Build

Backend and API development

APIs, data models, and integrations built to be operated — with the observability to prove they are healthy.

The problem

The backend is where the surprises live

Frontends fail visibly. Backends fail at 2am, under load, in a queue nobody is watching. We build them with that night in mind: clear boundaries, sensible retries, and logs that answer questions instead of raising them.

What we do

What's included

REST and GraphQL APIs
Database design, migrations, and query tuning
Authentication, authorisation, and role models
Third-party and legacy system integration, including SAP-style enterprise systems
Background jobs, queues, and scheduled work
Structured logging, metrics, and alerting

Stack we use here

Node.js
TypeScript
PHP
PostgreSQL
MySQL
Redis
Docker

How it runs

Process

01
Model the data first
Most backend pain is a data model decision made too fast. We slow down here on purpose.
02
Contract before implementation
The API shape is agreed and documented so frontend and backend can move in parallel.
03
Build with tests at the boundaries
Integration tests where the risk actually is, not coverage theatre.
04
Instrument before shipping
If we cannot see it, we do not consider it deployed.

Deliverables

What you end up with

Deployed API with documented endpoints
Database schema and migration history
Monitoring dashboards and alert rules
Runbook for the failures we expect

FAQ

Usually yes. We start by reading whatever documentation exists and testing against a sandbox, and we are upfront when a system's limits will shape what the product can do.

You do. It runs in your cloud account, and you keep the credentials.

Where this sits

This is one stage of four. We do all of them.

01DesignDiscovery, UX flows, and a UI system.
02BuildWeb, mobile, and backend.
03DeployCloud infrastructure and CI/CD.
04RunMonitoring, scaling, and support.

Let's talk

What's included

REST and GraphQL APIs
Database design, migrations, and query tuning
Authentication, authorisation, and role models
Third-party and legacy system integration, including SAP-style enterprise systems
Background jobs, queues, and scheduled work
Structured logging, metrics, and alerting

Stack we use here

Node.js
TypeScript
PHP
PostgreSQL
MySQL
Redis
Docker

Process

Model the data first

Most backend pain is a data model decision made too fast. We slow down here on purpose.

Contract before implementation

The API shape is agreed and documented so frontend and backend can move in parallel.

Build with tests at the boundaries

Integration tests where the risk actually is, not coverage theatre.

Instrument before shipping

If we cannot see it, we do not consider it deployed.