What are the best practices for using Horizontal Pod Autoscaler in Kubernetes?
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What are the best practices for using Horizontal Pod Autoscaler in Kubernetes?
Some best practices include setting appropriate resource requests and limits, using metrics that reflect application performance, and testing autoscaling behavior under load.
How do I configure resource requests and limits for my pods?
You can configure resource requests and limits in your pod specification YAML file under the resources field. For example:
resources:
requests:
cpu: "100m"
memory: "256Mi"
limits:
cpu: "200m"
memory: "512Mi"
What metrics should I use for autoscaling?
Common metrics include CPU utilization, memory usage, and custom application metrics. Choose metrics that best reflect your application's performance.
Can I use custom metrics with HPA?
Yes, you can use custom metrics with HPA by integrating with the Kubernetes Metrics API or using external metrics providers.
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