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Kubernetes

Kubernetes: Use Horizontal Pod Autoscaler to Scale Based on CPU/Memory

- 15.02.26 - ErcanOPAK

Manual scaling is reactive and slow. HPA automatically scales pods based on resource usage.

Create HPA:

kubectl autoscale deployment myapp \
  --cpu-percent=70 \
  --min=2 \
  --max=10

# When CPU > 70%, adds pods (up to 10)
# When CPU < 70%, removes pods (down to 2)

YAML Version:

apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: myapp-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: myapp
  minReplicas: 2
  maxReplicas: 10
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 70

Check Status: kubectl get hpa

Automatic scaling saves money and handles traffic spikes!

Related posts:

Kubernetes: Namespace Resource Quotas to Prevent Cost Spikes

Kubernetes: Use kubectl top to Monitor Real-Time Resource Usage

Kubernetes Pods Get Killed Without Errors

Post Views: 10

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