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Cloud Architecture & DevOps

Infrastructure as code, automated pipelines, and cost-optimised cloud architectures. Your systems always available, always deployable.

AWSAzureCI/CDDockerTerraform
Cloud Architecture & DevOps — how the pieces fit together

Always available, always deployable.

Cloud work is judged on two questions: can you deploy on a Friday, and do you know what your infrastructure costs and why. We build environments where the answer to both is yes — described in code, monitored properly, and cheap to run.

We work in Azure and AWS, with infrastructure as code, pipelines that anyone on the team can run, and observability wired in from the first deployment rather than after the first outage.

What we set up:

  • Infrastructure as code, so environments are reproducible instead of hand-built.
  • Build, test and deploy pipelines with gates, approvals and a fast way back.
  • Logs, metrics and traces in one place, with alerts that mean something.
  • Cost visibility per environment and per service, with the obvious waste removed.
  • Backup, restore and failover tested — not assumed.

Boring infrastructure is good infrastructure.

Nobody should feel anything when a deployment happens. Four principles that get you there.

Right-sized architecture

Managed services where they earn their keep, containers where you need control. Sized for your load, not for a conference talk.

Deployments that are boring

Every environment built from the same code, every release the same command. Rollback is a button, not an incident.

Observability first

Logs, metrics, traces and uptime checks configured with the first deployment, so problems are diagnosed rather than guessed at.

Least privilege by default

Scoped identities, secrets in a vault, and network rules that assume the worst. Security reviewed as part of the build, not after it.

Engineers reviewing an environment together

Infrastructure you can read

Every environment is defined in Terraform or Bicep and lives in your repository. Spinning up a new test environment is a pull request, not a two-day ticket — and when someone asks what changed, the answer is in the history.

  • Identical dev, test and production environments from one definition
  • Secrets and identities managed, never pasted into config
  • Cost and drift visible before they turn into invoices or incidents

Technologies

The technology stack we use on this work includes, but is not limited to:

Azure
AWS
Terraform
Docker
Kubernetes
GitHub Actions
Azure DevOps
Redis
Monitoring
Infrastructure as code

Completed projects

The same work, delivered. Every number came out of production.

Ready to start?

Got a problem to solve?

Whether you're starting from scratch, scaling up, or dealing with a system under stress — let's talk about what we can build together. We can start by ensuring your systems continue to operate while a strategy is developed to make the most of your investment.