Technologies / Node.js
TypeScript-first Node services for APIs, integrations, and workflow engines — with observability, testing, and operational discipline built in from the start.
Node is a superb backend for I/O-heavy work: APIs, integrations, portals, and workflow engines. It's also easy to end up with a Node service that logs to stdout, panics under load, and can only be operated by the person who wrote it. We build Node in TypeScript with structured logging, tracing, and a real operational story from day one.
We use Node.js where it earns its place. These are the situations we see most often.
No traces, no structured logs, no dashboards. When it misbehaves, everyone shrugs.
Blocking calls, unhandled promises, and memory leaks that only appear in production.
Years of skipped upgrades leave the codebase on abandoned packages with security advisories.
We start with your business problem — the process, the users, the constraints — before naming any technology, including this one.
A clear architecture decision record: where this technology fits, where it doesn't, and what it integrates with.
Small, demonstrable increments on real data. Real users, real feedback, real outcomes — not a proof of concept nobody uses.
Operational metrics, documentation, and a runbook your internal team can operate. We're not a lock-in vendor.
Node services with structured logging, distributed tracing, and metrics — operable by an on-call rota, not just the author.
Load-tested and stable under real workload before go-live.
Dependencies kept current, with automated upgrades and CVE monitoring in the pipeline.
TypeScript throughout, so the compiler catches a category of bugs that would otherwise ship.
Domain-driven APIs versioned, documented (OpenAPI/GraphQL SDL), and secured by default.
Long-running, event-driven, or scheduled Node workloads that move data reliably between systems.
Durable workflow (Temporal, BullMQ, custom) for multi-step processes that must survive restarts.
WebSocket, SSE, and push architectures for portals and collaborative tools.
NestJS for large teams, Fastify or plain Express for simpler services — chosen for the team, not the trend.
OpenTelemetry-based traces, structured JSON logs, and dashboards you can actually run an on-call from.
A UK operator needed a Node integration layer moving hundreds of thousands of records per day between an on-premise SQL database and Salesforce. Built on Fastify with BullMQ for retries, it processes the daily volume with full observability and self-healing on transient failures.
A B2B operator inherited a Node API with no tests, no traces, and monthly outages. We introduced OpenTelemetry, contract tests, and a proper release pipeline — moving the service from monthly incidents to routine, boring uptime.
Vignettes are anonymised composites drawn from engagements and product work. No client names, logos, or performance figures are implied.
Node for I/O-heavy web workloads and integrations; Python for data-heavy, ML, or scripting workloads. Both are excellent — we choose based on the workload.
NestJS for large teams with structure needs; Fastify for high-throughput services where performance matters; Express for small services where simplicity wins.
Renovate or Dependabot in the pipeline, plus a quarterly upgrade review for major-version changes. Security advisories are treated as incidents.
By default, yes. We only skip TypeScript on tiny services where the ceremony isn't worth the benefit.
AWS (Fargate, Lambda), Azure (App Service, Container Apps), and Supabase Edge Functions — chosen for the workload.
Show us the Node service you're worried about, or the one you haven't built yet. We'll give you a real view on stack, hosting, and effort.
Book Your Free Discovery Call