Pravega Flink Connector 101
20 Jan 2022 Yumin Zhou (Brian) (@crazy__zhou)
A brief introduction to the Pravega Flink Connector
20 Jan 2022 Yumin Zhou (Brian) (@crazy__zhou)
A brief introduction to the Pravega Flink Connector
17 Jan 2022 Thomas Weise (@thweise) & Martijn Visser (@martijnvisser82)
The Apache Flink community released the second bugfix version of the Apache Flink 1.14 series.
07 Jan 2022 Dong Lin & Yun Gao
The Apache Flink community is excited to announce the release of Flink ML 2.0.0! This release involves a major refactor of the earlier Flink ML library and introduces major features that extend the Flink ML API and the iteration runtime, such as supporting stages with multi-input multi-output, graph-based stage composition, and a new stream-batch unified iteration library.
04 Jan 2022 Zhilong Hong , Zhu Zhu , Daisy Tsang , & Till Rohrmann (@stsffap)
Part one of this blog post briefly introduced the optimizations we’ve made to improve the performance of the scheduler; compared to Flink 1.12, the time cost and memory usage of scheduling large-scale jobs in Flink 1.14 is significantly reduced. In part two, we will elaborate on the details of these optimizations.
04 Jan 2022 Zhilong Hong , Zhu Zhu , Daisy Tsang , & Till Rohrmann (@stsffap)
To improve the performance of the scheduler for large-scale jobs, several optimizations were introduced in Flink 1.13 and 1.14. In this blog post we'll take a look at them.
22 Dec 2021 Igal Shilman & Seth Wiesman
The Apache Flink community has released an emergency bugfix version of Apache Flink Stateful Function 3.1.1.
16 Dec 2021 Chesnay Schepler
The Apache Flink community has released emergency bugfix versions of Apache Flink for the 1.11, 1.12, 1.13 and 1.14 series.
10 Dec 2021 Konstantin Knauf
Apache Flink is affected by an Apache Log4j Zero Day (CVE-2021-44228). This blog post contains advise for users on how to address this.
03 Nov 2021 Johannes Moser
A look back at the development cycle for Flink 1.14
26 Oct 2021 Yingjie Cao (Kevin) & Daisy Tsang
Flink has implemented the sort-based blocking shuffle (FLIP-148) for batch data processing. In this blog post, we will take a close look at the design & implementation details and see what we can gain from it.