Re: [ANNOUNCE] Apache Flink 1.17.0 released

2023-03-27 文章 Matthias Pohl
Here are a few things I noticed from the 1.17 release retrospectively which I want to share (other release managers might have a different view or might disagree): - Google Meet might not be the best choice for the release sync. We need to be able to invite attendees even if the creator of the

Re: [ANNOUNCE] Apache Flink 1.17.0 released

2023-03-25 文章 Hang Ruan
Thanks for the great work ! Congrats all! Best, Hang Panagiotis Garefalakis 于2023年3月25日周六 03:22写道: > Congrats all! Well done! > > Cheers, > Panagiotis > > On Fri, Mar 24, 2023 at 2:46 AM Qingsheng Ren wrote: > > > I'd like to say thank you to all contributors of Flink 1.17. Your support > >

Re: [ANNOUNCE] Apache Flink 1.17.0 released

2023-03-24 文章 Panagiotis Garefalakis
Congrats all! Well done! Cheers, Panagiotis On Fri, Mar 24, 2023 at 2:46 AM Qingsheng Ren wrote: > I'd like to say thank you to all contributors of Flink 1.17. Your support > and great work together make this giant step forward! > > Also like Matthias mentioned, feel free to leave us any

Re: [ANNOUNCE] Apache Flink 1.17.0 released

2023-03-23 文章 Matthias Pohl
Thanks for making this release getting over the finish line. One additional thing: Feel free to reach out to the release managers (or respond to this thread) with feedback on the release process. Our goal is to constantly improve the release process. Feedback on what could be improved or things

Re: [ANNOUNCE] Apache Flink 1.17.0 released

2023-03-23 文章 Jing Ge
Excellent work! Congratulations! Appreciate the hard work and contributions of everyone in the Apache Flink community who helped make this release possible. Looking forward to those new features. Cheers! Best regards, Jing On Thu, Mar 23, 2023 at 10:24 AM Leonard Xu wrote: > The Apache Flink

[ANNOUNCE] Apache Flink 1.17.0 released

2023-03-23 文章 Leonard Xu
The Apache Flink community is very happy to announce the release of Apache Flink 1.17.0, which is the first release for the Apache Flink 1.17 series. Apache Flink® is an open-source unified stream and batch data processing framework for distributed, high-performing, always-available, and