Backend & Cloud

Infrastructurebuiltto take the load.

APIs, schema, cloud and the pipeline that ships them — defined in code, so any environment can be rebuilt from the repository.

6-10 weeks6 capabilities6 core technologies

Start a project Price it in Blueprint

Live demo — nothing here is a screenshotit's interactive →

03Under the hood

The system you will operate

Event-driven microservices architecture on serverless infrastructure.

Scroll to pull the layers apart

Compute Layer
01
Function-as-a-Service (FaaS) for ephemeral, auto-scaling compute capacity.
AWS LambdaGoogle Cloud Functions
Event Bus
02
Asynchronous messaging for decoupling services and ensuring reliability.
KafkaRabbitMQSQS
Infrastructure as Code
03
Reproducible environments managed via code templates.
Terraformpulumi

One request, end to end

Every hop spends part of the budget. The engineering is in the failures.

now break the database

—

Edge

TLS, WAF, routing

+12ms

API

Auth, validation

+18ms

Cache

Redis, read-through

+6ms

Queue

Work that can wait

+4ms

Database

Indexed read

+34ms

Press send. The request walks the stack a hop at a time, and the budget is spent in front of you.

02Capabilities

What runs underneath

APIs, schema, infrastructure and the pipeline that ships it — defined in code so any environment can be rebuilt from the repository.

6included

01 / 06

RESTful APIs

Consistent resource naming, predictable status codes and error bodies your frontend can actually branch on, documented from the schema so the docs cannot go stale. Versioned from the first release, because the second consumer always arrives sooner than expected.

What lands in your repo

OpenAPI specification with generated, always-current docs
Versioning strategy and a documented deprecation policy
Consistent error envelope and pagination across endpoints

Included as standard

01Use cases

Three situations this is built for.

If one of these sounds like your week, this is the practice to start with.

Sound like something else?
Describe it to an engineer

An app that slowed down as it grew

1The situationPages that were quick at launch now time out at peak, and nobody is sure which query is to blame.
2What we buildProfiling first, then layered caching, query and index tuning, and a load test at your expected peak.
What you walk away with
- The real bottleneck identified, not guessed
- Caching with documented invalidation
- Load-test results with headroom

04Engagement

From schema to production traffic

Every environment is reproducible, and deployment stops being an event you schedule around.

Step 1 of 5

Design

scroll through the stages

01
Design
System diagramming and capacity planning.
02
Develop
API implementation with Swagger/OpenAPI spec.
03
Infrastructure
Provisioning cloud resources via IaC.
04
Security
Penetration testing and IAM policy audits.
05
Monitor
Setting up logging, tracing, and alerts.

05Related work

Built in the same neighbourhood.

All 24 projects

Proof

You don’t have to take our word for it.

Two of the things we ship are our own products, not client work. Same stack, same team, same standards — except we carry the cost of every decision ourselves.