25 Jul 2022 Gyula Fora (@GyulaFora) & Matyas Orhidi
The community has continued to work hard on improving the Flink Kubernetes Operator capabilities since our first production ready release we launched about two months ago.
12 Jul 2022 Zhipeng Zhang & Dong Lin
The Apache Flink community is excited to announce the release of Flink ML 2.1.0! This release focuses on improving Flink ML's infrastructure, such as Python SDK, memory management, and benchmark framework, to facilitate the development of performant, memory-safe, and easy-to-use algorithm libraries. We validated the enhanced infrastructure via benchmarks and confirmed that Flink ML can meet or exceed the performance of selected algorithms from alternative popular ML libraries. In addition, this release added example Python and Java programs to help users learn and use Flink ML.
11 Jul 2022 Yun Gao , Dawid Wysakowicz , & Daisy Tsang
This post presents more details on the changes on the checkpoint procedure and task finish process made by the final checkpoint mechanism.
11 Jul 2022 Yun Gao , Dawid Wysakowicz , & Daisy Tsang
This post briefly describes the motivation and changes made by the final checkpoint mechanism, including the changes to the checkpoint procedure and how tasks finish.
06 Jul 2022 David Anderson (@alpinegizmo)
The Apache Flink Community is pleased to announce a bug fix release for Flink 1.15.
22 Jun 2022 Xingbo Huang
The Apache Flink Community is pleased to announce another bug fix release for Flink 1.14.
17 Jun 2022 Lijie Wang & Zhu Zhu
To automatically decide parallelism of Flink batch jobs, we introduced adaptive batch scheduler in Flink 1.15. In this post, we'll take a close look at the design & implementation details.
05 Jun 2022 Gyula Fora (@GyulaFora) & Yang Wang
In the last two months since our initial preview release the community has been hard at work to stabilize and improve the core Flink Kubernetes Operator logic. We are now proud to announce the first production ready release of the operator project.
30 May 2022 Roman Khachatryan & Yuan Mei
This post describes the mechanism introduced in Flink 1.15 that continuously uploads state changes to a durable storage while performing materialization in the background
23 May 2022 Jun Qin & Nico Kruber
This multi-part series of blog post presents a collection of low-latency techniques in Flink. Following with part one, Part two continues with a few more techniques that optimize latency directly.