Have you had auto-scaling? How was it configured?

Yes, I have experience configuring auto-scaling in cloud environments (e.g., AWS, Kubernetes).

Auto-scaling setup typically involves the following steps:

• Defining metrics for scaling: CPU, memory, request count, latency, or custom metrics.

• Configuring thresholds and scaling rules: for example, if CPU load exceeds 70% for 5 minutes, add one instance.

• Minimum and maximum number of instances: to avoid over-scaling or resource shortage.

• Horizontal and vertical auto-scaling: horizontal — adding/removing instances, vertical — increasing resources on a single instance.

• Testing and monitoring: checking system response to load and adjusting parameters.

Example of setting up Horizontal Pod Autoscaler in Kubernetes:

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

In Java applications, I often integrated auto-scaling with cloud providers and monitoring tools (e.g., Prometheus + Kubernetes) to ensure stable operation under load.