apache Flink™ Enables New Streaming Applications, Part 1
This blog post covers a use case of accurate results for out-of-order dat...
How Apache Flink™ handles backpressure
Flink is able to deal with backpressure. Backpressure refers to the situa...
High-throughput, low-latency, and exactly-once stream processing
In this article, we explain Flink's checkpointing mechanism works, and ho...
Real-time stream processing: The next step for Apache Flink™
We introduce Apache Flink™ as a streaming system. Flink fills what we per...
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