According to a recent press release, “The Apache Flink community is thrilled to announce the 1.5.0 release. Over the past 5 months, the Flink community has been working hard to resolve more than 780 issues. Please check the complete changelog for more detail. Flink 1.5.0 is the sixth major release in the 1.x.y series. As usual, it is API-compatible with previous 1.x.y releases for APIs annotated with the @Public annotation. We encourage everyone to download the release and check out the documentation. Feedback through the Flink mailing lists or JIRA is, as always, very much appreciated. You can find the binaries on the updated Downloads page on the Flink project site.”

The release goes on, “We believe that the field of stream processing, and Apache Flink with it, is taking another major leap at the moment. Stream Processing is not just faster analytics and a more principled way of building fast continuous data pipelines. Stream Processing is becoming a paradigm to build data-driven and data-intensive applications – it brings together data processing logic and application/business logic. To help users realize the potential of this change, we spent a lot of effort in this release to rework some fundamental pieces of Flink. We want Flink to feel natural to users who do data engineering / data processing, as well as users who build data/event-driven applications (and of course those who combine both aspects inside their applications).”

Read more at flink.apache.org.

Photo credit: Apache Flink