Every engagement starts with an assessment, because guessing is expensive. From there we take on as much or as little as you need: a two week review, a full platform build, or an ongoing hand on the tiller.
Cloud architecture and migration
We design the account structure, networking, identity model and guardrails that everything else sits on, then move workloads over in stages with a rollback path at every step.
Landing zones on AWS and Oracle Cloud Infrastructure
Network segmentation, private connectivity and DNS
Lift and reshape migrations from on premise estates
Cost visibility, budgets and right sizing
Platform engineering
A paved road for your developers: one way to create a service, one way to ship it, one way to see what it is doing. Less waiting on the infrastructure team, fewer snowflakes.
Kubernetes platform design, multi cluster and multi tenant
GitOps delivery with Argo CD or Flux
Service templates and self service environments
Developer portal and internal documentation
AI infrastructure and adoption
Useful AI in an enterprise is mostly an infrastructure problem: where the model runs, what it is allowed to read, who pays for the tokens. We build that layer properly.
Self hosted LLM serving on your own hardware or cloud GPUs
Retrieval pipelines over internal documents with access control
Agent workflows wired into existing systems
Gateways with logging, quotas and per team cost attribution
Automation and DevOps
The unglamorous work that pays for itself fastest. We replace manual steps and half remembered procedures with code that anybody on the team can read and run.
Reusable Terraform modules with state and drift handling
Ansible roles for Linux fleet configuration and patching
Build, test and release pipelines in GitHub Actions or GitLab
Container image supply chain and registry hygiene
Site reliability engineering
We make failure visible before your customers find it, and make recovery a practised routine rather than an improvisation.
Service level objectives and error budgets
Metrics, logs and traces with Prometheus, Grafana and OpenTelemetry
Backup and restore that is tested, not assumed
On call rotation design and incident review practice
Security and hardening
Sensible defaults, enforced by the platform. The goal is that doing the secure thing is also the easiest thing for your engineers.
CIS aligned Linux and container baselines
Secret management with Vault or cloud native equivalents
Least privilege identity and access reviews
Vulnerability scanning wired into the pipeline
Engagement models
Three ways to work with us.
Pick the one that matches where you are. Moving between them mid engagement is normal and costs nothing.
Start here
Infrastructure assessment
Two to three weeks. We review your architecture, cost, reliability and security posture, then deliver a written report with a prioritised roadmap you can act on with or without us.
Fixed scope2 to 3 weeks
Most common
Project delivery
A defined build with agreed milestones: a migration, a Kubernetes platform, a CI/CD rollout, an AI gateway. Delivered in increments, handed over with documentation and runbooks.
Milestone based4 to 16 weeks
Ongoing
Fractional platform team
A recurring block of hours each month for teams without a dedicated platform engineer. Architecture reviews, on call support for the platform layer and steady improvement work.
Monthly retainerRolling
Questions
Things people ask first.
How quickly can you start?
Usually within one to two weeks for an assessment, and we can often do the first discovery call the same week you get in touch. Larger builds are scheduled around your team's availability, not just ours.
We are a small team. Is this overkill for us?
No. Smaller teams get the most out of automation, because there is nobody spare to do things by hand. We scope to the size of the problem, and if the honest answer is that you do not need us yet, we will say so on the call.
Do you work with our existing engineers?
Always. Engagements are built around pairing and review, so your team ends up owning the result. We would rather leave behind capability than a dependency.
Can you run AI models without sending data to a third party?
Yes. That is a large part of what we do. Models run on infrastructure you control, prompts and documents never leave your network, and every request is logged for audit.
What do you need from us to give a quote?
A short call is enough to give a range. For a firm number we need read access to the environment or a walkthrough with someone who knows it, which is exactly what the assessment covers.
Not sure which one you need?
Describe the problem in a couple of sentences and we will point you at the right starting point, even if it is not one of ours.