28 Sep 2020
Tzu-Li (Gordon) Tai (@tzulitai) & Igal Shilman (@IgalShilman)
The Apache Flink community is happy to announce the release of Stateful Functions (StateFun) 2.2.0! This release
introduces major features that extend the SDKs, such as support for asynchronous functions in the Python SDK, new
persisted state constructs, and a new SDK that allows embedding StateFun functions within a Flink DataStream job.
Moreover, we’ve also included important changes that improve out-of-the-box stability for common workloads,
as well as increased observability for operational purposes.
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17 Sep 2020
Zhu Zhu (@zhuzhv)
The Apache Flink community released the second bugfix version of the Apache Flink 1.11 series.
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04 Sep 2020
Marta Paes (@morsapaes)
Ah, so much for a quiet August month. This time around, we bring you some new Flink Improvement Proposals (FLIPs), a preview of the upcoming Flink Stateful Functions 2.2 release and a look into how far Flink has come in comparison to 2019.
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01 Sep 2020
Andrey Zagrebin
In a previous blog post, we focused on the memory model of the TaskManagers and its improvements with the Apache Flink 1.10 release. This blog post addresses the same topic but for Flink's JobManager instead.
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25 Aug 2020
Zhu Zhu (@zhuzhv)
The Apache Flink community released the second bugfix version of the Apache Flink 1.10 series.
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20 Aug 2020
Robert Metzger (@rmetzger_)
This blog post gives an update on the recent developments of Flink's support for Docker.
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19 Aug 2020
Igal Shilman (@IgalShilman)
In this blog post, we’ll take a look at a class of use cases that is a natural fit for Flink Stateful Functions: monitoring and controlling networks of connected devices (often called the “Internet of Things” (IoT)).
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06 Aug 2020
Yangze Guo
This post introduces the new External Resource Framework in Flink 1.11 and take GPU as an example to show how to accelerate your workload with external resources.
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04 Aug 2020
Jincheng Sun (@sunjincheng121) & Markos Sfikas (@MarkSfik)
The Apache Flink community put some great effort into integrating Pandas with PyFlink in the latest Flink version 1.11. Some of the added features include support for Pandas UDF and the conversion between Pandas DataFrame and Table. In this article, we will introduce how these functionalities work and how to use them with a step-by-step example.
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30 Jul 2020
Alexander Fedulov (@alex_fedulov)
In this series of blog posts you will learn about powerful Flink patterns for building streaming applications.
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