system_memory_high_watermark
after stopping and starting a k8s cluster - 4.0.3
#12920
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Describe the bugHi, After migrating from 3.13 to 4.0 and after restarting the kubernetes cluster, this issue appear and make my cluster in stuck mode. I try increasing the RAM and the CPU allocated to the RabbitMQ cluster to allow it to start but without any success.. Logs :
Reproduction stepsNo reproduction. Expected behaviorMy RabbitMQ cluster to restart. Additional contextDid you know anything that can unblock me ? Thanks a lot. |
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Replies: 3 comments 5 replies
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Hello, thanks for using RabbitMQ. What do you expect us to do with the very limited information you have provided? Nobody on Team RabbitMQ is telepathic. |
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@ewencodes we cannot suggest anything beyond this doc guide that explains how to use A few lines from early during node boot tell us nothing about your workload and we do not guess on this team. |
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#12885 could potentially be related if there are very fast publishers that being hammering a freshly booted node. It has all the context, preview release artifacts to try, and so on. And if that indeed is the behavior (which is anyone's guess), |
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@ewencodes we cannot suggest anything beyond this doc guide that explains how to use
rabbitmq-diagnostics
or other available tools to understand what consumes memory on your node. Prometheus and Grafana dashboards can help you collect and chart effectively the same kind of information over time.A few lines from early during node boot tell us nothing about your workload and we do not guess on this team.