Pipeline Sprint: stabilize service availability #7

Code Example

apiVersion: apps/v1
kind: Deployment
metadata:
  name: app
spec:
  replicas: 3
  selector:
    matchLabels:
      app: app
  template:
    metadata:
      labels:
        app: app
    spec:
      containers:
        - name: app
          image: app:latest
          resources:
            requests:
              cpu: "200m"
              memory: "256Mi"
            limits:
              cpu: "500m"
              memory: "512Mi"

# verify with: docker run -p 3000:3000 app:dev

Commands & References

• docker run -p 3000:3000 app:dev
• ls -la
• ip a

Lab Steps

1. Prepare tooling and environment with: docker run -p 3000:3000 app:dev
2. Apply infrastructure or deployment change in a safe test environment.
3. Validate rollout/health/metrics and document observations.
4. Propose one reliability or security improvement for production.

Exercises

• Add one guardrail to prevent faulty deployments.
• Implement one observability signal for faster incident debugging.
• Write a rollback checklist for this scenario.