Cloud Development

Cloud that doesn't
surprise you.

Two surprises show up in almost every cloud estate we're called into: a bill nobody can explain, and a deploy nobody wants to run. Both come from the same place — infrastructure that grew instead of being designed.

Your Cloud / Stack ● healthy
01 Compute
02 Data & Storage
03 Networking
04 CI/CD
05 Observability
06 Cost & Guardrails
AWS Azure Google Cloud CI/CD Cost
What We Do

Boring
infrastructure.

Interesting infrastructure is what you get paged about. We aim for the kind nobody thinks about — predictable to run, cheap to change, obvious when something breaks.

Cloud-Native Builds

Applications designed for the platform rather than lifted onto it — managed services where they earn their keep, plain servers where they don't.

Serverless

Functions and queues for spiky, event-shaped work, with the cold-start and concurrency trade-offs understood before they become an incident.

Containers

Orchestrated workloads for anything long-running, sized to actual usage instead of the number someone guessed during setup.

CI/CD

Pipelines with staging, automated checks, and a rollback that's been tested — so shipping on a Friday isn't a cultural taboo.

Observability

Logs, metrics, and traces joined up, with alerts tied to what users experience rather than to CPU sitting at 80 percent.

Cost Control

Tagging, budgets, and right-sizing. Most cloud bills we review have a quarter of spend attached to something nobody has looked at in a year.

Getting A Grip

From guessing
to knowing.

None of this requires a migration. Most of it is visibility and guardrails applied to what you already have.

× The bill goes up every month and nobody can say why
Tagged spend, budgets, and alerts before the invoice
× Deploys happen at night because rollback is untested
A pipeline with staging and a rollback path that's proven
× Infrastructure that only one person can safely change
Defined in code, reviewed, and reproducible from scratch
× Alerts fire on CPU while customers see timeouts
Alerts tied to latency and error budgets users feel

The other half of a reliable platform is the data layer — replication, failover, and tested recovery live on database design.

Start With A Look

Predictable, and cheaper.

Give us read access for a week. We'll come back with what you're spending it on, what's fragile, and the three changes worth making first.