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
How we deliver
Our Node.js delivery process
- 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.
- 02
Strict TS + validation
NestJS or Fastify with strict TypeScript, Zod validation at every external boundary, and OpenAPI generated from types or schemas.
- 03
Observability first
OpenTelemetry traces with context propagation, structured pino logs, RED metrics, and health checks — before code goes to staging.
- 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.
- 05
Deploy & operate
Zero-downtime deploys, graceful shutdown, dependency hygiene, and LTS upgrades on schedule.
- 06
Hand off or stay on
Runbooks, on-call playbooks, and either ongoing platform engineering or a clean hand-off to your team.
Related technologies
TypeScript
End-to-end typed engineering — React, Next.js, NestJS, Node, and shared schemas — with the discipline TypeScript was built for.
Learn moreJavaScript
Production JavaScript engineering across modern web frameworks, Node services, and edge runtimes — fluent in the ecosystem and disciplined about its sharp edges.
Learn moreNext.js
Production Next.js engineering — App Router, RSC, edge runtime, ISR, SEO-first metadata, and the deployment topology that fits your workload (Vercel or self-hosted).
Learn moreKubernetes
Production Kubernetes engineering — cluster design, GitOps, observability, CIS hardening, multi-tenancy, internal developer platforms, and the day-2 operations the demos skip.
Learn moreNode.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.

