Re: [I] KEDA scaler `pending_jobs` metric appears insufficient for scaling due to rapid task assignment by scheduler [datafusion-ballista]

2026-05-20 Thread via GitHub


SNagarajan2243 commented on issue #1701:
URL: 
https://github.com/apache/datafusion-ballista/issues/1701#issuecomment-4501050442

   @metegenez Yeah, that would be very helpful. I’ve also noticed some issues 
related to IPv6 while deploying on EKS, though I haven’t had the chance to 
fully investigate them yet.
   
   For the autoscaling discussion above, I’ll be eagerly waiting for your 
insights and guidance. Appreciate the help!


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Re: [I] KEDA scaler `pending_jobs` metric appears insufficient for scaling due to rapid task assignment by scheduler [datafusion-ballista]

2026-05-20 Thread via GitHub


metegenez commented on issue #1701:
URL: 
https://github.com/apache/datafusion-ballista/issues/1701#issuecomment-4496317709

   Since i am not fully onboarded on that part, I will read about it soon and 
try to help you.


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Re: [I] KEDA scaler `pending_jobs` metric appears insufficient for scaling due to rapid task assignment by scheduler [datafusion-ballista]

2026-05-18 Thread via GitHub


SNagarajan2243 commented on issue #1701:
URL: 
https://github.com/apache/datafusion-ballista/issues/1701#issuecomment-4479238306

   @martin-g @metegenez @milenkovicm Would appreciate any clarification on 
whether `pending_jobs` is the right metric for autoscaling, or if there’s a 
better metric for actual executor load - also, if others could help clarify the 
questions above, that would be greatly appreciated.
   


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Re: [I] KEDA scaler `pending_jobs` metric appears insufficient for scaling due to rapid task assignment by scheduler [datafusion-ballista]

2026-05-15 Thread via GitHub


SNagarajan2243 commented on issue #1701:
URL: 
https://github.com/apache/datafusion-ballista/issues/1701#issuecomment-4460974420

   @andygrove 


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