Optimize
Performance and reliability improvements for stable, scalable Django operations.
Best for teams with a working stack who want stronger uptime and smoother deploys.
Grouped by guide type, then difficulty
Narrow the list by experience level or stack, then work through the matching guides in recommended order.
Foundations guides
Learn the concepts, tradeoffs, and prerequisites before you change production infrastructure.
A good app deploy can still fail if the database migration step is unsafe. That is the real problem behind many Django migration deployment issues in production.
A lot of Django apps reach production with local-development assumptions still in place: DEBUG=True, weak host validation, secrets in .env files with broad permissions, Gunicorn...
A production Django deployment needs a reliable way to answer a simple question: is this instance safe to keep running and safe to receive traffic?
A default Django project does not give you a production-safe logging setup.
Many Django teams start with a manual deployment process over SSH. That is normal: log into a Linux server, pull code, install dependencies, run migrations, collect static files...
Tasks guides
Follow actionable deployment and operations guides you can work through step by step.
Local logs are not enough once a Django app is in production. Exceptions can happen after deploys, during background jobs, or only under real user traffic patterns.
A manual Django deployment often looks simple at first: SSH into a server, pull code, install dependencies, run migrations, collect static files, restart Gunicorn, and hope the...
Django and Gunicorn log rotation becomes a production issue as soon as your app writes request logs, error logs, or application logs to disk for more than a few days.
A Django app is only recoverable if its PostgreSQL data is recoverable. In production, that means more than occasionally running pg_dump.
A standard Django deploy often causes a brief outage because the old app process stops before the new one is fully ready.
Manual server creation is one of the fastest ways to introduce deployment drift into a Django environment.
A failed Django release can break more than page requests. It can also break background workers, scheduled jobs, static asset loading, startup commands, or database compatibility.
Pre-release load testing answers a practical deployment question: will this Django release survive real traffic on your actual production stack.
If you want to optimize Gunicorn workers for Django, the main production risk is getting concurrency wrong.