Service 05
Cloud infrastructure and DevOps your team can actually run.
Deployments that are boring, reproducible, and owned by your team afterwards.
Platforms
Azure · AWS · Vercel
Monitoring
Wired to on-call alerts
Pipelines
Same commands, locally and in CI
Ownership
Your infrastructure, your repository
Overview
What is Cloud Infrastructure, DevOps & Security?
Cloud infrastructure and DevOps, done properly, means environments defined in code, pipelines that run the same commands locally and in CI, and observability that answers questions instead of producing dashboards nobody reads.
We're equally comfortable on Azure, AWS and Vercel, and we'll tell you when a managed service is cheaper than the thing you asked us to build.
Right fit if
- You're deploying by hand from someone's laptop
- Staging doesn't match production, so testing there proves little
- Your cloud bill has stopped making sense
Not the right fit if
- You already have a working, owned pipeline
- There's no team in place to operate what we'd hand over
What we build
What we actually build.
Concrete examples of what Cloud Infrastructure, DevOps & Security looks like in practice — the kind of thing a client asks for on a first call.
Infrastructure as code
Every environment defined in Terraform or Bicep, so staging and production differ only in variables.
E.G. a new environment stood up from the repository in minutes
CI/CD with preview environments
A preview environment per pull request, built and destroyed automatically.
E.G. a reviewer testing a feature branch before it merges
Observability that pages a human
Monitoring covering the handful of signals that actually indicate a problem, wired to an on-call alert.
E.G. an alert with a runbook, not a dashboard nobody checks
How we build it
Built to be trusted. Not just demoed.
A demo takes an afternoon. Something your team relies on takes engineering — this is what that looks like in practice.
Environments defined, not clicked together
Terraform or Bicep definitions mean staging and production are reproducible from the repository.
Same commands, locally and in CI
Pipelines run the same commands a developer runs locally, removing the class of 'works on my machine' failure.
Specific reductions, not a general audit
We identify idle and oversized resources with a named owner for each one.
Cloud
Azure · AWS
IaC
Terraform
Containers
Docker · Kubernetes
CI/CD & Monitoring
GitHub Actions · Grafana
Related work
Shipped, not slideware.
Real projects, described by the system we built and the result it delivered.
From manual deploys to reproducible infrastructure
Replacing hand-run deployments with infrastructure as code, preview environments, and alerts that reach a human.
Read the case studyProcess
How a project runs.
The same six steps as every project, with the deliverables above coming out of Build and Test.
01 / You bring
02 / We build
01
Discover
Scope + estimate02
Design
Prototype03
Build
Sprint demos04
Test
QA + security05
Launch
Live app06
Grow
Next release↺ Then the next release
03 / You get
FAQ
Straight answers.
Which cloud providers do you work with?
Azure, AWS and Vercel. We'll recommend whichever fits, and say so when a managed service is cheaper than a custom build.
Will our team be able to operate this without you?
Yes. Every environment is defined in code with a runbook your on-call engineer can follow, and handover means your team runs the pipeline independently.
Can you review our existing cloud costs?
Yes. We start with an audit of what exists and what it costs, and come back with specific, named reductions rather than a general recommendation.
Talk to us
Have a problem worth building?
Send us the rough version. We reply within one business day.
Start a project →