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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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