Node.js development company
Node.js Development Services. APIs That Scale Without Slowing Down.
We build TypeScript-first Node.js backends using NestJS, Fastify, and clean architecture. Real-time systems, REST and GraphQL APIs, microservices, and full-stack platforms. All on modern infrastructure with 85 percent test coverage.
TypeScript firstNestJS + FastifyAWS + GCP + Azurev22 LTS
Event
Loop
Loop
I/O Queue
Timers
Microtask
0
req/s
1
thread
0
concurrent
The server model decision
Your traffic spike should not become your outage. The old server model cannot handle what Node.js handles by design.
Scroll down to see the concurrent connection gap. Click the counter to watch what happens under load.
Thread-per-request (PHP, Apache)
Concurrent connections handled
0
0Thread pool limit: 256
Model1 thread per request
Memory per connection~2MB
I/O behaviorBlocking, thread waits
Above 256 connections503 error
Node.js Event Loop (Single Thread)
Concurrent connections handled
0
0No hard limit (memory permitting)
Model1 thread, N callbacks
Memory per connection~10KB
I/O behaviorNon-blocking callback
Above 10,000 connectionsStill serving
Node.js agency comparison
What most Node.js agencies hand you versus what you get from Redefine. Row by row.
These are not marketing claims. They are the technical decisions your next Node.js build depends on.
Technical dimension
Typical Node.js agency
Redefine
Language
Plain JavaScript
TypeScript always
Framework
Express with no structure
NestJS clean architecture
Test coverage on delivery
Under 20%
85%+ with integration tests
API documentation
After-the-fact or absent
OpenAPI-first, generated
Database access
Raw SQL mixed with ORM
Prisma or TypeORM, consistent
CI/CD pipeline
Manual deploy or basic script
GitHub Actions + Docker
Error handling
try/catch scattered everywhere
Global exception filter + typed errors
Architecture pattern
No defined pattern
CQRS / Repository / DI
Code ownership
Vendor dependency
Full ownership on day one
Node.js development capabilities
Four Node.js specialisations. Each one a distinct system type your team ends up owning.
Real-time
WebSocket APIs and real-time event systems with Socket.io
Chat platforms, live dashboards, collaborative tools, and financial tickers all require persistent connections and sub-100ms event propagation. We build WebSocket servers using Socket.io on NestJS Gateways, with room-based routing, authentication middleware, and horizontal scaling via Redis adapter for multi-node deployments.
Socket.ioNestJS GatewaysRedis adapterJWT auth
SaaS product development →// WebSocket event stream
► user:join {userId:"u_4821",room:"trading-001"}
► price:update {symbol:"AAPL",bid:193.24}
► order:placed {id:"ord_99821",qty:50}
► price:update {symbol:"TSLA",bid:247.18}
► user:join {userId:"u_1203",room:"trading-001"}
200 OK
3.2msGET /api/v1/orders/1004{"order": {
"id": "ord_1004",
"status": "shipped",
"items": 3, "total": 247.80,
"_links": { "self": "/orders/1004",
"tracking": "/shipments/S9821" }
}}
OpenAPI 3.1Rate limitedJWT auth
REST and GraphQL
Production-grade APIs with NestJS, Fastify, and OpenAPI-first design
Every API ships with a machine-readable OpenAPI 3.1 spec generated from code, not written manually. Rate limiting, request validation with Zod or class-validator, structured error responses, and distributed tracing with OpenTelemetry. Fastify for high-throughput services that cannot accept the NestJS overhead.
NestJSFastifyApollo GraphQLOpenAPI 3.1Zod
Custom software development →Microservices
Node.js microservices with message queues and containerized deployment
When a monolith needs to become a service mesh, we break domains into Node.js microservices communicating over message queues (RabbitMQ, Kafka, AWS SQS). Each service has its own database schema, its own deployment pipeline, and its own test suite. We use NestJS Microservices module with typed message patterns and protobuf schemas for contracts.
NestJS MicroservicesRabbitMQ / KafkaAWS SQSDocker + K8s
Cloud migration and architecture →order-service
12mshealthy
payment-service
8mshealthy
notification-service
4mshealthy
inventory-service
deployingrolling
// Nx monorepo structure
apps/
api/ <-- NestJS backend
web/ <-- Next.js frontend
libs/
shared-types/ <-- shared DTOs
ui-kit/ <-- design system
prisma/ <-- shared schema
Full-stack
Node.js backend with React or Next.js in a shared TypeScript monorepo
When the project is full-stack, we use Nx or Turborepo to manage the NestJS backend and Next.js frontend in a single repository. Shared TypeScript types mean your API and frontend never drift out of sync. One pipeline validates both. One PR deploys both.
Nx MonorepoNext.jsShared typesPrisma
React development services →Client result.
Legacy monolith re-architected into Node.js microservices on Kubernetes. Zero user disruption.
0x
faster release cycles after microservices migration
0%
production uptime after deployment pipeline overhaul
0%
infrastructure cost reduction from container-based scaling
SaaS / B2B PlatformMicroservices MigrationAWS EKS
The problem
A SaaS and B2B platform's legacy monolithic application caused slow release cycles, frequent outages, and limited scalability. Deployment processes were tightly coupled and risky, making it difficult to introduce new features or scale reliably as usage increased.
