Technology

Node.js Development Services — High-Throughput APIs, NestJS Backends & Real-Time Systems

Production Node.js engineering — NestJS, Fastify, Hono, real-time systems, job queues, and the operational discipline that single-threaded runtimes demand.

What we build with Node.js

  • NestJS for modular, typed APIs with dependency injection and OpenAPI generation
  • Fastify for raw throughput with strict TypeScript and Zod validation
  • Hono for edge-runtime services (Cloudflare Workers, Vercel Edge, Lambda@Edge)
  • Real-time systems with WebSockets, Socket.IO, and Server-Sent Events with proper backpressure
  • Job queues with BullMQ, Bee-Queue, or Kafka / SQS consumers
  • Database integration with Prisma, Drizzle, Kysely, Mongoose, or raw drivers
  • Strict TypeScript across the codebase with Zod validation at every external boundary
  • OpenTelemetry tracing, structured logs (pino), and Prometheus metrics
  • Cluster mode, graceful shutdown, health checks, and zero-downtime deploys
  • Deployment to Kubernetes (EKS / GKE / AKS), ECS, Cloud Run, or AWS Lambda — workload-driven
  • Authentication with Auth0, Clerk, WorkOS, or rolled-your-own JWT / session strategies
  • Performance audits: heap profiles, event-loop traces, and a measured remediation plan
  • Migration paths from Express / Koa to NestJS or Fastify
  • Migration of CommonJS to ES Modules and Node version upgrades on LTS schedule

Why DiveScale

Built by engineers who ship Node.js in production

Node.js is the practical choice for high-throughput, I/O-bound services — and the wrong choice for CPU-bound number crunching. DiveScale ships Node services that handle tens of thousands of concurrent connections in production, with the operational discipline single-threaded runtimes demand.

Our default for serious backends is NestJS. The modular structure, dependency injection, OpenAPI generation, and clear conventions hold up as teams grow and codebases age. We have shipped NestJS in production across hospitality, veterinary, fintech, and SaaS — the convention overhead pays back inside the first 18 months.

When raw throughput dominates, we reach for Fastify. When edge-runtime compatibility matters (Cloudflare Workers, Vercel Edge), Hono. Whichever framework, TypeScript is strict and Zod validates every external boundary — request bodies, third-party responses, env vars, queue payloads.

Production matters most: structured logging with pino, OpenTelemetry traces with proper context propagation, graceful shutdown that does not drop in-flight requests, health checks wired into the orchestrator, and proper error boundaries. Node's sharp edges are well known — we engineer past them.

And we wire Node sensibly into the broader system: shared TypeScript contracts with Next.js front-ends; tRPC or OpenAPI for typed client SDKs; Terraform-managed deployment; BullMQ or Kafka for async work; and the observability that makes single-threaded behavior visible.

We take over Node memory leaks and event-loop stalls regularly. Heap snapshots, clinic.js or 0x profiling, and a measured remediation plan — most issues come from retained closures, unbounded caches, or synchronous I/O slipping into async paths. All fixable.

Node.js use cases we deliver

NestJS backend services

Modular, typed NestJS APIs with dependency injection, OpenAPI generation, and the conventions large teams benefit from. Our default for serious production backends.

High-throughput Fastify APIs

Fastify services handling tens of thousands of concurrent connections with sub-50ms p99 latency and proper Zod validation at every boundary.

Real-time systems

Chat, collaboration, live-data, and notification systems built on WebSockets or SSE with proper backpressure, reconnection logic, and horizontal scaling.

Background workers & queues

BullMQ, Kafka consumers, or SQS workers with retries, dead-letter queues, idempotency, and observability tied into the application.

BFF & API gateways

Backend-for-frontend layers that aggregate microservices, shape data for the UI, and add typed contracts at the seam between backend and frontend.

Serverless Node on Lambda

Node 22 functions on AWS Lambda with cold-start minimization, structured logs, OpenTelemetry, and proper IAM scoping.

Edge runtime services

Cloudflare Workers, Vercel Edge, and AWS Lambda@Edge with Hono for low-latency global compute on edge constraints.

Node performance audits

Heap profiles, event-loop traces, and a measured remediation plan for slow, memory-leaking, or unresponsive Node services.

Framework migrations

Express / Koa to NestJS or Fastify, CommonJS to ES Modules, callback-style to async / await — done incrementally without halting feature work.

Node LTS upgrades

Bring deployments forward to Node 20 / 22 / 24 LTS on a schedule that matches your release cadence.

How we deliver

Our Node.js delivery process

  1. 01

    Workload profile

    Profile expected concurrency, payload sizes, and CPU shape to pick the right framework and runtime topology. Node.js is the wrong choice for some workloads — we say so up front.

  2. 02

    Strict TS + validation

    NestJS or Fastify with strict TypeScript, Zod validation at every external boundary, and OpenAPI generated from types or schemas.

  3. 03

    Observability first

    OpenTelemetry traces with context propagation, structured pino logs, RED metrics, and health checks — before code goes to staging.

  4. 04

    Performance pass

    Event-loop profiling, GC analysis, and CPU offload to worker_threads, native modules, or a sidecar Rust / Go service for the hot paths that justify it.

  5. 05

    Deploy & operate

    Zero-downtime deploys, graceful shutdown, dependency hygiene, and LTS upgrades on schedule.

  6. 06

    Hand off or stay on

    Runbooks, on-call playbooks, and either ongoing platform engineering or a clean hand-off to your team.

Node.js — Frequently Asked Questions

NestJS for most production backends — modular, typed, conventions that scale teams. Fastify when raw throughput dominates and the team is comfortable being explicit. Hono for edge runtimes. Express only for legacy maintenance. We pick per project, not per preference.

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