Hi Ramya, The attached image cannot be displayed.
It does not sound normal to me that your job manager with only one job of 5 parallelisms needs 3GB. Have you enabled many per-record metrics? And have you tried with the latest Flink versions (1.11 or 1.10)? Thank you~ Xintong Song On Fri, Jul 10, 2020 at 2:32 PM Ramya Ramamurthy <hair...@gmail.com> wrote: > 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. > > [image: image.png] >
