Node.js development services
APIs, real-time services and ingestion workers built for throughput and observability.
Node earns its place on I/O-bound work: APIs, real-time connections, streaming ingestion, orchestration between services. It handles concurrency well and blocks badly, so the discipline is knowing which is which.
We build typed end to end, validate at every boundary, and put queues in front of anything that could be slow. CPU-heavy work goes to a worker or a different runtime entirely rather than starving the event loop.
Node.js, specifically.
Node or Python for our backend?
Node when the workload is I/O-bound and a shared TypeScript language across front and back end has real team value. Python when the work is data or ML-adjacent. Many of our systems run both, split along that line.
How do you handle long-running work?
Out of the request path entirely. A durable queue with retries, idempotency and dead-letter handling, plus a way to inspect and replay failures rather than losing them.
Tell us what you are building.
A short conversation is usually enough to tell whether we are the right firm for the problem. If we are not, we will say so and point you somewhere better.