How do I host an API and database together?

You can host an API and a database together in a few common ways, depending on your size, budget, and reliability needs.

Common setups

1. Same server / same VM

• Run your API on one machine
• Run the database on the same machine
• Good for small projects, prototypes, or low traffic

Pros

• Simple
• Cheap
• Easy networking

Cons

• If the server goes down, both go down
• API and DB compete for CPU/RAM/disk
• Harder to scale independently

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2. Separate API server and managed database

• Host the API on a server or platform like:
  • Render
  • Fly.io
  • Railway
  • Heroku
  • AWS ECS / EC2
  • Google Cloud Run
  • Azure App Service
• Host the database as a managed service:
  • Postgres on Supabase, Neon, RDS, Cloud SQL, etc.
  • MySQL on RDS, Cloud SQL, etc.

Pros

• Better reliability
• Easier backups and upgrades
• Database is isolated from app crashes

Cons

• Slightly more expensive
• Need to configure network access and credentials

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3. Docker Compose on one host

• Put API and database in separate containers
• Run both with Docker Compose on one VM

Example:

• api container
• postgres container
• shared Docker network

Pros

• Easy local-to-production consistency
• Good for small deployments
• Simple to start

Cons

• Still one machine
• You must manage persistence and backups yourself

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Recommended approach for most small apps

If you’re starting out, use:

• API: containerized app or platform deployment
• Database: managed Postgres

This gives you:

• less maintenance
• automatic backups
• easier scaling later

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Basic architecture

Client -> API -> Database

• The client never talks to the DB directly
• The API connects to the DB using a connection string
• Store secrets in environment variables, not in code

Example environment variables:

DATABASE_URL=postgresql://user:password@host:5432/mydb
PORT=3000

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Things to watch out for

Security

• Don’t expose your database to the public internet unless necessary
• Use firewall rules / private networking if possible
• Use strong passwords and SSL/TLS
• Restrict DB access to your API service

Backups

• Set up automatic backups for the database
• Test restoring from backup

Scaling

• If traffic grows, scale API and DB separately
• Use connection pooling for Postgres if needed

Migrations

• Use a migration tool:
  • Prisma Migrate
  • Flyway
  • Liquibase
  • Sequelize migrations
  • Alembic
  • Django migrations

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If you want the simplest practical path

1. Build your API
2. Use Postgres
3. Deploy the API to a platform
4. Use a managed DB service
5. Put the DB connection string in environment variables
6. Turn on backups

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Example with Docker Compose

services:
  api:
    build: .
    ports:
      - "3000:3000"
    environment:
      DATABASE_URL: postgres://user:password@db:5432/mydb
    depends_on:
      - db

  db:
    image: postgres:16
    environment:
      POSTGRES_USER: user
      POSTGRES_PASSWORD: password
      POSTGRES_DB: mydb
    volumes:
      - db_data:/var/lib/postgresql/data

volumes:
  db_data:

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If you want, I can show you:

1. a cheap beginner setup,
2. a Docker Compose example, or
3. a production setup on AWS / Render / Fly.io / Railway.