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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.
Move from a slow, brittle test suite to a fast, trustworthy one. Master pytest-django fixtures, generate data with factory_boy, find edge cases automatically with property-based testing, and measure real coverage with mutation testing.
Lock down server-to-server and public APIs. Layer per-client rate limiting, verify request integrity with HMAC signatures, defeat replay attacks with nonces and timestamps, and authenticate machines with mutual TLS.
Kill the password. Implement WebAuthn/passkeys in Django end to end — registration and authentication ceremonies, public-key credential storage, the security model that makes passkeys phishing-resistant, and a sane fallback strategy.
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.
Decouple your Django services with events instead of synchronous calls. Choose between Redis Streams and Kafka, guarantee delivery with the transactional outbox pattern, and build idempotent consumers that survive retries.
When one PostgreSQL box stops keeping up, scale reads horizontally. Add streaming replicas, route reads with a Django database router, pool connections through PgBouncer, and handle replication lag without serving stale data.
Serve many customers from one Django codebase without leaking data between them. Compare shared-schema, schema-per-tenant, and database-per-tenant; implement tenant routing middleware; and lock down the query layer.
Build a typed GraphQL API on Django with Strawberry. Design a clean schema, batch nested resolvers with DataLoaders to eliminate N+1, paginate with Relay connections, and secure against query-depth abuse.
Go past the quickstart. Architect DRF for production: routed ViewSets, serializer query optimization, custom throttling, atomic nested writes, and versioning that survives breaking changes.
From the first alert through containment, eradication, forensics, and post-incident review — a structured playbook for handling web app breaches.
How professional adversary simulation operates against web applications — initial access via phishing, persistence inside accounts, lateral movement through connected systems.
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