Back to Tutorials

Featured Deploying APIs to Kubernetes: Complete Guide

What is Kubernetes?

Kubernetes (K8s) is an open-source container orchestration platform that automates deployment, scaling, and management of containerized applications.

Deployment Configuration

# deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: api-deployment
spec:
  replicas: 3
  selector:
    matchLabels:
      app: api
  template:
    metadata:
      labels:
        app: api
    spec:
      containers:
      - name: api
        image: my-api:latest
        ports:
        - containerPort: 3000
        env:
        - name: NODE_ENV
          value: "production"
        - name: DATABASE_URL
          valueFrom:
            secretKeyRef:
              name: db-secret
              key: url
        resources:
          requests:
            memory: "256Mi"
            cpu: "250m"
          limits:
            memory: "512Mi"
            cpu: "500m"

Service Configuration

# service.yaml
apiVersion: v1
kind: Service
metadata:
  name: api-service
spec:
  selector:
    app: api
  ports:
  - protocol: TCP
    port: 80
    targetPort: 3000
  type: LoadBalancer

Kubernetes Commands

# Apply deployment
kubectl apply -f deployment.yaml

# Get deployments
kubectl get deployments

# Get pods
kubectl get pods

# Describe pod
kubectl describe pod <pod-name>

# View logs
kubectl logs <pod-name>

# Scale deployment
kubectl scale deployment api-deployment --replicas=5

# Delete deployment
kubectl delete deployment api-deployment

Ingress Configuration

# ingress.yaml
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: api-ingress
spec:
  rules:
  - host: api.example.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: api-service
            port:
              number: 80

Best Practices

  • Use ConfigMaps for configuration
  • Use Secrets for sensitive data
  • Set resource limits
  • Use health checks (liveness/readiness probes)
  • Implement horizontal pod autoscaling