What we delivered
- Microservices architecture using Node.js and Docker
- Kubernetes on AWS EKS for orchestration and auto-scaling
- CI/CD pipelines eliminating manual deployment risk
Node.js ecosystem
The Node.js stack we build on. Click any technology to see how we use it.
NestJS
Framework
TypeScript
Language
Fastify
HTTP server
Prisma
ORM
BullMQ
Job queues
Vitest / Jest
Testing
Redis
Cache / pub-sub
OpenTelemetry
Observability
NestJS
Our primary Node.js framework for all production applications. NestJS enforces a modular, testable architecture through decorators, dependency injection, and opinionated module system. Every feature is a module. Every service is injectable and testable in isolation. We do not build production Node.js apps with Express alone.
TypeScript (strict mode)
We run TypeScript in strict mode with noImplicitAny, strictNullChecks, and exactOptionalPropertyTypes enabled. This eliminates entire categories of runtime bugs at compile time. Type definitions for all external APIs and shared types across the monorepo.
Fastify
For API surfaces where raw throughput is the primary constraint, we use Fastify. It is 2x faster than Express on the same hardware, with built-in JSON schema validation and serialization. We use it as a Nest adapter or standalone for performance-critical microservices.
Prisma ORM
Our default ORM for relational databases. Schema-first with auto-generated TypeScript types. Prisma Migrate manages schema evolution. Query logging catches N+1 problems in development before they reach production. Prisma Client is type-safe down to the field level.
BullMQ (Redis-backed job queues)
Background jobs, scheduled tasks, and event-driven workflows using BullMQ on Redis. Rate limiting, priority queues, retries with exponential backoff, and job progress tracking. Dashboard for monitoring queue health in production.
Vitest and Jest testing
Unit tests with Jest or Vitest (faster, ESM-native). Integration tests using Testcontainers for real database containers. End-to-end API tests using Supertest or Bruno. 85 percent coverage target across unit and integration layers on every delivery.
Redis (cache, pub/sub, session)
Response caching, distributed session storage, real-time pub/sub for WebSocket broadcast across multiple nodes, and rate limiting. Redis Cluster for production resilience. ioredis client with connection pooling.
OpenTelemetry observability
Distributed tracing across microservices using OpenTelemetry SDK. Spans automatically created for HTTP requests, database queries, and outbound HTTP calls. Trace context propagated through message queues. Exporters to Datadog, Grafana Tempo, or AWS X-Ray depending on your cloud.
Why Redefine for Node.js
Three things we do that most Node.js teams do not.
01
We write TypeScript in strict mode. Always. No exceptions for speed.
Skipping strict TypeScript to "ship faster" creates a maintenance debt that compounds. Every handler, every service, and every repository in a Redefine codebase has type safety at compile time. Your next engineer inherits a codebase they can refactor safely, not one they have to decode.
02
We architect for the CPU-bound edge case before you hit it in production.
Node.js is single-threaded. One CPU-heavy operation blocks every concurrent request. We identify these before they are ever deployed by profiling workloads in the discovery phase. CPU-bound work goes to a worker thread, a separate process, or a different service. You do not discover this problem at 3am.
03
Every API ships with an OpenAPI spec that was generated from code, not written by hand.
Manual API documentation drifts. It is always one refactor behind. We use NestJS + Swagger decorators to generate the OpenAPI 3.1 spec directly from route handlers and DTOs. The documentation is always accurate because it is compiled, not maintained. Your frontend team always has the spec they need.
Common questions
What engineering leads ask before a Node.js engagement.
We use NestJS as our primary framework for production Node.js applications because it enforces a modular, testable architecture out of the box. We use Fastify for high-throughput APIs where raw performance is the primary constraint. For projects requiring GraphQL, we use Apollo Server on top of NestJS. We do not build new projects with Express alone.
Yes, always. We have not written plain JavaScript for production Node.js projects since 2021. TypeScript in strict mode catches entire categories of bugs at compile time, makes refactoring safe at scale, and produces self-documenting code that new engineers can read without tribal knowledge.
Node.js uses a single-threaded, non-blocking event loop. While traditional thread-per-request servers create one OS thread per active connection and stall on I/O, Node.js registers callbacks for I/O operations and continues processing the event queue. A single Node.js process can manage tens of thousands of concurrent connections using only a few megabytes of memory per process. See the comparison above for the full breakdown.
Node.js is the wrong choice for CPU-intensive workloads like video encoding, image processing at scale, machine learning inference, or heavy numerical computation. Because Node.js is single-threaded, a CPU-bound task blocks the event loop and degrades all concurrent requests. For these workloads, Python, Go, or Rust are better fits. We tell you this in the discovery phase if your use case warrants it.
Node.js development engagements typically run between $50,000 and $300,000 depending on API complexity, real-time requirements, integrations, and whether the project includes a frontend. We scope before we quote. See our Node.js pricing guide for a phase-by-phase breakdown.
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