Cloud infrastructure defined in code, and then actually operated.
We design and run the infrastructure your software sits on. Environments are described in code, deployments are automated, and someone is accountable for the thing once it is live.
What this practice covers.
- Infrastructure as code
- Environments described in version-controlled code. Standing up a new region, cloning staging or rebuilding after an incident becomes a pipeline run instead of a week of clicking through a console.
- Containers and orchestration
- Workloads packaged as containers and run on Kubernetes, including the parts that usually get skipped: resource limits, health checks, rolling deploys and a rollback that has been tested.
- Delivery pipelines
- Build, test and deploy on every merge. Changes reach production in minutes rather than on a release night, and there is a proven way back when one of them is wrong.
- Cloud migration
- Moving systems you already run onto cloud infrastructure in stages. Each stage ships and holds on its own, so the business never depends on one cutover weekend going perfectly.
- Cost control
- Establishing what you are actually paying for, switching off what nothing uses, and sizing the rest against real demand instead of the estimate someone made at launch.
- Observability
- Metrics, logs and traces wired into one place, with alerts tied to what customers experience rather than to graphs nobody wants to interpret at three in the morning.
- Security and recovery
- Least-privilege access, secrets kept out of repositories, base images patched on a schedule, and backups proven by actually restoring them.
- Managed operations
- Ongoing ownership after launch: upgrades, capacity, incident response, and an engineer who already knows your stack when something goes wrong.
Where most of this work begins.
Nobody calls asking for infrastructure or automation in the abstract. These are the situations people are usually in.
- An application with nowhere solid to run
- The software exists and the hosting was a decision nobody meant to make permanently. We build the environments, the pipeline and the monitoring around it, so deploying stops being an event.
- A migration you keep postponing
- Something already runs, on a server in an office or in an account nobody fully understands. We map it, move it in stages, and switch the old thing off only once the new one has held under real traffic.
- An estate you inherited
- It mostly works, but the person who built it has left and nothing is written down. We document what exists, remove the parts that are quietly dangerous, and take over running it.
- A bill that stopped making sense
- Spend has drifted and nobody can account for it line by line. We find what is idle, oversized or duplicated, and size the rest against the traffic you actually get.
What exists when we are finished.
Everything below is part of the work rather than an extra line on the quote.
- Infrastructure defined in code, in your repositories and your accounts
- Development, staging and production environments that genuinely match
- A deployment pipeline with a rollback somebody has actually tested
- Dashboards and alerts tied to what your customers experience
- Runbooks for the failures we can reasonably predict
- Backups with a restore procedure that has been exercised, not just written
What we hold ourselves to.
- Scope before code
- You see what we intend to build, what it will cost and when it lands, before we write any of it. Changes to that scope are a conversation, not an invoice you find later.
- Everything in version control
- Infrastructure and application code both live in your repositories, under your account. Nothing important exists only in a console someone configured by hand.
- Documented as we go
- Architecture decisions, runbooks and deployment steps are written down while they are fresh, so another engineer can pick the system up without us.
- You own it
- Accounts, code, credentials and documentation are yours from day one. If you want to take the work in-house, there is nothing to unpick.
How the engagement runs.
The same four stages regardless of practice, so a project that spans both does not run on two different clocks.
- 01
Understand
We spend the first stretch on how the work happens today: what runs where, what people do by hand, what breaks, and what it costs to keep running. You do not need to arrive with a technical brief.
- 02
Scope
You get a written scope covering what we will build, how it fits what you already run, the sequence, the timeline and the price. If the job turns out smaller than you assumed, this is where we say so.
- 03
Build
Short cycles with something you can look at each time. Code and infrastructure definitions land in your repositories from the first commit, reviewed and documented while the reasoning is still fresh.
- 04
Run
We put it live, watch it under real load, and fix the things that only appear in production. From there it is either handed over with runbooks or kept under a managed retainer.
02AI & Automation
We build software that removes manual work rather than rearranging it. Each system is scoped to a specific job inside your operation, grounded in your own data, and held to the same engineering standard as the infrastructure under it.
Tell us what you are running today.
Describe the situation in whatever detail you have. We will come back with questions, a view on whether the work is worth doing, and a range for what it would take.