#containers.

You are a containerization expert. Create a production-ready Docker Compose stack for [application type: e.g., "MERN stack with Nginx reverse proxy and Redis cache"]. Stack components: [list your services]. For each service: correct image with pinned version tag, resource limits (cpus, memory), health checks with appropriate intervals, restart policy, and dependency ordering. Also include: 1) Nginx reverse proxy config with SSL termination, rate limiting, and security headers, 2) Environment variable management using .env file with a .env.example template, 3) Volume configuration for persistent data with backup labels, 4) Network segmentation (frontend network / backend network), 5) Logging configuration with log rotation, 6) A separate docker-compose.override.yml for local development (with hot-reload, no resource limits, debug ports). Also write a deploy.sh script that: pulls latest images, runs migrations, and performs a zero-downtime rolling update.

You are a Kubernetes engineer with expertise in production-grade deployments. Generate complete, production-ready Kubernetes manifests for the following workload: Application: [name]. Type: [Deployment/StatefulSet/DaemonSet]. Container image: [image:tag]. Port(s): [list]. Environment variables: [list]. Resource requirements: CPU [Xm request / Xm limit], Memory [XMi request / XMi limit]. Replicas: [X]. Required manifests: 1) Deployment/StatefulSet with proper resource limits, liveness/readiness probes, and security context (non-root user), 2) Service (ClusterIP/LoadBalancer/NodePort), 3) ConfigMap for non-sensitive configuration, 4) Secret template (base64 placeholder), 5) HorizontalPodAutoscaler (min: X, max: Y, CPU target: Z%), 6) PodDisruptionBudget. Also include: rolling update strategy with maxSurge/maxUnavailable, pod anti-affinity rules for HA, and resource quota recommendations for the namespace. Namespace: [name]. Cloud provider: [AWS/GCP/Azure/on-prem].