Kubernetes: Container Orchestration at Scale

Master Kubernetes architecture, deployment patterns, and orchestration strategies for containerized applications

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What is Kubernetes?

Kubernetes (K8s) is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. Originally developed by Google, it provides a robust foundation for running distributed systems resiliently, handling scaling and failover for your applications.

Kubernetes Architecture

Control Plane

  • API Server: Central management entity
  • etcd: Distributed key-value store
  • Scheduler: Assigns pods to nodes
  • Controller Manager: Runs controller processes

Worker Nodes

  • kubelet: Node agent
  • kube-proxy: Network proxy
  • Container Runtime: Docker, containerd
  • Pods: Running application instances

Core Kubernetes Resources

Pod

Smallest deployable unit containing one or more containers sharing network and storage.

  • • Shared IP address and port space
  • • Shared storage volumes
  • • Containers can communicate via localhost
apiVersion: v1
kind: Pod
metadata:
  name: nginx-pod
spec:
  containers:
  - name: nginx
    image: nginx:1.20
    ports:
    - containerPort: 80

Deployment

Manages replica sets and provides declarative updates to pods with rollout and rollback capabilities.

  • • Rolling updates
  • • Rollback functionality
  • • Scaling operations
apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx-deployment
spec:
  replicas: 3
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:1.20

Service

Provides stable network endpoint for a set of pods with load balancing and service discovery.

  • • ClusterIP: Internal cluster access
  • • NodePort: External access via node ports
  • • LoadBalancer: Cloud provider integration
apiVersion: v1
kind: Service
metadata:
  name: nginx-service
spec:
  selector:
    app: nginx
  ports:
  - protocol: TCP
    port: 80
    targetPort: 80
  type: ClusterIP

Cluster Metrics Calculator

20
Pods/Node
2
Available Replicas
65%
Efficiency
28
Total CPU Cores

Deployment Patterns

Rolling Update

Gradually replaces old pods with new ones, ensuring zero downtime.

Blue-Green

Maintains two identical production environments, switching traffic instantly.

Canary

Releases new version to a small subset of users first.

Rolling Update Configuration

spec:
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxUnavailable: 1
      maxSurge: 1
  template:
    spec:
      containers:
      - name: app
        image: myapp:v2
        readinessProbe:
          httpGet:
            path: /health
            port: 8080

Storage & Configuration Management

ConfigMaps & Secrets

Separate configuration from application code for better portability and security.

# ConfigMap
apiVersion: v1
kind: ConfigMap
metadata:
  name: app-config
data:
  database_url: "postgres://..."
  
# Secret
apiVersion: v1
kind: Secret
metadata:
  name: db-secret
type: Opaque
data:
  password: cGFzc3dvcmQ=

Persistent Volumes

Abstract storage resources that persist beyond pod lifecycle.

apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: postgres-pvc
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 20Gi
  storageClassName: fast-ssd

Real-World Kubernetes Implementations

Spotify

Runs 150+ services on Kubernetes across multiple regions.

  • • Music recommendation microservices
  • • Auto-scaling based on user activity
  • • Multi-region disaster recovery

Airbnb

Migrated 1000+ microservices to Kubernetes for better scalability.

  • • Property search and booking services
  • • ML-powered pricing algorithms
  • • Real-time messaging platform

Reddit

Uses Kubernetes to handle traffic spikes and maintain high availability.

  • • Comment and voting systems
  • • Content delivery optimization
  • • A/B testing infrastructure

Pinterest

Adopted Kubernetes for containerizing their monolithic applications.

  • • Image processing pipelines
  • • Search and recommendation engines
  • • User analytics platform

Test Your Knowledge

📝 Kubernetes Knowledge Quiz

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What is the smallest deployable unit in Kubernetes?