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

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Stefan Richter

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Apache Flink, Flink Features

by Stefan Richter February 26, 2020

How to manage your RocksDB memory size in Apache Flink

This blog post describes some configuration options that will help you to efficiently manage the memory size of the RocksDB state backend in Apache Flink. In an earlier post, we described the...

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Apache Flink, Flink Features

by Stefan Richter November 02, 2018

3 differences between Savepoints and Checkpoints in Apache Flink

This episode of our Flink Friday Tip explains what Savepoints and Checkpoints are and examines the main differences between them in Apache Flink. In the following paragraphs, we explain what...

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Apache Flink, Flink Features

by Stefan Richter January 23, 2018

Managing Large State in Apache Flink®: An Intro to Incremental Checkpointing

Apache Flink was purpose-built for stateful stream processing. Let's quickly review: what is state in a stream processing application? I defined state and stateful stream processing in a previous...

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Use Cases, Flink Features

by Stefan Richter June 12, 2017

Apache Flink® at MediaMath: Rescaling Stateful Applications in Production

This post also appeared on the MediaMath Developer Blog. 

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