Infrastructure Automation & DevOps

Automate everything — from infrastructure provisioning to deployment pipelines. Terraform, Ansible, Jenkins, Docker, and Kubernetes engineered for reliability.

What we deliver

• Infrastructure as Code with Terraform and Ansible
• Kubernetes and container platform engineering
• CI/CD pipelines with Jenkins, GitHub Actions, GitLab
• Observability: metrics, logs, and traces
• Release engineering and GitOps workflows
• Platform engineering and internal developer portals

Infrastructure as code, and the drift problem

Writing Terraform is the easy part. The hard part is keeping what is described in code identical to what is actually running. Drift starts the first time someone makes an urgent change in the console and does not push it back — and once the code no longer describes reality, nobody trusts it enough to run an apply, which guarantees more manual changes and more drift. That spiral is how organizations end up with infrastructure automation that exists on paper only.

We build codebases that hold up against that: state managed remotely with locking, modules that are versioned and reusable across environments, plans reviewed before they run, and drift detection scheduled so divergence is caught in days rather than discovered during an outage. Ansible handles configuration inside the machines with the same discipline — idempotent roles, no snowflake servers, and playbooks that are safe to re-run.

CI/CD pipelines built for confidence

A deployment pipeline exists to make releases boring. That means the pipeline tests what matters, fails fast when something is wrong, produces the same artefact for every environment, and can put the previous version back quickly when a release turns out badly. Pipelines that skip the last of those are not pipelines — they are one-way doors with a progress bar.

We design pipelines in Jenkins, GitHub Actions, or GitLab around your actual release process rather than a reference architecture. Build once and promote the same artefact, keep secrets out of the repository and out of the logs, gate production on approvals where the risk warrants it, and make the pipeline itself version-controlled and reviewable. Where GitOps fits, we use it: the repository is the source of truth and the cluster reconciles toward it, which makes both the current state and the change history obvious.

Kubernetes and container operations

Kubernetes solves real problems and creates new ones, most of them operational. Clusters need resource requests and limits set from measurement rather than guesswork, network policy that reflects an intended security posture, storage that survives a node loss, and upgrade paths planned before the version you are running goes out of support. We engineer clusters to be run, not just to pass a demo.

Observability is part of that work rather than a follow-on project. Metrics, logs, and traces are wired in from the start so that when a service degrades, the question of which component is responsible can be answered in minutes. Our approach here sits alongside our Linux & Windows server support and cloud migration & administration work, because in practice the same engineers own the platform end to end.

Common questions

We already have some Terraform. Can you work with it rather than start over?

Usually, yes. We review the existing code and state, identify where it has diverged from reality, and refactor incrementally — importing unmanaged resources, splitting oversized state files, and modularising repetition. A full rewrite is occasionally the right call, but it is a recommendation we justify rather than a default.

Do we need Kubernetes?

Often not. Kubernetes pays for itself when you are running many services with genuine scaling and deployment complexity. For a handful of stable applications, managed container services or well-automated virtual machines are cheaper to run and easier to staff. We will tell you when the simpler option is the better engineering decision.

How do you avoid automation becoming its own black box?

Everything is committed to your repositories, documented in plain language, and handed over. We prefer standard tooling over bespoke frameworks precisely so that your team, or any competent engineer you hire later, can maintain it without us. Nothing we build is designed to require our continued involvement.