Jorge Turrado Ferrero

Let's see if I did the federation correctly for both clusters 🤞 xD

Hi, Does this work on a regular job? I'm checking and we use [`batchv1.JobSpec`](https://github.com/kedacore/keda/blob/main/apis/keda/v1alpha1/scaledjob_types.go#L46), so basically we are using the same definition as k8s with jobs, if something is available...

okey, Thanks for the verification, seems totally legit that KEDA should support it if it works with other manifests that embedded podSpecs. Are you willing to contribute with this?

I think that this is overengineering for us atm. WDYT @kedacore/keda-core-contributors ?

Hey, Sorry, I haven't seen this issue before :( KEDA doesn't manage the upstreams, the only thing it does is querying them to get the metrics. Your agent docker image...

If you have long executions processes, I'd recommend to use ScaledJobs for it because you can guarantee that the job finishes.ç ScaledObject delegates in the HPA Controller and KEDA doesn't...

Hey, We are working to redesign KEDA to improve the mechanics with an internal cache but I can't provide any ETA atm, sorry :( I expect to have it aiming...

KEDA already has cache now, but only for the scalers itself, not the values. When the HPA Controller ask the value, KEDA needs to go directly to the upstream, and...

@penghuazhou Could you prometheus server have slow responses too? I mean, the HPA Controller requests the metric to KEDA and KEDA requests it to prometheus server, if prometheus server has...

Could KEDA pod be limited by CPU? I mean, are you monitoring the CPU usage per pod? It seems that KEDA is responding slowly due to whatever