Comments (2)
Just wanted to update to say I haven't forgotten about these issues, working on a big update to untangle lots of the dependencies here to allow me to update to the latest Custom Pod Autoscaler version that should let me work through these issues you've raised. Thanks for raising these, it's really useful, and thanks for your patience!
from predictive-horizontal-pod-autoscaler.
Support for shell hooks has been dropped with the migration to PHPAs as an operator focused resource (#69).
from predictive-horizontal-pod-autoscaler.
Related Issues (20)
- Linear regression model fails on first run
- Update to Custom Pod Autoscaler v2.0.0
- Custom Pod Autoscaler does not integrate with Argo Rollouts HOT 5
- Nil pointers when using Pod metric HOT 2
- failed to get resource metric HOT 2
- Metrics gatherer fails to retrieve a custom metric for deployment provided given metric is of Pods type HOT 1
- Support custom metrics retrieval from a custom controller (CRD based) with per-resource mode HOT 2
- holt winters python 3-8 algorithm code fails due to outdated dependencies of statsmodel 0.12.1 HOT 2
- holt winters algorithm db: account for replica evaluations not in db
- Refactor to use jthomperoo/k8shorizmetrics for metric gathering and evaluation
- Convert from being a Custom Pod Autoscaler to being controller based
- Errors in phpa operator pod HOT 3
- Does PHPA support custom and external metric as k8s HPA? HOT 1
- phpa scaledown behavior HOT 3
- Add ability to specify start time HOT 1
- Unable to use the tuning service with a week of data HOT 2
- ERROR Reconciler error HOT 1
- Regarding history size HOT 1
- Add monitor mode, allowing a PHPA to be run without actually scaling anything to help with tuning HOT 2
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