Build high-performance APIs with Python async experts. We ship production-ready FastAPI backends in 8-12 weeks.
IRPR builds production FastAPI applications for startups and enterprises. We use Python 3.12, async/await patterns, Pydantic v2 for validation, and SQLAlchemy 2.0 for database access. Every API follows OpenAPI 3.1 specs automatically.
We ship a working FastAPI MVP in 8-12 weeks with fixed pricing from $80K to $250K. Our team handles everything from async task queues with Celery to real-time WebSocket endpoints. All projects include CI/CD pipelines and Sentry error monitoring.
Founders hire us to build their product backend in weeks not months. CTOs hire us to replace slow Django monoliths with async FastAPI microservices. Engineering managers hire us to add high-throughput API layers to existing systems.
Build CRUD APIs with async endpoints, Pydantic schemas, and automatic OpenAPI docs. Integrates with Redis caching.
Decompose monoliths into async microservices with RabbitMQ or Kafka message brokers. Docker Compose for local dev.
Build live dashboards, chat systems, and streaming data feeds using FastAPI WebSocket support with Redis Pub/Sub.
Combine FastAPI with Strawberry GraphQL for flexible data queries. Supports subscriptions and batch loading.
Offload heavy processing to Celery workers with Redis broker. Handles email sending, PDF generation, data exports.
Connect FastAPI to Stripe, Twilio, SendGrid, and 50+ other APIs. Uses httpx async client for high throughput.
Build admin panels with SQLAdmin or custom React frontends. Includes role-based access control and audit logs.
Create ETL pipelines with FastAPI endpoints, Pandas for transformation, and async database bulk inserts. Handles 1M+ rows per minute.
FastAPI is not just another Python framework. It requires deep async knowledge to get the performance gains.
FastAPI uses Python async/await to handle thousands of concurrent connections with a single process. A poorly written endpoint can block the event loop and bring your API to a crawl. Our consultants have built 40+ FastAPI systems since version 0.1.
We use Starlette middleware correctly, configure database connection pools with asyncpg, and set up background task queues with Celery. Every endpoint gets proper exception handling and request validation. Our APIs handle 10,000 requests per second on a single instance.
Not all FastAPI developers understand async concurrency, database connection pooling, and production deployment.
Generic shops treat FastAPI like Flask with decorators. They write blocking code inside async endpoints, use sync database drivers, and skip proper error handling. Their APIs crash under load.
IRPR writes pure async endpoints, uses asyncpg for database access, sets up connection pooling with 50-200 connections, and configures Redis for caching. We test load with Locust and deploy with Docker on AWS ECS.
We follow a 4-phase process that delivers a production-ready FastAPI backend in 8-12 weeks.
Phase 1 (Week 1): We map your API endpoints, data models, and business logic. You get a detailed specification with OpenAPI schemas.
Phase 2 (Weeks 2-6): We build the core API with all endpoints, database models, authentication, and background tasks. You see working endpoints every 2 weeks.
Every FastAPI project includes these deliverables by default.
You get full ownership of the source code, infrastructure as code, and monitoring setup. No black boxes, no ongoing license fees.
Built a multi-tenant FastAPI backend for a B2B SaaS platform. Handles 5,000 API requests per minute with 50ms median latency. Tech stack: FastAPI, PostgreSQL, Redis, Stripe, Celery.
Developed a PCI-DSS compliant payment API using FastAPI async endpoints. Processes 1,000 transactions per second with idempotency keys. Tech stack: FastAPI, PostgreSQL, Stripe Connect, Redis.
Created a HIPAA-compliant FastAPI service for patient records. Reduced data retrieval time from 3 seconds to 200ms using asyncpg connection pooling. Tech stack: FastAPI, PostgreSQL, Redis, FHIR.
Built a FastAPI product catalog serving 50,000 products with full-text search. Achieves 20ms response time with Redis caching. Tech stack: FastAPI, PostgreSQL, Elasticsearch, Redis.
Developed a WebSocket-based FastAPI service for live analytics. Streams 10,000 events per second to React frontends. Tech stack: FastAPI, Redis Pub/Sub, PostgreSQL, WebSocket.
Built a FastAPI ingestion pipeline for 1 million log entries per minute. Uses async bulk inserts and Elasticsearch for sub-second search. Tech stack: FastAPI, PostgreSQL, Elasticsearch, Kafka.
Every FastAPI project gets a fixed quote in the Roadmap phase (week 2). No hourly billing, no surprise invoices. You know the cost before we write code.
Our team averages 10+ years of Python experience. Every engineer has shipped at least 5 production FastAPI systems. No junior developers.
We ship a working FastAPI backend in 8-12 weeks. You get a production-ready API with CI/CD, monitoring, and documentation.
We have built and deployed 200+ products across 50 countries. Our FastAPI experience spans fintech, healthcare, ecommerce, and SaaS.
You own every line of code. No proprietary frameworks, no hidden licenses. We hand over the GitHub repository with full commit history.
Every project includes 30 days of post-launch support. We fix bugs, optimize queries, and help your team take over operations.
Every engagement runs through the same four-stage pipeline. Predictable by design.
30-minute discovery call. No deck. We'll tell you honestly what it takes, how long, and how much.
─── share this page ───
