Infrastructure your team can change without holding its breath
AWS and Kubernetes platforms defined as code, with pipelines that deploy predictably and permissions that are deliberate rather than inherited.
Talk to an engineerSigns the platform is the bottleneck
- Deploys happen on Tuesday afternoons because that is when the person who knows how is available.
- The infrastructure was clicked together in a console and nobody can recreate it.
- Staging and production differ in ways you only discover during an incident.
- The AWS bill grows every month and no one can attribute it to anything.
- Everything runs as admin because narrowing the permissions once broke something.
- Rolling back means redeploying the previous commit and hoping the migration was reversible.
What we build
Infrastructure as code
Terraform for the whole footprint, with remote state, modules that are reused rather than copied, and plans reviewed before they are applied.
Kubernetes that is boring
EKS or managed equivalents with sane resource requests, autoscaling that reflects real load, health checks that mean something and rollouts that can be reversed.
Pipelines that deploy themselves
GitHub Actions from commit to production: build, test, scan, deploy, with environment promotion and a rollback path that has been tested rather than assumed.
Permissions on purpose
Least-privilege IAM, scoped service accounts, secret management, and CI credentials that cannot do more than the job requires.
Cost you can attribute
Tagging, right-sizing, spot where it fits, and per-service cost visibility, so reducing spend is an engineering decision instead of a quarterly panic.
Typical projects
Bring clicked-together infrastructure under Terraform
Import what exists, describe it as code, and get to the point where the environment can be rebuilt from the repository.
Build a deployment pipeline from scratch
Commit to production without manual steps, with tests and scans as gates and a rollback that someone has actually rehearsed.
Migrate services onto Kubernetes
Containerise, define resources and probes, set up autoscaling, and move traffic gradually rather than at once.
Reduce cloud spend without breaking anything
Find what is over-provisioned, idle or duplicated, and change it in an order where each step is individually reversible.
Separate environments properly
Staging that resembles production closely enough to be worth having, with data handling that does not put customer records in a test database.
What you get
- A Terraform repository that describes your infrastructure, reviewed and applied through CI
- Working pipelines with documented promotion and rollback
- An IAM model written down, including what each role can and cannot do
- Runbooks for the operations your team performs regularly
- A cost baseline and the levers that move it
Questions we get asked
Do we need Kubernetes?
Often not. Kubernetes earns its complexity when you run many services, need fine-grained scaling or already have the operational maturity to support it. For a handful of services, managed container platforms are cheaper to run and far cheaper to understand. We would rather tell you that than sell you a cluster.
Can you work with our existing cloud setup?
Yes. Most of this work is improving something that already runs and cannot stop running. We start by describing what exists, then change it in reversible steps.
What if our infrastructure knowledge lives in one person's head?
That is one of the better reasons to call. Codifying it removes the single point of failure, and the process usually surfaces several assumptions that were never true.
Start a conversation
Tell us what you are building, or what is currently breaking. You will get a straight answer from an engineer, not a sales script.