Python
FastAPI, Django, high-speed data parsers and backend for AI modules with high prototyping speed and reliability.
- < 40ms
- Average response time of asynchronous endpoints
- 10 000+
- RPS when scaling services horizontally
- 99.9%
- Uptime of backend infrastructure
Are you facing these issues?
Performance Limitations with Increasing Concurrent Connections
Synchronous code blocks new requests from being processed, causing users to wait longer.
We develop on the asynchronous FastAPI stack (ASGI/uvloop), moving background calculations to Celery/Redis queues.
Runtime errors and loss of type control in large projects
Dynamic typing without strict controls leads to hidden bugs in production.
We use Pydantic v2 strict validation, mypy static analysis and service layer architecture.