Cloud engineering and DevOps
Infrastructure as code, Kubernetes, pipelines and cost control — so deploys stop being an event.
Deployment should be the least interesting part of your week. When it is not, the cause is almost always the same: infrastructure defined by hand, environments that drift, and a pipeline nobody trusts enough to run on a Friday.
This page is about public cloud. If your software cannot live on someone else's hardware — because a regulator, a client contract or plain economics says otherwise — the same discipline applies to your own servers, and that is a separate practice: on-premise and bare-metal infrastructure. Plenty of clients end up running both.
We define everything in Terraform, put environments behind identical modules, and build pipelines that make rollback a one-click operation. Then we instrument the result so you find out about a problem from a dashboard rather than a customer.
Cost is treated as an engineering constraint, not a finance afterthought. Right-sizing, spot and savings-plan strategy, storage lifecycle rules, and per-service cost attribution routinely take 30–50% out of a cloud bill that grew without supervision.
The parts that matter.
- 01
Cloud architecture and migration
Greenfield landing zones or lift-shift-improve migrations on AWS, Azure and GCP. Network topology, identity boundaries, multi-account structure and disaster recovery designed before anything moves.
- 02
Kubernetes and containers
EKS, AKS and GKE clusters with GitOps delivery, autoscaling, ingress, secrets management, network policy, and a genuine answer to what happens when a node dies.
- 03
CI/CD and release automation
Pipelines in GitHub Actions, GitLab CI or Azure DevOps with ephemeral preview environments, automated tests, progressive delivery and instant rollback.
- 04
Observability and reliability
Metrics, logs and traces unified in one place. SLOs with error budgets, actionable alerting that does not page for noise, and incident runbooks written before the incident.
- 05
Cloud cost engineering
Tagging strategy, per-team showback, commitment planning, idle-resource reclamation and architectural changes that cut spend without cutting headroom.
- 06
Security and compliance posture
Least-privilege IAM, secret rotation, encryption at rest and in transit, vulnerability scanning in the pipeline, and audit-ready evidence for SOC 2 or ISO 27001 work.
What you
actually receive.
Named artefacts, not a status report. Every item here is something you can open, run or hand to another engineer.
- 01Terraform modules covering every environment, in your repository
- 02GitOps deployment pipeline with automated rollback
- 03Observability stack with dashboards, SLOs and alert routing
- 04Disaster recovery plan with a tested, timed restore
- 05Cost baseline, savings plan and monthly attribution reporting
- 06Runbooks and an internal handover so your team is not dependent on us
Before you ask.
Can you reduce our cloud bill without a re-architecture?
Often, yes. The first pass — right-sizing, storage lifecycle, orphaned resources, commitment coverage — typically finds meaningful savings in days and requires no code change. Structural savings come later, and we will show the trade-offs.
Do we need Kubernetes?
Frequently not. Managed container services or serverless carry far less operational tax for most teams. We recommend Kubernetes when the workload genuinely justifies it, and we are happy to talk you out of it.
Will our team be able to maintain this?
That is the point. Every engagement includes documentation, architecture decision records and working sessions with your engineers. If we disappeared tomorrow, nothing should break.
Tell us what you are building.
A short conversation is usually enough to tell whether we are the right firm for the problem. If we are not, we will say so and point you somewhere better.