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Per-seat pricing is a counter. Usage pricing is a distributed accounting system. Record events idempotently, aggregate without melting the database, reconcile with Stripe, and make an invoice a customer can verify.
Privacy law becomes a schema problem long before it becomes a legal one. Model retention, anonymise without breaking your reports, answer access and erasure requests in code, and keep an audit trail that stands up.
Escape fat views and fat models with a pragmatic clean architecture for Django: a service layer for business operations, selectors for reads, clear domain/framework boundaries, transactions and validation in the right place, and business logic you can test without a request.
Do multilingual Django properly: marking strings, the message-file workflow, pluralization, URL-based language selection, locale-aware formatting, time zones, translating database content (not just the UI), RTL, and running translations across a real team.
Turn the Django admin into a real operations console: powerful change lists, query optimization, bulk actions, inline formsets, autocomplete, custom filters and views, dashboards, object-level permissions — and how to secure and speed up the admin in production.
Turn Django into a spatial framework with GeoDjango and PostGIS: geometry fields, SRIDs, spatial lookups, nearest-neighbor distance queries, importing geographic datasets, GiST indexing, and serving maps — plus the coordinate-system pitfalls to avoid.
A production guide to Stripe in Django: the object model, Checkout vs PaymentIntents, subscription lifecycles, why webhooks are the source of truth, idempotency keys, and Strong Customer Authentication — without card data touching your server.
Async Django done right: the ASGI model, async views and the async ORM, safely mixing sync and async with sync_to_async, serving under Uvicorn, and the decision of when concurrency actually pays off.
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.
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.
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.
A pragmatic guide to caching in Django: choose the right level (site, view, fragment, low-level), avoid the stampede, and solve the only hard problem — invalidation — with versioned keys and signal-driven busts.
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