This guide provides step-by-step instructions for deploying your application to various environments. We'll cover common deployment strategies and best practices to ensure a smooth and reliable rollout.
Before you begin, ensure you have the following:
Ensure your deployment target is ready. This might involve:
For example, on a Debian/Ubuntu system:
sudo apt update
sudo apt install nginx nodejs npm
Copy your application's build artifacts to the deployment server. Common methods include:
Using Git:
git clone https://github.com/your-repo/your-app.git /var/www/your-app
cd /var/www/your-app
# Depending on your build process, you might need to run build commands here
# npm install --production
# pm2 start app.js --name your-app
Update configuration files with environment-specific settings:
Ensure your configuration is stored securely and not hardcoded in the source. Using environment variables is highly recommended.
Example .env file:
DATABASE_URL=postgres://user:password@host:port/database
API_KEY=your_secret_api_key
NODE_ENV=production
If your application relies on external libraries or packages, install them now.
# For Node.js projects
npm install --production
# For Python projects
pip install -r requirements.txt
Ensure your application is running and configured to start automatically on server reboot.
Using a process manager like PM2 for Node.js:
pm2 start app.js --name my-node-app
pm2 startup systemd
pm2 save
For systemd services:
sudo systemctl start your-app.service
sudo systemctl enable your-app.service
If you're using a web server like Nginx or Apache as a reverse proxy:
Example Nginx configuration snippet:
server {
listen 80;
server_name your-domain.com;
location / {
proxy_pass http://localhost:3000; # Assuming your app runs on port 3000
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection 'upgrade';
proxy_set_header Host $host;
proxy_cache_bypass $http_upgrade;
}
}
After configuration changes, reload the web server:
sudo systemctl reload nginx
Have a plan in place to revert to a previous stable version if the deployment fails or introduces critical issues. This often involves: