MCPInstall

compose-patterns-2025

Docker Compose production patterns for 2025 (multi-environment, health checks, modern features). PROACTIVELY activate for: (1) production Docker Compose patterns, (2) multi-environment strategies (compose.override.yml, compose.production.yml), (3) HEALTHCHECK and dependson with conditions (servicehealthy, servicestarted), (4) Compose v2 features (profiles, includes, watch), (5) secrets and configs (Compose secrets), (6) network segmentation in Compose, (7) resource limits (deploy.resources), (8) restart policies, (9) Compose for swarm vs standalone, (10) migrating from v3 to current Compose Spec. Provides: production compose templates, multi-env override patterns, healthcheck recipes, secrets handling, and Compose Spec migration.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/josiahsiegel/claude-plugin-marketplace --skill compose-patterns-2025
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads compose-patterns-2025 automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Docker Compose Patterns for Production (2025)

Overview

This skill documents production-ready Docker Compose patterns and best practices for 2025, based on official Docker documentation and industry standards.

File Format Changes (2025)

IMPORTANT: The version field is now obsolete in Docker Compose v2.42+.

Correct (2025):

services:
  app:
    image: myapp:latest

Incorrect (deprecated):

version: '3.8'  # DO NOT USE
services:
  app:
    image: myapp:latest

Multiple Environment Strategy

Pattern: Base + Environment Overrides

compose.yaml (base):

services:
  app:
    build:
      context: ./app
      dockerfile: Dockerfile
    environment:
      - NODE_ENV=production
    restart: unless-stopped

compose.override.yaml (development - auto-loaded):

services:
  app:
    build:
      target: development
    volumes:
      - ./app/src:/app/src:cached
    environment:
      - NODE_ENV=development
      - DEBUG=*
    ports:
      - "9229:9229"  # Debugger

compose.prod.yaml (production - explicit):

services:
  app:
    build:
      target: production
    deploy:
      replicas: 3
      resources:
        limits:
          cpus: '1'
          memory: 512M
      restart_policy:
        condition: on-failure
        max_attempts: 3

Usage:

# Development (auto-loads compose.override.yaml)
docker compose up

# Production
docker compose -f compose.yaml -f compose.prod.yaml up -d

# CI/CD
docker compose -f compose.yaml -f compose.ci.yaml up --abort-on-container-exit

Environment Variable Management

Pattern: .env Files per Environment

.env.template (committed to git):

# Database
DB_HOST=sqlserver
DB_PORT=1433
DB_NAME=myapp
DB_USER=sa
# DB_PASSWORD= (set in actual .env)

# Redis
REDIS_HOST=redis
REDIS_PORT=6379
# REDIS_PASSWORD= (set in actual .env)

# Application
NODE_ENV=production
LOG_LEVEL=info

.env.dev:

DB_PASSWORD=Dev!Pass123
REDIS_PASSWORD=redis-dev-123
NODE_ENV=development
LOG_LEVEL=debug

.env.prod:

DB_PASSWORD=${PROD_DB_PASSWORD}  # From CI/CD
REDIS_PASSWORD=${PROD_REDIS_PASSWORD}
NODE_ENV=production
LOG_LEVEL=info

Load specific environment:

docker compose --env-file .env.dev up

Security Patterns

Pattern: Run as Non-Root User

services:
  app:
    image: node:20-alpine
    user: "1000:1000"  # UID:GID
    read_only: true
    tmpfs:
      - /tmp
      - /app/.cache
    cap_drop:
      - ALL
    cap_add:
      - NET_BIND_SERVICE  # Only if binding to ports < 1024
    security_opt:
      - no-new-privileges:true

Create user in Dockerfile:

FROM node:20-alpine

# Create app user
RUN addgroup -g 1000 appuser && \
    adduser -D -u 1000 -G appuser appuser

# Set ownership
WORKDIR /app
COPY --chown=appuser:appuser . .

USER appuser

Pattern: Secrets Management

Docker Swarm secrets (production):

services:
  app:
    secrets:
      - db_password
      - api_key

secrets:
  db_password:
    file: ./secrets/db_password.txt
  api_key:
    external: true  # Managed by Swarm

Access secrets in application:

// Read from /run/secrets/
const fs = require('fs');
const dbPassword = fs.readFileSync('/run/secrets/db_password', 'utf8').trim();

Development alternative (environment):

services:
  app:
    environment:
      - DB_PASSWORD_FILE=/run/secrets/db_password

Health Check Patterns

Pattern: Comprehensive Health Checks

HTTP endpoint:

services:
  web:
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
      interval: 30s
      timeout: 3s
      retries: 3
      start_period: 40s

Database ping:

services:
  postgres:
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U $$POSTGRES_USER"]
      interval: 10s
      timeout: 3s
      retries: 3

Custom script:

services:
  app:
    healthcheck:
      test: ["CMD", "node", "/app/scripts/healthcheck.js"]
      interval: 30s
      timeout: 3s
      retries: 3
      start_period: 40s

healthcheck.js:

const http = require('http');

const options = {
  hostname: 'localhost',
  port: 8080,
  path: '/health',
  timeout: 2000
};

const req = http.request(options, (res) => {
  process.exit(res.statusCode === 200 ? 0 : 1);
});

req.on('error', () => process.exit(1));
req.on('timeout', () => {
  req.destroy();
  process.exit(1);
});
req.end();

Dependency Management

Pattern: Ordered Startup with Conditions

services:
  web:
    depends_on:
      database:
        condition: service_healthy
      redis:
        condition: service_started
      migration:
        condition: service_completed_successfully

  database:
    healthcheck:
      test: ["CMD-SHELL", "pg_isready"]
      interval: 10s

  redis:
    # No health check needed, just wait for start

  migration:
    image: myapp:latest
    command: npm run migrate
    restart: "no"  # Run once
    depends_on:
      database:
        condition: service_healthy

Network Isolation Patterns

Pattern: Three-Tier Network Architecture

services:
  nginx:
    image: nginx:alpine
    networks:
      - frontend
    ports:
      - "80:80"

  api:
    build: ./api
    networks:
      - frontend
      - backend

  database:
    image: postgres:16-alpine
    networks:
      - backend  # No frontend access

networks:
  frontend:
    driver: bridge
  backend:
    driver: bridge
    internal: true  # No external access

Pattern: Service-Specific Networks

services:
  web-app:
    networks:
      - public
      - app-network

  api:
    networks:
      - app-network
      - data-network

  postgres:
    networks:
      - data-network

  redis:
    networks:
      - data-network

networks:
  public:
    driver: bridge
  app-network:
    driver: bridge
    internal: true
  data-network:
    driver: bridge
    internal: true

Volume Patterns

Pattern: Named Volumes for Persistence

services:
  database:
    volumes:
      - db-data:/var/lib/postgresql/data  # Persistent data
      - ./init:/docker-entrypoint-initdb.d:ro  # Init scripts (read-only)
      - db-logs:/var/log/postgresql  # Logs

volumes:
  db-data:
    driver: local
    driver_opts:
      type: none
      o: bind
      device: /mnt/data/postgres  # Host path
  db-logs:
    driver: local

Pattern: Development Bind Mounts

services:
  app:
    volumes:
      - ./src:/app/src:cached  # macOS optimization
      - /app/node_modules  # Don't overwrite installed modules
      - app-cache:/app/.cache  # Named volume for cache

Volume mount options:

  • :ro - Read-only
  • :rw - Read-write (default)
  • :cached - macOS performance optimization (host authoritative)
  • :delegated - macOS performance optimization (container authoritative)
  • :z - SELinux single container
  • :Z - SELinux multi-container

Resource Management Patterns

Pattern: CPU and Memory Limits

services:
  app:
    deploy:
      resources:
        limits:
          cpus: '1.0'
          memory: 512M
        reservations:
          cpus: '0.5'
          memory: 256M

Calculate total resources:

# 3 app replicas + database + redis
services:
  app:
    deploy:
      replicas: 3
      resources:
        limits:
          cpus: '0.5'      # 3 x 0.5 = 1.5 CPUs
          memory: 512M     # 3 x 512M = 1.5GB

  database:
    deploy:
      resources:
        limits:
          cpus: '2'        # 2 CPUs
          memory: 4G       # 4GB

  redis:
    deploy:
      resources:
        limits:
          cpus: '0.5'      # 0.5 CPUs
          memory: 512M     # 512MB

