Node.js Development

Node.js Backend Development

Scalable, Fast, Reliable backend systems for modern applications.

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WH Studio

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Server infrastructure and backend development

Expert Node.js developer building high-performance backend systems. RESTful APIs, GraphQL, microservices, and real-time applications.

Node.js Development Services

RESTful API Development

Well-architected REST APIs with proper authentication, validation, and documentation.

  • • Express.js & Fastify
  • • JWT & OAuth authentication
  • • OpenAPI/Swagger docs
  • • Rate limiting & caching

Database Integration

Expert database design and optimization with SQL and NoSQL databases.

  • • PostgreSQL & MySQL
  • • MongoDB & Redis
  • • Prisma ORM
  • • Query optimization

Microservices Architecture

Scalable microservices with message queues and service discovery.

  • • Service-oriented architecture
  • • RabbitMQ & Kafka integration
  • • Docker containerization
  • • API Gateway patterns

Real-time Applications

WebSocket and real-time communication for chat, notifications, and live updates.

  • • Socket.io integration
  • • WebSocket servers
  • • Server-Sent Events (SSE)
  • • Real-time data sync

Node.js Technology Stack

Frameworks

  • • Express.js
  • • NestJS
  • • Fastify
  • • Koa

Databases

  • • PostgreSQL
  • • MongoDB
  • • Redis
  • • Supabase

Tools & Testing

  • • Jest & Vitest
  • • Docker
  • • PM2
  • • New Relic

Build Your Backend with Node.js

Let's architect a scalable, performant backend for your application.

Node.js services we'd actually want to inherit

Node has matured into a serious backend platform — native ESM, native fetch, native test runner, native watch mode. The patterns that age well in 2026 look very different from the Express + callbacks era most legacy Node codebases still carry.

Fastify or Hono over Express

Express is in maintenance mode and ships without typing, validation, or schema. Fastify (Node) and Hono (edge or Node) give you typed routes, schema validation, and 2–3x throughput. We default to one of these for every new Node service.

Async patterns that don't hide bugs

Top-level await, AbortController for cancellable work, async iterators for streams. The callback and "promise then-chain" patterns that were standard in 2019 hide entire classes of error in 2026 — we refactor them out on every legacy engagement.

Where Node is the right choice (and where it isn't)

Node wins for IO-heavy services, real-time, edge runtimes, and full-stack TypeScript teams. It loses to Go or Rust for CPU-bound work, long-running heavy concurrency, or anything where a single binary deploy beats a runtime install. We'll tell you when to use something else.

Stack deep dive

Node.js at production scale in 2026

Node.js is no longer the experimental backend choice it was a decade ago. It is the default runtime for the majority of greenfield API work, the lingua franca of the JavaScript ecosystem, and — when run with discipline — comfortably scales to handle tens of thousands of requests per second on modest infrastructure. The teams that struggle with Node in production are almost always struggling with operational practice, not with the runtime itself.

Below is the operational and architectural pattern we apply to Node.js APIs and services in 2026. It assumes a TypeScript codebase, a managed Postgres database, and a serverless or container-based deployment target.

Node 22 LTS
Default runtime we ship
<100ms
p95 API latency target
Fastify
Default HTTP framework
100%
TypeScript strict mode

Fastify, not Express

Express is in maintenance mode and has been since 2023. New Node.js APIs should default to Fastify, Hono, or — if you are deploying to the edge — the framework's native HTTP layer. Fastify is consistently 2–3× faster than Express at the same workload, ships with first-class schema validation, and has a meaningfully better TypeScript story.

The migration from Express to Fastify is well-trodden territory. Most route handlers translate one-to-one, middleware maps cleanly to plugins, and the performance lift typically pays for the migration within a single quarter on a moderately-sized API.

Async observability or you are flying blind

Node's single-threaded event loop hides a lot of pathology until it doesn't. Install OpenTelemetry with auto-instrumentation from the first deploy. Track event loop lag, garbage collection pauses, and async resource creation rates as first-class metrics alongside HTTP latency.

The most common production incident pattern we debug in Node services is event loop saturation caused by synchronous JSON parsing of large payloads or by unbounded promise concurrency. Both are invisible without instrumentation and obvious with it.

Database access patterns determine everything

The single biggest performance lever in any Node.js API is the database access layer. Use a thin query builder (Kysely, Drizzle) rather than an ORM unless your team is unusually disciplined about ORM N+1 patterns. Connection pooling sized to the actual concurrency of your runtime — not the default of 10 — is the second biggest lever.

Read replicas, read-after-write consistency strategies, and CQRS-style read models become relevant above ~1k QPS. Below that, a properly indexed single Postgres with PgBouncer in front comfortably handles the load.

Node.js Development FAQs