Files
Alberto Arena fe84e0d748 build: raise Node heap for production build
The production build renders thousands of modules and exceeds V8's
default heap ceiling, so `npm run build` fails with a JavaScript
heap out-of-memory error during "rendering chunks". Set
NODE_OPTIONS=--max-old-space-size=8192 on the Vite build step via
cross-env (kept portable for Windows), so a fresh clone builds
without any manual environment setup. Document the matching Docker
memory requirement in DOCKER.md, since the container build hits the
same limit when the Docker VM has too little RAM.
2026-08-04 18:06:11 +02:00

3.9 KiB

Docker Deployment Guide

This guide explains how to run StackRender using Docker.

Quick Start

The easiest way to run StackRender:

docker compose up -d

The application will be available at http://localhost:8080

To stop the application:

docker compose down

Using Docker CLI

Build the image:

docker build -t stackrender .

Run the container:

docker run -d -p 8080:80 --name stackrender stackrender

Stop and remove the container:

docker stop stackrender
docker rm stackrender

Configuration

Port Mapping

By default, the application runs on port 80 inside the container and is mapped to port 8080 on the host. You can change this in docker-compose.yml:

ports:
  - "YOUR_PORT:80"

Or when using Docker CLI:

docker run -d -p YOUR_PORT:80 --name stackrender stackrender

Health Check

The Docker Compose configuration includes a health check that verifies the application is responding correctly:

healthcheck:
  test: ["CMD", "wget", "--quiet", "--tries=1", "--spider", "http://localhost:80/"]
  interval: 30s
  timeout: 10s
  retries: 3
  start_period: 40s

Architecture

Multi-Stage Build

The Dockerfile uses a multi-stage build approach:

  1. Builder Stage: Uses Node.js 20 to install dependencies and build the application
  2. Production Stage: Uses Nginx Alpine to serve the static files

This approach minimizes the final image size by excluding build tools and dependencies.

Nginx Configuration

The application uses a custom Nginx configuration (nginx.conf) that:

  • Enables gzip compression for better performance
  • Sets security headers (X-Frame-Options, X-Content-Type-Options, X-XSS-Protection)
  • Handles client-side routing (React Router)
  • Configures caching for static assets

Troubleshooting

Build Issues

If you encounter SSL certificate issues during the build, the Dockerfile includes a workaround:

RUN npm config set strict-ssl false && npm install

This is necessary in some build environments with certificate validation issues.

Out of Memory During Build

The production build is memory-intensive (the app compiles thousands of modules). If docker compose up or docker build fails with an out-of-memory error such as Reached heap limit or cannot allocate memory during the npm run build step, increase the memory available to Docker:

  • Docker Desktop: Settings, then Resources, then Memory. Set it to at least 6-8 GB and apply.

The Dockerfile raises the Node heap (NODE_OPTIONS=--max-old-space-size) for the build. That heap size must fit inside the memory available to Docker, so raising the Docker memory limit is the fix when the build runs out of memory.

Container Not Starting

Check the logs:

docker logs stackrender

Or with Docker Compose:

docker compose logs

Port Already in Use

If port 8080 is already in use, you can change it in docker-compose.yml or use a different port with Docker CLI:

docker run -d -p 8081:80 --name stackrender stackrender

Development

For development, it's recommended to run the application directly with Node.js instead of Docker:

npm install
npm run dev

Docker is primarily intended for production deployments or testing the production build locally.

Production Deployment

For production deployments:

  1. Build the image:

    docker build -t stackrender:production .
    
  2. Push to your container registry:

    docker tag stackrender:production your-registry/stackrender:latest
    docker push your-registry/stackrender:latest
    
  3. Deploy using your orchestration tool (Kubernetes, Docker Swarm, etc.)

Additional Resources