| name | kubernetes-deployment |
| description | Deploy, manage, and scale containerized applications on Kubernetes clusters with best practices for production workloads, resource management, and rolling updates.
|
Kubernetes Deployment
Table of Contents
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:
apiVersion: apps/v1
kind: Deployment
metadata:
name: api-service
namespace: production
labels:
app: api-service
version: v1
spec:
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
