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Stop guessing why your app is slow. Profile a live Django process without restarting it using py-spy, trace per-request queries and timings with django-silk, read flame graphs, and turn findings into concrete fixes.
Ship to production continuously without big-bang risk. Build a feature-flag layer in Django, roll features out to a percentage of users, run A/B experiments, and add instant kill switches for when something goes wrong.
A pragmatic Kubernetes setup for a real Django app: Deployment + Service + Ingress, ConfigMaps and Secrets done right, liveness/readiness probes that work, HPA on the right metric, and PgBouncer in front of PostgreSQL.
Three pillars — logs, metrics, traces — wired into a real Django app. Sentry for errors, structlog for context, django-prometheus for golden signals, OpenTelemetry for distributed traces. The minimum to debug prod without ssh-ing in.
Build a complete CI/CD pipeline: automated tests, linting, security scans, Docker builds, and zero-downtime deploys. Reusable workflows, matrix builds, and deployment strategies.
Build lean, secure, production-ready Django Docker images. Multi-stage builds, dependency caching, non-root users, compiled static files, and health checks that shrink images from 1.2GB to 150MB.
Step-by-step guide to deploying a Django application on a Linux server with Gunicorn, Nginx, and systemd. Production-ready setup.
Check out our premium Django packages and SaaS templates to jumpstart your project.