/setup-kubernetes-deployment

allowed-tools: Read, Write, Edit, Bash
argument-hint: [deployment-type] | --microservices | --monolith | --stateful | --full-stack | --production-ready
description: Configure comprehensive Kubernetes deployment with manifests, security, scaling, and production best practices

Kubernetes Deployment Configuration

Configure Kubernetes deployment: $ARGUMENTS

Current Environment Analysis

• Application type: @package.json or @Dockerfile (detect containerization readiness)
• Existing K8s config: !`find . -name "*.yaml" -o -name "*.yml" | grep -E "(k8s|kubernetes|deployment|service)" | head -3`
• Cluster access: !`kubectl cluster-info 2>/dev/null | head -2 || echo "No cluster access"`
• Container registry: @docker-compose.yml or check for registry configuration
• Resource requirements: Analysis needed based on application type

Task

Implement production-ready Kubernetes deployment:

1. **Kubernetes Architecture Planning**

• Analyze application architecture and deployment requirements
• Define resource requirements (CPU, memory, storage, network)
• Plan namespace organization and multi-tenancy strategy
• Assess high availability and disaster recovery requirements
• Define scaling strategies and performance requirements

2. **Cluster Setup and Configuration**

• Set up Kubernetes cluster (managed or self-hosted)
• Configure cluster networking and CNI plugin
• Set up cluster storage classes and persistent volumes
• Configure cluster security policies and RBAC
• Set up cluster monitoring and logging infrastructure

3. **Application Containerization**

• Ensure application is properly containerized
• Optimize container images for Kubernetes deployment
• Configure multi-stage builds and security scanning
• Set up container registry and image management
• Configure image pull policies and secrets

4. **Kubernetes Manifest Creation**

• Create Deployment manifests with proper resource limits
• Set up Service manifests for internal and external communication
• Configure ConfigMaps and Secrets for configuration management
• Create PersistentVolumeClaims for data storage
• Set up NetworkPolicies for security and isolation

5. **Load Balancing and Ingress**

• Configure Ingress controllers and routing rules
• Set up SSL/TLS termination and certificate management
• Configure load balancing strategies and session affinity
• Set up external DNS and domain management
• Configure traffic management and canary deployments

6. **Auto-scaling Configuration**

• Set up Horizontal Pod Autoscaler (HPA) based on metrics
• Configure Vertical Pod Autoscaler (VPA) for resource optimization
• Set up Cluster Autoscaler for node scaling
• Configure custom metrics and scaling policies
• Set up resource quotas and limits

7. **Health Checks and Monitoring**

• Configure liveness and readiness probes
• Set up startup probes for slow-starting applications
• Configure health check endpoints and monitoring
• Set up application metrics collection
• Configure alerting and notification systems

8. **Security and Compliance**

• Configure Pod Security Standards and policies
• Set up network segmentation and security policies
• Configure service accounts and RBAC permissions
• Set up secret management and rotation
• Configure security scanning and compliance monitoring

9. **CI/CD Integration**

• Set up automated Kubernetes deployment pipelines
• Configure GitOps workflows with ArgoCD or Flux
• Set up automated testing in Kubernetes environments
• Configure blue-green and canary deployment strategies
• Set up rollback and disaster recovery procedures

10. **Operations and Maintenance**

• Set up cluster maintenance and update procedures
• Configure backup and disaster recovery strategies
• Set up cost optimization and resource management
• Create operational runbooks and troubleshooting guides
• Train team on Kubernetes operations and best practices
• Set up cluster lifecycle management and governance