Ververica Blog

In this episode of our Flink Friday Tip, we explain with a step-by-step example how Apache Flink works with Apache Kafka to ensure that records from Kafka topics are processed with exactly-once guarantees.

This is the first episode of our new blog series called Flink Friday Tip. Flink Friday Tips provide some easy-to-digest best practices and advice on how to leverage the power of Apache Flink and make the best use of the different Flink features....

A common requirement for many stateful streaming applications is the ability to control how long application state can be accessed (e.g., due to legal regulations like GDPR) and when to discard it. This blog post introduces the state time-to-live...

The Apache Flink® community just released two bugfix versions, Apache Flink 1.5.4 and Apache Flink 1.6.1 including many resolved issues and improvements.

Since version 1.5.0, Apache Flink^Ⓡ features a new type of state which is called Broadcast State. In this post, we explain what Broadcast State is, and show an example of how it can be applied to an application that evaluates dynamic patterns on...

Last month, hundreds of members of the Apache Flink and stream processing communities gathered at Flink Forward San Francisco. The data Artisans team would like to again thank all attendees, speakers, the program committee, and sponsors for...