Good news!
Looking forward to the release of 3.0.

kerwin zhuang <[email protected]> 于2022年4月7日周四 09:28写道:
>
> Hi all:
>
> Many thanks to everyone who is following the Apache DolphinScheduler
> community.
>
> Apache DolphinScheduler is pleased to announce that Apache DolphinScheduler
> version 3.0.0-alpha will be released on April 12th.
>
>
>
> 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]
> - Documents:
> https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/quick-start.html
>
>
> *About DolphinScheduler:*
>
> Apache DolphinScheduler is a cloud-native visual Big Data workflow
> scheduler system.
>
> As a distributed and extensible data workflow scheduler platform with rich
> directed acyclic graph (DAG) visual interfaces, DolphinScheduler solves
> complex task dependencies and triggers in the data pipeline. Out-of-the-box,
> its easy-to-extend processing connects numerous systems to 600,000-level
> data task scheduling.
>
> Apache DolphinScheduler is:
>
> - Cloud Native — support multi-cloud/data center workflow management, also
> supports Kubernetes, Docker deployment and custom task types, distributed
> scheduling, with overall scheduling capability, increased linearly with the
> scale of the cluster
> - Support multi-tenant
> - Highly Reliable — decentralized multi-master and multi-worker, high
> availability, supported by itself, overload processing
> - User-Friendly — all process definition operations are visualized, defines
> key information at a glance, one-click deployment
> - Supports Rich Scenarios — includes streaming, pause, recover operation,
> and additional task types such as Spark, Hive, MR, Shell,
> Python, Flink, Sub_process, and more.
>
> Best Regards!
>
>
> - Apache DolphinScheduler Team
>
> --
> Apache DolphinScheduler Committer
> ZhuangChong 庄崇
> [email protected]



-- 
DolphinScheduler  PMC
BaoLiang 鲍亮

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