Managing environment variables across different environments can be tricky.Managing environment variables across different environments can be tricky.

Docker Environment Variables: Development vs Production Made Simple

When building applications with Docker, managing environment variables across different environments can be tricky. Here’s a clean, practical approach we’ll demonstrate with a real FastAPI application that keeps development smooth while ensuring production deployments are secure.

The Problem We’re Solving

Most developers start with a simple setup that works locally but creates problems in production:

# This works locally but causes issues in production

version: '3.8'  services:    my-app:      build: .      env_file: .env  # This will override production env vars! 

\ Problems:

  • .env file overrides production environment variables
  • Sensitive data accidentally gets deployed
  • Production servers can’t inject their own configuration

Our Solution: Clean Separation with Docker Compose

We’ll build a FastAPI application that demonstrates the right way to handle this.

The Application Structure

fastapi-docker-env-demo/  ├── main.py # FastAPI application ├── requirements.txt # Dependencies ├── Dockerfile # Production-ready container ├── docker-compose.yml # Base config (production-ready) ├── docker-compose.override.yml # Development overrides ├── .env # Local development variables └── .env.production.example # Production reference 

Step 1: FastAPI Application with Environment Config

main.py:

import os from fastapi import FastAPI import uvicorn from dotenv import load_dotenv  # Load environment variables from .env file if it exists load_dotenv()  app = FastAPI(     title="Docker Environment Demo",     description="Demonstrating Docker environment variable best practices",     version="1.0.0" )  # Environment configuration with sensible defaults class Config:     # Application settings     APP_NAME = os.getenv("APP_NAME", "Docker Environment Demo")     ENVIRONMENT = os.getenv("ENVIRONMENT", "development")     DEBUG = os.getenv("DEBUG", "false").lower() == "true"     HOST = os.getenv("HOST", "0.0.0.0")     PORT = int(os.getenv("PORT", "8000"))      # Database settings     DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:///./dev.db")      # API settings     API_KEY = os.getenv("API_KEY", "dev-api-key-12345")     SECRET_KEY = os.getenv("SECRET_KEY", "dev-secret-key")      # Third-party services     REDIS_URL = os.getenv("REDIS_URL", "redis://localhost:6379")     EMAIL_SERVICE_URL = os.getenv("EMAIL_SERVICE_URL", "https://api.dev-email-service.com")      # Feature flags     ENABLE_CACHING = os.getenv("ENABLE_CACHING", "true").lower() == "true"     ENABLE_ANALYTICS = os.getenv("ENABLE_ANALYTICS", "false").lower() == "true"  config = Config()  @app.get("/") async def root():     """Welcome endpoint with basic app info"""     return {         "message": f"Welcome to {config.APP_NAME}!",         "environment": config.ENVIRONMENT,         "debug": config.DEBUG,         "version": "1.0.0"     }    @app.get("/env") async def get_environment_variables():     """Shows all environment variables currently loaded by the app"""     return {         "APP_NAME": config.APP_NAME,         "ENVIRONMENT": config.ENVIRONMENT,         "DEBUG": config.DEBUG,         "HOST": config.HOST,         "PORT": config.PORT,         "DATABASE_URL": config.DATABASE_URL,         "API_KEY": config.API_KEY,         "SECRET_KEY": config.SECRET_KEY,         "REDIS_URL": config.REDIS_URL,         "EMAIL_SERVICE_URL": config.EMAIL_SERVICE_URL,         "ENABLE_CACHING": config.ENABLE_CACHING,         "ENABLE_ANALYTICS": config.ENABLE_ANALYTICS     }  if __name__ == "__main__":     uvicorn.run(         "main:app",         host=config.HOST,         port=config.PORT,         reload=config.DEBUG,         log_level="debug" if config.DEBUG else "info"     ) 

Step 2: Production-Ready Docker Configuration

Dockerfile:

FROM python:3.11-slim  WORKDIR /app  # Install dependencies COPY requirements.txt . RUN pip install --no-cache-dir -r requirements.txt  # Copy application COPY . .  # Security: non-root user RUN adduser --disabled-password appuser && chown -R appuser /app USER appuser  EXPOSE 8000  CMD ["python", "main.py"] 

docker-compose.yml (Production-ready base):

version: '3.8' services:   fastapi-app:     build: .     image: fastapi-env-demo:latest     container_name: fastapi-env-demo     ports:       - "8000:8000"     environment:       - PYTHONPATH=/app     restart: unless-stopped 

Step 3: Development Override Configuration

docker-compose.override.yml (Development additions):

version: '3.8'  services:   fastapi-app:     env_file:       - .env     environment:       # Override for development       - ENVIRONMENT=development       - DEBUG=true     volumes:       # Enable hot reload in development       - .:/app     command: ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"] 

\

Step 4: Environment Variable Files

.env (Local development):

# Development environment variables APP_NAME=Docker Environment Demo ENVIRONMENT=development DEBUG=true HOST=0.0.0.0 PORT=8000  # Database settings DATABASE_URL=sqlite:///./dev.db  # API settings API_KEY=dev-api-key-12345 SECRET_KEY=dev-secret-key-for-local-development  # Third-party services REDIS_URL=redis://localhost:6379 EMAIL_SERVICE_URL=https://api.dev-email-service.com  # Feature flags ENABLE_CACHING=true ENABLE_ANALYTICS=false 

.env.production.example (Production reference):

# Set these on your production server APP_NAME=My Production API ENVIRONMENT=production DEBUG=false DATABASE_URL=postgresql://user:pass@db:5432/prod API_KEY=your-production-api-key SECRET_KEY=your-super-secure-production-secret REDIS_URL=redis://redis:6379 EMAIL_SERVICE_URL=https://api.your-email-service.com ENABLE_CACHING=true ENABLE_ANALYTICS=true 

How It Works

Local Development Workflow

# Simply run this - Docker Compose automatically merges the files  docker-compose up --build 

What happens:

  1. Loads base docker-compose.yml
  2. Automatically merges docker-compose.override.yml
  3. Loads your .env file via env_file directive
  4. Enables hot reload and debug mode
  5. Mounts source code for live editing

Production Deployment

# Deploy using only the base configuration docker-compose -f  docker-compose.yml up -d --build 

then using .env.production.example file in the production environment.For example we are deploying to Digitalocean app platform that is using docker registry. you should connect to the docker registry, tag you images like the following then push.

docker tag <image-name>:<tag> <registry-url>/<reg-name>/<image-name>:<tag> docker push <registry-url>/<reg-name>/<image-name>:<tag>

in Digitalocean app platform, you can bluk load the env variables by going to settings, then in the “App-LevelEnvironment Variables” section choose “Bulk Editor” like here:

and here you go, let test now

Testing Your Setup

The /env endpoint makes it super easy to verify your configuration:

Development Test

curl http://localhost:8000/env 

Response:

Production Test

curl http://your-server:8000/env 

For example you deploy to Digitalocean app platform that is

Response:

Quick Start

  1. Clone the project
  2. Start development: docker-compose up --build
  3. Visit: http://localhost:8000/env to see your configuration

Conclusion

This approach gives you the best of both worlds:

  • Easy local development with automatic .env loading
  • Clean production deployments that respect server environment variables
  • Same Docker image works in all environments
  • Simple testing with the /env endpoint

The key insight: Keep your base docker-compose.yml production-ready, and use override files for development conveniences.

This pattern scales from simple applications to complex microservices and works with any deployment platform. Your development team gets a smooth workflow, and your production deployments stay secure and maintainable.

The complete working example is available as a FastAPI application that demonstrates all these concepts in action.

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

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