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Find your breaking point before your users do: designing realistic load scenarios, driving them with Locust or k6, reading the latency percentiles that matter, locating the true bottleneck, and turning results into capacity plans and autoscaling signals.
Move Django file storage off local disk: django-storages with S3-compatible object storage, private files via signed URLs, direct browser uploads with presigned POST, streaming large files, async image pipelines, and CDN + security pitfalls.
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.
Check out our premium Django packages and SaaS templates to jumpstart your project.