Learning path · 14 steps

Releases without downtime

Script the release, make migrations backward compatible, and switch, verify, or roll back without users noticing.

from manual deploys to safe releasesScriptedMigrationsZero downtimeVerifyRollbackCanaryCompatible migrations are the step everything else depends on

This path moves from manual deploys to releases that do not interrupt users: a scripted deploy, compatible and reviewed migrations, non-blocking schema and index changes, renaming and removing fields safely, zero-downtime switching, verification, rolling back releases and migrations, and finally blue-green and canary releases.

Compatible migrations are the step everything else depends on, so give that guide the most attention.

The steps

  1. Manual vs Automated Django Deployment: When to Switch

    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...

  2. How to Write a Django Deployment Bash Script

    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...

  3. Django Migration Strategy for Safe Deployments

    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.

  4. Django Migration Review Checklist

    A code-review checklist for Django migrations before they reach production: backward compatibility with running code, locking and table rewrites, large-table operations, data migrations, reversibility, dependencies, and deployment order.

  5. Run Schema Changes on Large Tables in Django Safely

    Change large PostgreSQL tables from Django migrations without outages: lock_timeout, concurrent indexes, NOT VALID constraints, and batched backfills.

  6. Rename a Django Model Field Without Downtime

    Rename a Django model field or column without breaking running code during rolling deploys: use db_column to rename in Python only, or expand and contract with a new column, dual writes, backfill, and removal across several releases.

  7. Remove a Django Field Without Downtime

    Drop a Django model field and its database column safely during rolling deploys: stop using the field in code first, remove it from Django’s state with SeparateDatabaseAndState, drop the column in a later release, and handle NOT NULL columns and dependent indexes.

  8. Add Database Indexes in Django Without Locking Tables

    Add PostgreSQL indexes to large tables in a live Django app without blocking writes: AddIndexConcurrently in non-atomic migrations, handling failed concurrent builds, finding missing indexes, and removing unused ones safely.

  9. How to Set Up Zero-Downtime Deployments for Django

    A standard Django deploy often causes a brief outage because the old app process stops before the new one is fully ready.

  10. Post-Deploy Verification Checklist for Django

    Verify a Django release after every deploy: smoke tests, release version checks, migrations, static files, background jobs, and latency monitoring.

  11. How to Roll Back a Django Release Safely

    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.

  12. Roll Back a Django Migration in Production

    Undo a Django migration safely in production: migrate an app back to a previous migration, understand which operations are reversible, handle data loss from reverting added columns and data migrations, roll back code and schema in the right order, and prefer forward fixes.

  13. Blue-Green Deployments for Django

    Run blue-green deployments for Django with Nginx: two release environments, smoke tests, instant traffic switching, migration rules, and fast rollback.

  14. Canary Releases for Django

    Release Django changes to a small share of traffic first: run stable and canary versions side by side, split traffic in Nginx or a load balancer, compare errors and latency per version, and promote or roll back.

Start with step 1

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