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2-wk sprints
Node.js Development Services

High-Performance Node.js APIs and Backends Built to Scale

We build Node.js APIs, real-time backends, and microservices — fast, scalable, and production-hardened. Express, NestJS, WebSockets, full DevOps.

Express & NestJS
REST & GraphQL
WebSockets
100% IP Yours
Free first consultationNo commitment needed

Node.js development

APIs, microservices, real-time

100%

code & IP yours from day one

typical MVP timeline
est.

6–10 wks

48h

Avg. Response Time

no surprises, ever

What are Node JS development services?

Node JS development services cover the design, build, and operation of backend systems using Node.js and its ecosystem. This includes REST and GraphQL API development, real-time systems with WebSockets, microservices architectures with message queues, and enterprise backends built with NestJS. A Node.js development partner handles system architecture, API design, database integration, performance optimisation, and deployment so your product team can focus on user-facing features rather than infrastructure complexity.

Our Services

Node.js Development Services We Deliver

From single APIs to distributed microservices handling millions of requests.

01

REST API Development with Node.js

Scalable Express, Fastify, or NestJS REST APIs with authentication, rate limiting, and OpenAPI docs.

02

GraphQL API Development

Type-safe GraphQL APIs with Apollo Server or Mercurius, resolvers, subscriptions, and federation.

03

Real-Time Systems with WebSockets

Live dashboards, collaborative tools, chat, and notification systems using Socket.io and native WebSockets.

04

Node.js Microservices Architecture

Event-driven microservices with RabbitMQ, Kafka, and gRPC for distributed systems.

05

NestJS Enterprise Backend

Structured, testable NestJS applications with dependency injection, modules, and TypeScript throughout.

06

Node.js Performance Optimisation

Profiling, async patterns, clustering, caching strategy, and query optimisation for existing Node.js systems.

Tech Stack

From Single API to Distributed Microservices

Frameworks
Express
NestJS
Fastify
Koa
Real-Time
Socket.io
WebSockets
SSE
Long Polling
Message Queues
RabbitMQ
Apache Kafka
Bull
Redis Streams
Databases
PostgreSQL
MongoDB
Redis
Prisma ORM
API Layer
REST
GraphQL
gRPC
OpenAPI/Swagger
DevOps
Docker
Kubernetes
PM2
GitHub Actions
Performance First

Event-Driven Architecture That Handles Real Load

Non-blocking I/O handles thousands of concurrent connections
Cluster mode uses all CPU cores on a single server
Redis caching cuts database load by up to 90% on read-heavy APIs
Worker threads for CPU-intensive tasks without blocking the event loop
Horizontal scaling with stateless services and shared Redis session store
Kafka or RabbitMQ decouples services for independent scaling
NestJS dependency injection makes testing and refactoring predictable
OpenAPI documentation generated from code - always accurate
Our Process

How We Build Node.js Systems

A structured process from API design to production deployment.

01

API and System Architecture Design

We define service boundaries, data flows, and API contracts before writing code.

02

Data Model and Schema Design

Database schemas, Prisma models, and migration strategy are established with scalability in mind.

03

Core API or Service Build

Endpoints, resolvers, or service handlers are built with TypeScript, validation, and automated tests.

04

Real-Time or Queue Layer

WebSocket servers, message consumers, or event emitters are added and integration-tested under load.

05

Load Testing and Performance Tuning

k6 or Artillery load tests reveal bottlenecks before launch. We fix them - we do not ship and optimise later.

06

Deployment, Monitoring, and Documentation

Docker containers, CI/CD pipelines, health checks, structured logging, and full OpenAPI docs delivered at launch.

Indicative Pricing

Node.js Project Investment Ranges

Fixed-price scopes for common Node.js engagement types.

EngagementScopeInvestment (USD)
REST or GraphQL APIUp to 15 endpoints, auth, basic integrations$12,000 - $35,000
Full Node.js backendMicroservices, queues, real-time, dashboards$40,000 - $100,000
Distributed systemMulti-service, Kafka, high availability$80,000 - $180,000+

Ranges are indicative. Final pricing depends on service count, integrations, and performance requirements. Get a fixed-price quote after a scoping call.

Why CodeShiper

Why Teams Choose Us for Node.js Development

Six reasons Node.js backends succeed with our team.

01

Node.js-First Backend Team

Backend specialists who work in Node.js daily - not full-stack generalists who also do backend when needed.

02

Real-Time Architecture Expertise

Socket.io, WebSockets, and Redis pub/sub for live features done right the first time, not retrofitted.