# Total: 4 CPUs, 6GB RAM minimum

Logging Patterns

Pattern: Centralized Logging

services:
  app:
    logging:
      driver: "json-file"
      options:
        max-size: "10m"
        max-file: "3"
        compress: "true"
        labels: "app,environment"

Alternative: Log to stdout/stderr (12-factor):

services:
  app:
    logging:
      driver: "json-file"
      options:
        max-size: "10m"
        max-file: "3"

View logs:

docker compose logs -f app
docker compose logs --since 30m app
docker compose logs --tail 100 app

Init Container Pattern

Pattern: Database Migration

services:
  migration:
    image: myapp:latest
    command: npm run migrate
    depends_on:
      database:
        condition: service_healthy
    restart: "no"  # Run once
    networks:
      - backend

  app:
    image: myapp:latest
    depends_on:
      migration:
        condition: service_completed_successfully
    networks:
      - backend

YAML Anchors and Aliases

Pattern: Reusable Configuration

x-common-app-config: &common-app
  restart: unless-stopped
  logging:
    driver: "json-file"
    options:
      max-size: "10m"
      max-file: "3"
  security_opt:
    - no-new-privileges:true
  cap_drop:
    - ALL
  cap_add:
    - NET_BIND_SERVICE

services:
  app1:
    <<: *common-app
    build: ./app1
    ports:
      - "8001:8080"

  app2:
    <<: *common-app
    build: ./app2
    ports:
      - "8002:8080"

  app3:
    <<: *common-app
    build: ./app3
    ports:
      - "8003:8080"

Pattern: Environment-Specific Overrides

x-logging: &default-logging
  driver: "json-file"
  options:
    max-size: "10m"
    max-file: "3"

x-resources: &default-resources
  limits:
    cpus: '1'
    memory: 512M
  reservations:
    cpus: '0.5'
    memory: 256M

services:
  app:
    logging: *default-logging
    deploy:
      resources: *default-resources

Port Binding Patterns

Pattern: Security-First Port Binding

services:
  # Public services
  web:
    ports:
      - "80:8080"
      - "443:8443"

  # Development only (localhost binding)
  debug:
    ports:
      - "127.0.0.1:9229:9229"  # Debugger only accessible from host

  # Environment-based binding
  app:
    ports:
      - "${DOCKER_WEB_PORT_FORWARD:-127.0.0.1:8000}:8000"

Environment control:

# Development (.env.dev)
DOCKER_WEB_PORT_FORWARD=127.0.0.1:8000  # Localhost only

# Production (.env.prod)
DOCKER_WEB_PORT_FORWARD=8000  # All interfaces

Restart Policy Patterns

services:
  # Always restart (production services)
  app:
    restart: always

  # Restart unless manually stopped (most common)
  database:
    restart: unless-stopped

  # Never restart (one-time tasks)
  migration:
    restart: "no"

  # Restart on failure only (with Swarm)
  worker:
    deploy:
      restart_policy:
        condition: on-failure
        delay: 5s
        max_attempts: 3
        window: 120s

Validation and Testing

Pattern: Pre-Deployment Validation

#!/bin/bash
set -euo pipefail

echo "Validating Compose syntax..."
docker compose config > /dev/null

echo "Building images..."
docker compose build

echo "Running security scan..."
for service in $(docker compose config --services); do
  image=$(docker compose config | yq ".services.$service.image")
  if [ -n "$image" ]; then
    docker scout cves "$image" || true
  fi
done

echo "Starting services..."
docker compose up -d

echo "Checking health..."
sleep 10
docker compose ps

echo "Running smoke tests..."
curl -f http://localhost:8080/health || exit 1

echo "✓ All checks passed"

