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Apache Flink, stream processing, event-driven applications, and more.
Flink Features

Apache Flink® Community Announces 1.2.0 Release

Flink's core features is state management in order to support dynamic sca...

February 6, 2017
by Michael Winters
Flink Features

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...

November 16, 2016
by Fabian Hueske
Flink Features

Savepoints: Turning Back Time

This post is the first in a series of posts that will highlight some of A...

October 14, 2016
by Fabian Hueske
Flink Features

Robust Stream Processing with Apache Flink®: A Simple Walkthrough

In this demo, we provide a simple visualization showing exactly how Flink...

August 18, 2016
by Michael Winters
Flink Features

Extending the Yahoo! Streaming Benchmark

This post discusses extending the Yahoo! Streaming Benchmark.

February 2, 2016
by Jamie Grier
Flink Features

How Apache Flink™ Enables New Streaming Applications, Part 1

This blog post covers a use case of accurate results for out-of-order dat...

December 9, 2015
by Stephan Ewen
Flink Features

How Apache Flink™ handles backpressure

Flink is able to deal with backpressure. Backpressure refers to the situa...

August 31, 2015
by Ufuk Celebi
Apache Flink Flink Features

High-throughput, low-latency, and exactly-once stream processing

In this article, we explain Flink's checkpointing mechanism works, and ho...

August 5, 2015
by Kostas Tzoumas
Flink Features

Real-time stream processing: The next step for Apache Flink™

We introduce Apache Flink™ as a streaming system. Flink fills what we per...

May 6, 2015
by Kostas Tzoumas

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