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Python & Django

Getting a Python Service Running Reliably

Deploying Python services reliably: an application server and process supervisor, configuration from the environment, health checks and a tested rollback.

Updated 2 min readBy SpiderHunts Technologies

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Quick answer — TL;DR

Run behind a proper application server with a process supervisor, configure from the environment, deploy from version control, and have a tested rollback.

Never run the development server in production

The built-in development servers in Python frameworks are single-threaded, unoptimised and explicitly not intended for production. They are also frequently found running production systems.

Behind a production application server, with a reverse proxy in front and a process supervisor keeping it alive. That is the minimum viable arrangement.

The deployment stack

  1. A production application server running the Python code
  2. A reverse proxy handling TLS, static files and buffering
  3. A process supervisor restarting anything that exits
  4. Separate worker processes for background tasks
  5. Log output collected rather than written to a file nobody reads

Configuration from the environment

  • No credentials in the repository, ever
  • Different configuration per environment without code changes
  • Configuration validated at startup, failing fast if something is missing
  • Secrets managed properly rather than in a plain file

An application that starts successfully with a missing configuration value and fails at three in the morning is a preventable problem.

Deploy from version control

RequirementWhy
Deploy a specific commitYou know what is running
Dependencies installed at deployReproducible
Migrations run in orderSchema matches code
Atomic switchNo half-deployed state
Tested rollbackRecovery is routine

Health checks and graceful shutdown

A health endpoint lets monitoring and load balancers know whether the service is actually working, not just running. It should check dependencies rather than always returning success.

Graceful shutdown — finishing in-flight requests before exiting — means deployments do not drop work. Both are small pieces of work with disproportionate operational value.

FAQ

Frequently asked questions

The questions readers ask us after this guide.

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Containers or plain deployment?

Containers give consistency and add operational complexity. For a single service and a small team, a plain deployment is frequently simpler.

How do we handle secrets?

Environment variables at minimum, a secrets manager where the environment supports it. Never in the repository.

What about zero-downtime deployment?

Achievable with an atomic switch and graceful shutdown. Worth it where downtime has a cost.

Should workers deploy with the application?

Usually together, so code and tasks stay in step. Watch for in-flight tasks during the switch.

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