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Issues in Scaling the pods above 200 in scaled jobs #6148
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Hi @JorTurFer , Kindly help with the query Regards |
Hi,
If i need to scale up till 350,
Why MaxReplica to 350 is not working
I have my config like
MinReplica 20
MaxReplica 350
Its not scaling above 220, eventhough jobs or pipelines in queue
Triggers are azure_triggers
Regards
Chaithra
…On Wed, 2 Oct 2024, 11:59 Jorge Turrado Ferrero, ***@***.***> wrote:
Hello
Yeah, min replica for ScaledJobs are the min replicas that will be
available, so minReplicaCount: 20 and 100 required jobs will create 120
jobs. It's the expected behaviour and it's done to have some pods ready to
process the load proactively:
image.png (view on web)
<https://github.com/user-attachments/assets/d22dd84b-2374-4ada-8efb-61450ebc35b1>
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Have you increased the value of |
Yes..did a test with JobToFetch 300, 250 with multiple attempts
Any relation with the number of JobToFetch and maxReplica?
Do they need to have same value??
Thaks
Chaithra
…On Thu, 3 Oct 2024, 02:40 Jorge Turrado Ferrero, ***@***.***> wrote:
Have you increased the value of jobsToFetch?
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You should have it bigger than the replicas. Currently, AzDO API doesn't expose the total value, so KEDA pulls all the pending jobs and filter&count them locally |
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Discussed in #6146
Originally posted by chaithraPadmar September 10, 2024
Hi,
Version used.. 2.10.0 of keda
When we set min replica to lower numbers.. say 20
The effective max numbers of jobs post pipeline queue increases above 200 runnning jobs, we do see only 220 pods/jobs running
We have 1pipeline job per pod and using azure_pipeline triggers and scaled jobs
Is it the expected behaviour
If yes, how to manage wide range of scaling say minReplica 20, maxReplica 500
Regards
Chaithra
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