Kubernetes Deployment

Kubernetes Deployment

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• Best Practices

Overview

Master Kubernetes deployments for managing containerized applications at scale, including multi-container services, resource allocation, health checks, and rolling deployment strategies.

When to Use

• Container orchestration and management
• Multi-environment deployments (dev, staging, prod)
• Auto-scaling microservices
• Rolling updates and blue-green deployments
• Service discovery and load balancing
• Resource quota and limit management
• Pod networking and security policies

Quick Start

Minimal working example:

# kubernetes-deployment.yamlapiVersion: apps/v1kind: Deploymentmetadata:  name: api-service  namespace: production  labels:    app: api-service    version: v1spec:  replicas: 3  strategy:    type: RollingUpdate    rollingUpdate:      maxSurge: 1      maxUnavailable: 0  selector:    matchLabels:      app: api-service  template:    metadata:      labels:        app: api-service        version: v1      annotations:// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Best Practices

✅ DO

• Use resource requests and limits
• Implement health checks (liveness, readiness)
• Use ConfigMaps for configuration
• Apply security context restrictions
• Use service accounts and RBAC
• Implement pod anti-affinity
• Use namespaces for isolation
• Enable pod security policies

❌ DON'T

• Use latest image tags in production
• Run containers as root
• Set unlimited resource usage
• Skip readiness probes
• Deploy without resource limits
• Mix configurations in container images
• Use default service accounts