Node.js Development Services
Scalable APIs and real-time services on a single JavaScript stack
We design and build Node.js backends that handle real production load — REST and GraphQL APIs, real-time services and event-driven workers. Sharing one language across front end and back end shortens delivery time and keeps your codebase accessible to the whole team.
- REST and GraphQL API design and implementation
- Real-time features over WebSockets and server-sent events
- Microservices and event-driven architecture
- Authentication, authorisation and rate limiting
- Background jobs, queues and scheduled workers
- One language across the stack, reducing context switching and cost
- Excellent throughput for I/O-heavy and real-time workloads
- A vast package ecosystem that avoids rebuilding solved problems
- Straightforward horizontal scaling as traffic grows
- Product APIs
- Real-time chat and notifications
- Integration middleware
- Streaming data services
Common questions
Is Node.js fast enough for our workload?
For I/O-heavy work - APIs, real-time features, gluing services together - yes, and that is most web backends. Where it struggles is sustained CPU-bound computation, because that blocks the event loop. If your workload is heavy numerical processing, that part belongs in Python or Go, and a mixed stack is a perfectly reasonable answer.
TypeScript or plain JavaScript?
TypeScript, on anything that will outlive the initial build. The types pay for themselves the first time someone refactors a shared interface, and they document intent in a way comments do not. On a genuinely small script the overhead is not worth it, but that is rarer than people assume.
Express, NestJS or something else?
NestJS when a team needs structure imposed - clear module boundaries, dependency injection, conventions that survive people joining and leaving. Express or Fastify when the service is small and the structure would be ceremony. We pick based on the team who will maintain it rather than on what is fashionable.
How do you handle background jobs and queues?
With a real queue - typically Redis-backed - rather than fire-and-forget promises, which lose work silently whenever a process restarts. Jobs need retries with backoff, idempotency so a retry does not duplicate the effect, a dead-letter queue, and visibility into what is stuck. Most production incidents we see in Node systems trace back to background work nobody was monitoring.