Hi, I have Flink 1.7 running on our production. I can see that the Memory used by the Job Managers are pretty high. Below is a snapshot of our pods running the JM. I had to commit 3GB memory, with a memory limit of 5GB. I have one cluster per job, to make it scalable based on our traffic rate and the benchmark per pod. So this cluster holds a job with 5 parallelism. I just wanted to know how to understand if this memory consumption is acceptable. I was assuming JM's might not need this much memory. Please advise.
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