Kubernetes Horizontal Pod Autoscaler
Configure and test Horizontal Pod Autoscaler to automatically scale applications based on CPU and memory usage.
advanced
cloud
Kubernetes
90 minutes
6 steps
Prerequisites
- Kubernetes cluster access
- kubectl configured
- Basic Kubernetes knowledge
Learning Objectives
- Configure Horizontal Pod Autoscaler
- Understand autoscaling metrics
- Implement load testing
- Monitor scaling behavior
Technologies Used
Kubernetes
Metrics Server
kubectl
YAML
Exercise Steps
1
Verify Cluster Setup and Metrics Server
Current
Ensure your Kubernetes cluster is ready and deploy the metrics server for HPA functionality.
2
Deploy Sample Application with Resource Limits
Create a resource-defined deployment that will be used for autoscaling demonstration.
3
Configure Horizontal Pod Autoscaler
Create HPA configuration to automatically scale based on CPU utilization.
4
Generate Load and Test Autoscaling
Create load on the application to trigger horizontal pod autoscaling.
5
Monitor and Analyze Scaling Behavior
Observe the autoscaling behavior and analyze the scaling events.
6
Test Scale-Down Behavior
Remove load and observe how HPA scales down the application.
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