Platform review
A focused review of architecture, Terraform, IAM, networking, GKE and the operational path into production.
You leave with
Evidence-led findings, prioritised risks and a practical sequence of next steps.
Cloud, DevOps and platform engineering
Cloud platforms, made easier to change.
I work directly with engineering teams on GCP, GKE, Kubernetes, Terraform, CI/CD and observability. The aim is to understand the real constraint, make the smallest safe change and leave the platform easier to operate.
Try the autoscaler
See capacity respond to changing demand.
Move the load control to see how a simple autoscaling policy changes desired replicas and available headroom. It is a compact illustration, not a claim about a live system.
Drag the load control.
autoscaler / simulationstable
58%simulated load
7desired replicas
42%headroom
When it is useful
Bring me in when the work needs a clear way forward.
- 01
The platform works, but routine changes feel risky or require too much specialist knowledge.
- 02
Delivery is slow, manual or difficult to reason about from commit to production.
- 03
Terraform, IAM or networking has grown beyond the assumptions it started with.
- 04
Teams collect plenty of telemetry but still struggle to explain incidents or decide what should page.
Practical starting points
Start with the problem, then define the smallest useful scope.
Delivery or production diagnosis
A bounded investigation into slow or risky delivery, recurring failures, unclear ownership or a production issue that keeps returning.
You leave with
A clear diagnosis, the contained fix where appropriate, and a reviewed action plan.
Reliability and observability
Targeted work on telemetry, dashboards, SLOs and alerts so teams can see what matters and act without unnecessary noise.
You leave with
Useful signals, actionable alerting and documentation that explains the operating model.
What you receive
Work your team can understand and own.
- Findings tied to evidence rather than a generic maturity model.
- Priorities that account for production risk, running cost and team capacity.
- Small, reviewable implementation steps with rollback considered.
- Code, configuration and documentation that remain with your team.
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