Node.js development in Kolkata

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Node.js development

Backend services that handle many simultaneous connections efficiently, sharing a language with the front end.

JavaScript runtime

Chosen per project

Maintainable handover

Node.js suits work that is dominated by waiting — for a database, an external API, another service. Its event-driven model handles thousands of concurrent connections on modest hardware, which is exactly the shape of most web APIs and real-time features.

It is a poor fit for sustained heavy computation, where a single busy request can block everything else unless the work is deliberately moved off the main thread.

What we build with Node.js

REST and GraphQL APIs serving web and mobile clients

Real-time features — chat, live tracking, notifications

Integration services that orchestrate several third-party APIs

Server-rendered JavaScript applications

Where it fits — and where it does not

Good fit when

Many concurrent connections doing little work each

Real-time communication over WebSockets

One language shared between front end and back end

Rapid iteration on API surfaces

Consider something else when

Sustained CPU-heavy processing such as large report generation

Workloads better served by a strongly typed compiled runtime

Teams with deep existing expertise in another backend language

Request path

How a request travels through a Node service

The layers a request passes through. Validation sits early so bad input never reaches the database, and the service layer stays free of HTTP concerns.

Client

Browser, mobile app or partner system.

HTTP layer

Routing, parsing and schema validation.

Node service

Business logic, free of HTTP details.

External services

Payments, messaging, storage, queues.

Database

Pooled connections and transactions.

How we work with Node.js

Project structure

Routes, services and data access kept separate so business logic is testable without HTTP.

Validation

Every inbound payload validated against a schema at the boundary, never trusted downstream.

Async discipline

Consistent promise handling with proper error propagation, and heavy work moved to queues.

Observability

Structured logging with request correlation, so a single call can be traced end to end.

Our typical Node.js setup

Typical Node.js stack choices and what we use for each
ConcernWhat we use
FrameworkExpress or Fastify, chosen for throughput and middleware needs
ValidationSchema validation at every external boundary
Database accessPrisma, Knex or the native driver depending on the data model
Background workQueue-based workers for jobs that must not block a request
TestingUnit tests on services, integration tests against a real database
RuntimeActive LTS releases only, containerised for deployment

Frequently asked questions

For I/O-bound work — which is most web APIs — yes, and it handles concurrency very efficiently. For sustained computation it is the wrong tool, and we would recommend something else for that part of the system.

Node.js if the team already writes JavaScript and the workload is I/O-bound. Python if the work involves data processing, machine learning or scientific libraries. Both are excellent; the deciding factor is usually the surrounding work.

With a queue and separate worker processes, so report generation or bulk imports never block the API handling live traffic.

Topics people search for

Services built with Node.js

Tell us what you are trying to build

Describe the problem in plain language and we will tell you what it would take to solve it — the approach, the moving parts and the sensible order to build them in. No obligation either way.

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