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)