03

NestJS Enterprise Patterns

Dependency injection, module boundaries, and testable architecture that scales with your engineering team.

04

Performance Profiling Included

Every engagement includes load testing and profiling before launch. No API leaves our hands without a performance baseline.

05

OpenAPI Docs With Every API

Machine-readable OpenAPI documentation delivered alongside code. Your frontend and mobile teams can integrate immediately.

06

Production-Tested Microservices Patterns

Kafka, RabbitMQ, and gRPC setups we have already run in production - not architectural experiments on your budget.

100%
IP ownership from day one
2 wks
First working build
48 h
Average response time
98%
Client satisfaction rate
FAQ

Common Questions About Node JS Development

Should I use Node.js, Python, or Go for my backend?
Node.js is the best fit when your team already works in JavaScript or TypeScript, when you need real-time features like WebSockets, or when you want to share code between frontend and backend. Python is stronger for data science and ML workloads. Go excels at high-throughput services where raw CPU performance matters. For most SaaS products and APIs, Node.js with TypeScript is the fastest path to production with the largest available talent pool.
What is the difference between Express, NestJS, and Fastify?
Express is minimal and flexible but gives you no opinions on structure, which creates inconsistency at scale. Fastify is Express-compatible but significantly faster and has better TypeScript support out of the box. NestJS adds a full framework layer with dependency injection, modules, decorators, and opinionated structure that makes large teams productive and codebases testable. For enterprise applications or teams over three engineers, we default to NestJS.
Can Node.js handle real-time features like chat or live dashboards?
Yes. Node.js was designed for event-driven, non-blocking I/O, which makes it well-suited for WebSocket connections and real-time features. Socket.io handles room management, reconnection, and broadcasting. For very high concurrency, we combine Node.js with Redis pub/sub to scale WebSocket connections across multiple server instances.
Is Node.js a good fit for microservices?
Yes. Lightweight Node.js services start fast, consume little memory, and communicate efficiently over HTTP or message queues. NestJS in particular has first-class support for microservices patterns including gRPC, RabbitMQ, and Kafka transports. The main consideration is that a microservices architecture adds operational complexity - it is the right choice when your team and deployment infrastructure are ready for it.
How does Node.js handle high traffic and performance at scale?
Node.js handles I/O-bound concurrency extremely well through its non-blocking event loop. For CPU-intensive work, we use Worker Threads. For horizontal scaling, we deploy stateless services behind a load balancer with Redis for session and cache. Cluster mode lets a single server use all available CPU cores. We profile every production API under load before launch to identify bottlenecks.
Should I use TypeScript with Node.js?
Yes. TypeScript prevents a significant class of runtime errors that plain JavaScript allows, improves IDE support, and makes refactoring large codebases safe. All our Node.js projects use TypeScript with strict mode enabled. The build overhead is minimal and the long-term maintenance benefit is substantial.
How do you test Node.js APIs?
We use Vitest or Jest for unit tests, Supertest for HTTP integration tests against the API layer, and dedicated test databases for data-layer tests. NestJS projects get full module-level testing with mocked dependencies. End-to-end API contract tests are added for any API consumed by external clients or mobile apps.
What databases work best with Node.js?
PostgreSQL with Prisma ORM is our default for relational data: type-safe queries, migrations, and excellent TypeScript support. MongoDB works well for document-centric data with flexible schemas. Redis is used alongside relational databases for caching, sessions, and queues. The right choice depends on your data model, not the framework.
How do you deploy and scale a Node.js application?
We containerise with Docker and deploy to Kubernetes, AWS ECS, or Railway depending on team operational maturity. PM2 is used for simpler single-server deployments. CI/CD pipelines via GitHub Actions run tests and build images on every push. We set up health checks, structured logging, and alerting as part of every production deployment.
When is Node.js the wrong choice?
Node.js is less suited for CPU-heavy computation like video transcoding, complex numerical analysis, or heavy machine learning inference - Go or Python are better fits there. It is also not ideal when the existing team has no JavaScript experience and switching languages is feasible. For simple CRUD applications with no real-time requirements and a Python or PHP team already in place, adding Node.js rarely adds value.

Let's Talk

Ready to Build Your Node.js Backend?

Tell us what you are building and we will scope the engagement and send a fixed-price estimate within 48 hours.

Get a Free Node.js Project EstimateSchedule a Call
NDA available before any technical discussionResponse within 48 hoursNo pressure. No hard sell.