CMS

How to Run Strapi CMS Using Docker

Introduction

Strapi, an open-source headless CMS, can be efficiently deployed using Docker, a platform for containerizing applications. This guide explains how to download and run Strapi with Docker, offering a portable and consistent setup for development or production.

Why Use Docker with Strapi?

Docker brings several advantages to Strapi:

  • Consistency: Run the same environment across machines.

  • Ease of Use: Simplifies dependency and database management.

  • Portability: Deploy on any system with Docker installed.

  • Scalability: Easily scale containers for larger projects.

Prerequisites

Prepare these before starting:

  • Docker: Install Docker Desktop or Docker Engine (verify with docker --version).

  • Docker Compose: Install with docker-compose --version (optional but recommended).

  • Git: Verify with git --version.

  • Node.js: Install version 18+ locally for initial setup.

Step-by-Step Guide to Download and Set Up

Follow these steps to run Strapi with Docker:

 

Step 1: Clone a Strapi Project

  • Run git clone https://github.com/strapi/strapi-example-project.git (or create your own with npx create-strapi-app@latest my-project).
  • Navigate with cd strapi-example-project.

 

Step 2: Create a Dockerfile

  • Create a file named Dockerfile in the project root with:
FROM node:18-alpineWORKDIR /appCOPY package*.json ./RUN npm installCOPY . .RUN npm run buildEXPOSE 1337CMD ["npm", "run", "start"]

 

  • This builds a non-production image for Strapi.

 

Step 3: Create a docker-compose.yml (Optional)

  • Create docker-compose.yml with:
version: '3'services: strapi: build: . ports: - "1337:1337" environment: - DATABASE_CLIENT=postgres - DATABASE_HOST=db - DATABASE_PORT=5432 - DATABASE_NAME=strapi - DATABASE_USERNAME=strapi - DATABASE_PASSWORD=strapi - NODE_ENV=production depends_on: - db db: image: postgres:13 environment: - POSTGRES_DB=strapi - POSTGRES_USER=strapi - POSTGRES_PASSWORD=strapi volumes: - db-data:/var/lib/postgresql/datavolumes: db-data:

 

  • This sets up Strapi with a PostgreSQL database.

 

Step 4: Build and Run the Container

  • Build the image with docker build -t strapi-app
  • Run the container with docker run -p 1337:1337 -d strapi-app
  • Or use docker-compose up -d if using the compose file.

 

Step 5: Configure and Access

  • Access Strapi at http://localhost:1337.
  • Set up the admin user as prompted.
  • Adjust database.js or environment variables if using a custom database.

 

Step 6: Manage the Container

  • Check running containers with docker ps.
  • View logs with docker logs <container-id>.
  • Stop the container with docker stop <container-id>.

Troubleshooting Common Issues

Resolve these potential problems:

  • Build Fails: Ensure the Dockerfile syntax is correct and dependencies are installed.

  • Port Conflict: Change the port mapping (e.g., -p 1340:1337) if 1337 is busy.

  • Database Connection: Verify DATABASE_URL or environment variables and ensure the database container is running.

  • Container Stops: Check logs for errors and ensure sufficient resources.

Tips for a Successful Docker Deployment

Enhance your setup with these suggestions:

  • Use Volumes: Mount local folders with -v /local/path:/app to persist data.

  • Optimize Image: Use multi-stage builds to reduce image size.

  • Network Configuration: Use a custom network with docker network create for isolation.

  • Monitor Containers: Use docker stats to track resource usage.

Advanced Configuration

Take your Docker deployment further:

  • Multi-Container Setup: Add services like Redis or a CDN proxy.

  • Production Tweaks: Set NODE_ENV=production and use PM2 inside the container.

  • CI/CD Integration: Use GitHub Actions to build and push images to a registry.

Conclusion

Downloading and running Strapi with Docker provides a portable and efficient CMS solution. By creating a Dockerfile, using Docker Compose, and managing your containers, you can set up a robust environment. With troubleshooting tips and advanced options, your Strapi deployment will be ready for any project.

 

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