Django + DRF APIs that hold up under real field load, not just in a dev container.
The endpoints behind pan-India last-mile delivery for microfinance disbursement and collection. Thousands of agents in the field, real-time, on patchy 4G, and the backend stays boring.
api / v1, production endpoints
Django REST Framework
- POST/api/v1/agents/{id}/location/field agent
- POST/api/v1/deliveries/{id}/confirm/field agent
- GET/api/v1/deliveries/?status=pending®ion={r}ops console
- POST/api/v1/disbursements/{id}/reconcile/settlement worker
Why Django, specifically
Batteries included. Boring on purpose. Hard to break.
Ready backend
You inherit a working backend on day one.
Models, migrations, admin, auth, sessions, CSRF, password reset, permissions, all already there. We write business logic, not the eighty-third re-implementation of user signup.
Throughput when it matters
DRF, Gunicorn and Postgres keep up.
The endpoints under field-load (agent location, delivery confirm) are mostly DB-bound. Tuned indexes, judicious caching, read replicas where they help. Django doesn't get in the way.
Python where it belongs
Data fluency at the backend.
Reconciliation, settlement, route optimisation, partner-API ingestion, all easier to write in Python than in a Node service. Same language as the ML and data team's notebooks.
What you get
Eight engagement shapes.
Each one is concrete work we've shipped repeatedly on Django + DRF, against a real production load profile.
Django + DRF API builds
Greenfield Django 5.x with Django REST Framework. Typed serializers, viewsets, throttling, pagination, JWT or Token auth, done in the boring conventional way that ships fast and scales.
Real-time field-ops endpoints
Location pings, status updates, delivery confirmations from thousands of mobile clients in the field. Built to absorb burst traffic without burning the database.
Background jobs at scale
Celery + Redis for the work that doesn't belong on the request thread: settlement runs, SMS and WhatsApp dispatch, geocoding, route optimisation, reporting exports.
Mobile-client-ready APIs
Offline-tolerant, paginated, retry-safe. Designed so a delivery agent's app on patchy 4G doesn't double-charge or lose a confirmation.
Legacy Django modernisation
Django 1.x and 2.x codebases upgraded to current LTS. Migrations rebased cleanly, deprecated patterns replaced, test suite restored.
Django Admin as the ops console
The free dashboard you already paid for. Customised list views, filters, bulk actions, audit logs. The operations team runs the business from it.
Integration surfaces
Razorpay, Stripe, NPCI rails, third-party microfinance partner APIs, SMS gateways. Webhook reliability done with idempotency keys and DLQs.
Deployment and ops
Gunicorn behind nginx, Forge, Render or AWS targets, structured logging, Sentry, Postgres tuning. Plus the Celery and beat schedule that no one wants to be on call for.
The Field-Ops Heat Map
What “API under field load” actually looks like.
Request density across a typical week on a pan-India last-mile delivery platform. Peaks during disbursement and collection windows (10:00 to 14:00 and 16:00 to 19:00). Weekends still active, just lower. Your stack has to absorb those peaks without burning the database.
Evidence, pan-India last-mile delivery
Three delivery platforms, the same Django backend pattern, microfinance behind them all.
Last-mile delivery, microfinance
Pennco
Pan-India network of delivery agents serving disbursement and collection runs for major Indian MFIs. Django + DRF backend serving the agent app and the operations console.
Last-mile delivery, microfinance
Vishi
Same playbook, different operator. The Django API absorbs the same field-load shape: burst traffic during disbursement windows, sustained reporting load overnight.
Last-mile delivery, microfinance
Salesco
Third delivery partner on the same architecture. Three operators on one tested backend pattern proves the shape. It isn't a one-off.
The microfinance partners these platforms serve
All five are large Indian microfinance institutions running cash-in and cash-out cycles across thousands of villages. The Django backend behind Pennco, Vishi and Salesco is what turns “thousands of field agents on 4G” into reconciled, auditable, on-time delivery.
Related work
- API and integrationfor partner-API plumbing
- Internal tools and admin dashboardsfor the operator console layered on top
- React Nativefor the agent app on the other end
- Laravel developmentthe alternative when domain rules are heavier than field load
Good fit if
When Django is the right backend
- Operations platforms with field agents: logistics, delivery, microfinance, surveys, last-mile collection
- Mobile apps with hundreds to thousands of concurrent users hitting the same endpoints
- Teams who picked Python for the data and scripting fluency and need the backend to match
- Legacy Django codebases on EOL versions needing modernisation without a rewrite
Probably not a fit
We'll be honest if Django is the wrong call
- Marketing or content sites: pick WordPress or Sanity
- Real-time websocket-heavy apps where Node has a cleaner runtime (we'd just say so)
- Single-tenant apps with no concurrency or data-volume problem: Django is fine but you're paying for capacity you don't need
Stack we ship on
Django LTS, Postgres, Redis, Celery. Boring on purpose.
If you need APIs that hold under field load
Bring the agent count and the peak hour. We'll size the backend.
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