The data Artisans Blog
Apache Flink, stream processing, event-driven applications, and more.
Author: Chris Ward
Managing Large State in Apache Flink®: An Intro to Incremental CheckpointingJanuary 23, 2018
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 bl...
How To Size Your Apache Flink® Cluster: A Back-of-the-Envelope CalculationJanuary 11, 2018
A favorite session from Flink Forward Berlin 2017 was Robert Metzger’s “Keep It Going: How to Reliably and Efficiently Operate Apache Flink”. One of the topics that Robert touches on is how to ...
Apache Flink in 2017: Year in ReviewJanuary 4, 2018
This post originally appeared on the Apache Flink blog. It was reproduced here under the Apache License, Version 2.0. 2017 was another exciting year for the Apache Flink® community, with 3 major v...
Complex Event Processing with Flink: An Update on the State of Flink CEPNovember 8, 2017
Modern organizations rely on the timely and efficient processing of their data to make decisions that have a direct impact on the quality of their services and products. Based on user expectations, ti...