We have deployed the log colleges system in the k8s cluster before, but have poor performance. The maximum resource of Fluentd is 800M memory and 1 CPU, it can only process and push almost 1500 logs per second. We need performance tuning.
After DolphinScheduler was deployed succeeded, I was thinking about how to inject the config data into the project. This document is for recording.
Recently we are working on deployment dolphinscheduler on docker & k8s following the official guide.
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