Ververica Blog

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

Announcing dA Platform 1.1 with support for Apache Flink 1.5.0 and other additions

July 11, 2018

Today, we are excited to announce the next release of dA Platform and Application Manager. This release contains new features and improvements based on customer feedback gathered from users of the initial version of dA Platform.

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Queryable State in Apache Flink® 1.2.0: An Overview & Demo

March 24, 2017

Ufuk Celebi (@iamuce) is a co-founder and software engineer at data Artisans.  2016 was the year that stateful, event-time, and event-at-a-time stream processing arrived as the paradigm for high-throughput, low-latency, and accurate computations....

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RBEA: Scalable Real-Time Analytics at King

May 04, 2016

This is a guest blog post written by Gyula Fóra and Mattias Andersson from King.com. The original post can be found on the King Tech Blog. This blogpost introduces RBEA (Rule-Based Event Aggregator), the scalable real-time analytics platform...

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How Apache Flink™ Enables New Streaming Applications, Part 2

February 03, 2016

This is the second blog post in our series on how Flink enables new streaming applications. Part 1 introduced event time and out of order processing.

This post is about versioning application state and was followed by a post about sessions and...

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How Apache Flink™ handles backpressure

August 31, 2015

People often ask us how Flink deals with backpressure effects. The answer is simple: Flink does not use any sophisticated mechanism, because it does not need one. It gracefully responds to backpressure by virtue of being a pure data streaming...

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