How to Implement Horizontal Pod Autoscaling for Go Services

Horizontal Pod Autoscaling (HPA) automatically adjusts the number of Go service replicas based on CPU or memory usage. Create an HPA resource that targets your deployment and defines the scaling thresholds.

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

Apply the configuration with kubectl apply -f hpa.yaml.

HPA acts like a thermostat for your application, adding more copies of your Go service when traffic spikes and removing them when things calm down. It watches specific metrics like CPU usage to decide when to scale up or down. This ensures your service handles load efficiently without wasting resources during quiet periods.