What is Kubernetes HPA and how does it work?
An example of an AI chatbot conversation about Kubernetes Horizontal Pod Autoscaler (HPA).
What is Kubernetes HPA and how does it work?
Kubernetes HPA, or Horizontal Pod Autoscaler, automatically scales the number of pods in a deployment based on CPU utilization or other select metrics.
How do I set up HPA in my Kubernetes cluster?
You can set up HPA using the kubectl autoscale command, specifying the deployment name, desired CPU utilization, and the minimum and maximum number of pods.
What metrics can I use for scaling with HPA?
HPA can scale based on CPU utilization, memory usage, or custom metrics defined in your application.
Can HPA work with custom metrics?
Yes, HPA can work with custom metrics if you set up the Metrics Server or use Prometheus Adapter to expose those metrics.
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