Recently, the "Open Source Promotion Plan" officially entered the public announcement phase, and the Apache DolphinScheduler community received great news!
Two student projects have been successfully selected this year, focusing respectively on Kubernetes scheduling optimization and plugin system enhancement — showcasing the community's ongoing evolution in scalability and cloud-native compatibility of its scheduling engine.
Selected projects and students are as follows:
"K8s Task and Cluster Linking Optimization":
This project aims to enhance DolphinScheduler’s ability to link tasks and clusters in Kubernetes environments, further optimizing task execution efficiency in cloud-native scenarios.
Selected applicant: Chen Wentao"Add gRPC Task Plugin":
This project will introduce a gRPC-based task execution plugin to DolphinScheduler, expanding the flexibility of communication between scheduled tasks and external services.
Selected applicant: Zhao Haibo
We sincerely thank both students for joining and look forward to the substantial technical improvements they’ll bring to DolphinScheduler through their practical work!
Meanwhile, we also welcome more students to follow our community projects and contribute to the future of workflow scheduling engines.
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