# general

Rajesh Tilwani

12/01/2022, 9:13 AM
For the experienced folks here, While using auto scaling in k8s, which metrics did you look at in real world scenarios? I know CPU, memory etc. are the usual ones to look at. But, did you ever encounter a situation where these metrics did not help when scaling was actually needed. I am inquisitive post a recent conversation where a team is using "oldest message in message queue" as a metric for scaling pods. would like to hear more such stories.


12/01/2022, 9:58 AM
We had a need that required scaling on a specific custom Prom metric which was exposed by the Pod(API) v1.20 of K8s supported it in a buggy manner but as of v1.22 we were all good

Ryan Alder

12/01/2022, 5:02 PM
Yes, we use 'oldest message in queue' or 'queue latency' to scale background processing workers. It works really well, and lets us scale down to zero for things that don't run often.