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]( overview) [When to Use]( when to use) [Quick Start]( quick start) [Reference Guides]( reference guides) [Best Practices]( 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: Reference Guides Detailed implementations in the references/ directory: Guide Contents [Complete Deployment with Resource Management](references/complete deployment with resource management.md) Complete Deployment with Resource Management [Deployment Script](references/deployment script.md) Deployment Script [Service Account and RBAC](references/service account and rbac.md) Service Account and RBAC 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

kubernetes-deployment