Good job, thanks Kerwin
Best Regards --------------- Apache DolphinScheduler PMC Chair & Apache SeaTunnel PPMC David Linkedin: https://www.linkedin.com/in/davidzollo Twitter: @WorkflowEasy <https://twitter.com/WorkflowEasy> --------------- On Mon, Nov 7, 2022 at 4:00 PM Jiajie Zhong <[email protected]> wrote: > Great! thanks Kerwin. > > > On Oct 31, 2022, at 09:51, ShunFeng Cai <[email protected]> > wrote: > > > > Good news, thanks Kerwin. > > > > -- > > Best Wish > > — Shunfeng > > > > kerwin zhuang <[email protected]> 于2022年10月28日周五 10:31写道： > > > >> > >> Hi all, > >> > >> Currently, our community is preparing to release version 3.0.2, which > will > >> only do bugfix without new features. > >> > >> The community has introduced many new features in version 3.1.0, > including > >> ML, k8s, yaml workflow as code, stream tasks, etc. > >> This time, Apache DolphinScheduler version 3.1.1 will be released on > >> November 7th. Version 3.1.1 is a bugfix to version 3.1.0. > >> We have created a new branch called `3.1.1-prepare` in repository > >> apache/dolphinscheduler, if you are interested in them please invite our > >> community to test them. > >> > >> If you have any questions, please refer to DolphinScheduler Resources: > >> > >> - Official website: https://dolphinscheduler.apache.org/ > >> - GitHub: https://github.com/apache/dolphinscheduler > >> - Issue: https://github.com/apache/dolphinscheduler/issues/ > >> - Mailing list: [[email protected]](mailto: > >> [email protected]) > >> - Documents: > >> > https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/guide/start/quick-start.html > >> > >> *About DolphinScheduler:* > >> > >> Apache DolphinScheduler provides a distributed and easy to expand visual > >> workflow task scheduling open-source platform. It is suitable for > >> enterprise-level scenarios. It provides a solution to visualize > operation > >> tasks, workflows, and the entire data processing procedures. > >> > >> Apache DolphinScheduler aims to solve complex big data task dependencies > >> and to trigger relationships in data OPS orchestration for various big > data > >> applications. Solves the intricate dependencies of data R&D ETL and the > >> inability to monitor the health status of tasks. DolphinScheduler > assembles > >> tasks in the Directed Acyclic Graph (DAG) streaming mode, which can > monitor > >> the execution status of tasks in time, and supports operations like > retry, > >> recovery failure from specified nodes, pause, resume, and kill tasks, > etc. > >> > >> > >> — > >> > >> Best Wish > >> — Kerwin (zhuangchong) > >
