APIs, services and automation

Node.js Development — APIs, Services & Automation.

Node.js APIs, background workers, webhook processors and integration services — built to be observable, idempotent and safe to retry.

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Start a project What you get

Where Node fits

Node is a good fit for API layers, real-time features, webhook processing and anything IO-heavy — services that spend most of their time waiting on other systems rather than computing.

It is also easy to build something that works in development and falls over in production, because the failure modes are all about concurrency, unhandled rejections and the assumption that external services always respond.

I build Node services with the boring things in place first: structured logging, health checks, graceful shutdown, retries with backoff, and idempotency wherever a message could arrive twice.

What I build

Node.js work.

REST & GraphQL APIs

Versioned, documented APIs with validation, auth, scoped tokens and rate limiting.

Background workers

Queue consumers with retries, dead-letter handling and visibility into what failed and why.

Webhook processing

Signature verification, idempotent handling and ordered processing for payment and platform events.

Real-time features

WebSocket services for live updates, notifications and collaborative interfaces.

Automation & scripts

Scheduled jobs, data pipelines, scrapers and internal CLI tooling.

Observability

Structured logs, metrics, health endpoints and alerting so problems surface before customers notice.

The detail that matters

How I approach it.

Assume every message arrives twice

Queues retry, webhooks resend, networks duplicate. A handler that is not idempotent will eventually double-charge someone or send the same email three times. Keying on a stable event identifier and recording what has been processed is a small amount of work that prevents an entire class of production incident.

Verify webhook signatures, always

An unverified webhook endpoint is an open API that anyone can call with fabricated payloads. Every provider offers signature verification and it takes minutes to implement. Skipping it is one of the more common serious security gaps in integration code.

Backpressure over crashing

Node will happily accept more work than it can process until memory runs out. Bounded queues, concurrency limits and graceful degradation under load mean a traffic spike slows the service rather than killing it.

Logs you can search, not logs you can read

Structured JSON logging with a correlation identifier per request is the difference between diagnosing a production issue in ten minutes and never diagnosing it. Free-text console output is comfortable in development and useless at scale.

How we work together

The process.

Listen

A 30-minute call to understand the problem behind the brief. The fix is often not what you first ask for.

Quote

A real number tied to a real scope — never a copy-paste price list. Sent within 24 hours.

Build

I work in staging, in your repo, with commits you can audit. I send a daily update so you are never wondering.

Deliver

Smoke test together, document, deploy. Then I stick around to catch the edge cases.

What you get with me.

Idempotent handlers keyed on stable identifiers
Webhook signature verification
Retries with exponential backoff and dead-letter queues
Structured logging with request correlation
Health checks and graceful shutdown
Load testing before go-live where it matters

Questions, answered.

Node or Laravel for a backend?

Laravel for a conventional business application with lots of CRUD, admin and reporting. Node for IO-heavy services, real-time features and high-volume webhook processing. Plenty of systems sensibly use both.

Which framework do you use?

Express or Fastify for straightforward services, NestJS when a larger application benefits from more structure. I will use whatever your team already runs rather than introducing another framework.

Can you fix a Node service that keeps crashing?

Yes. Recurring crashes are usually unhandled promise rejections, memory growth from retained references, or unbounded concurrency. All are diagnosable with the right instrumentation in place.

Do you handle deployment and infrastructure?

I set up containerisation, process management, health checks and CI/CD so the service deploys reliably. Ongoing infrastructure operations is not something I take on.

Need this built?.

Tell me what you need. I send a real quote based on your specific project — never a fixed price for a problem I have not heard.

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