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RE: slow autoscaling Maybe the cloud companies could do something here by always keeping a small subset of machines online and ready to join the cluster. Provi
by wetpaste 2y ago
RE: slow autoscaling
Maybe the cloud companies could do something here by always keeping a small subset of machines online and ready to join the cluster. Provided there is some compromise in what the configuration is for the end user. I guess it doesn't solve image pulling. Pre-warming nodes is an annoying problem to solve.
Best solution I've been able to come up with is: Spegel (lightweight p2p image caching) + Karpenter (dynamic node autoscaling) + pods with low priority to hold onto some extra nodes. It's not perfect though
- p_l 2y ago1. Do some capacity planning 2. Apply appropriate changes to application resources (like parameters for spreading pods around) 3. Add descheduler[1] or similar tool to force redistribution of pods 4. Configure your cluster autoscaling params according to values from step (1) and have it autoscale before nodes are too heavily loaded.