Complete Production Example

# Modern Compose format (no version field for v2.40+)

x-common-service: &common-service
  restart: unless-stopped
  logging:
    driver: "json-file"
    options:
      max-size: "10m"
      max-file: "3"
  security_opt:
    - no-new-privileges:true

services:
  nginx:
    <<: *common-service
    image: nginxinc/nginx-unprivileged:alpine
    ports:
      - "80:8080"
    volumes:
      - ./nginx/conf.d:/etc/nginx/conf.d:ro
    networks:
      - frontend
    depends_on:
      api:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "http://localhost:8080/health"]
      interval: 30s

  api:
    <<: *common-service
    build:
      context: ./api
      dockerfile: Dockerfile
      target: production
    user: "1000:1000"
    read_only: true
    tmpfs:
      - /tmp
    cap_drop:
      - ALL
    cap_add:
      - NET_BIND_SERVICE
    networks:
      - frontend
      - backend
    depends_on:
      migration:
        condition: service_completed_successfully
      redis:
        condition: service_started
    env_file:
      - .env
    healthcheck:
      test: ["CMD", "node", "healthcheck.js"]
      interval: 30s
      start_period: 40s
    deploy:
      resources:
        limits:
          cpus: '1'
          memory: 512M

  migration:
    image: myapp:latest
    command: npm run migrate
    restart: "no"
    networks:
      - backend
    depends_on:
      postgres:
        condition: service_healthy

  postgres:
    <<: *common-service
    image: postgres:16-alpine
    environment:
      - POSTGRES_PASSWORD_FILE=/run/secrets/postgres_password
    secrets:
      - postgres_password
    volumes:
      - postgres-data:/var/lib/postgresql/data
    networks:
      - backend
    healthcheck:
      test: ["CMD-SHELL", "pg_isready"]
      interval: 10s
    deploy:
      resources:
        limits:
          cpus: '1'
          memory: 2G

  redis:
    <<: *common-service
    image: redis:7.4-alpine
    command: redis-server --requirepass ${REDIS_PASSWORD}
    volumes:
      - redis-data:/data
    networks:
      - backend
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 10s

networks:
  frontend:
    driver: bridge
  backend:
    driver: bridge
    internal: true

volumes:
  postgres-data:
    driver: local
  redis-data:
    driver: local

secrets:
  postgres_password:
    file: ./secrets/postgres_password.txt

Common Mistakes to Avoid

  1. Using version field - Obsolete in 2025
  2. No health checks - Leads to race conditions
  3. Running as root - Security risk
  4. No resource limits - Can exhaust host resources
  5. Hardcoded secrets - Use secrets or environment variables
  6. No logging limits - Disk space issues
  7. Bind mounts in production - Use named volumes
  8. Missing restart policies - Services don't recover
  9. No network isolation - All services can talk to each other
  10. Not using .dockerignore - Larger build contexts

Troubleshooting Commands

# Validate syntax
docker compose config

# View merged configuration
docker compose config --services

# Check which file is being used
docker compose config --files

# View environment interpolation
docker compose config --no-interpolate

# Check service dependencies
docker compose config | yq '.services.*.depends_on'

# View resource usage
docker stats $(docker compose ps -q)

# Debug startup issues
docker compose up --no-deps service-name

# Force recreate
docker compose up --force-recreate service-name

References

FAQ

What does the compose-patterns-2025 skill do?

Docker Compose production patterns for 2025 (multi-environment, health checks, modern features). PROACTIVELY activate for: (1) production Docker Compose patterns, (2) multi-environment strategies (compose.override.yml, compose.production.yml), (3) HEALTHCHECK and dependson with conditions (servicehealthy, servicestarted), (4) Compose v2 features (profiles, includes, watch), (5) secrets and configs (Compose secrets), (6) network segmentation in Compose, (7) resource limits (deploy.resources), (8) restart policies, (9) Compose for swarm vs standalone, (10) migrating from v3 to current Compose Spec. Provides: production compose templates, multi-env override patterns, healthcheck recipes, secrets handling, and Compose Spec migration.

How do I install compose-patterns-2025?

Run npx skills add https://github.com/josiahsiegel/claude-plugin-marketplace --skill compose-patterns-2025 in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/compose-patterns-2025/ (personal) or .claude/skills/compose-patterns-2025/ (project).

Which AI agents can use compose-patterns-2025?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is compose-patterns-2025 safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains compose-patterns-2025?

It is published by josiahsiegel in josiahsiegel/claude-plugin-marketplace. It has 176 recorded installs.

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azure-deploy

microsoft/azure-skills

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.

OfficialDevOps & Cloud568.6K installs

azure-validate

microsoft/azure-skills

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.

OfficialDevOps & Cloud568K installs