Hi all, Currently, our community is preparing to release version 3.0.1, which will only do bugfix without new features.
Considering the experience and publicity of new features, include ML, k8s, yaml workflow as code, stream task and so on, we are glad to announce that Apache DolphinScheduler version 3.1.0 will be released on September 25th. We already create new branch named `3.1.0-prepare` in repository apache/dolphinscheduler and invite our community to test it if you are interested in 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 — Shunfeng
