03 · Platform Engineering & DevOps
The platform layer your product team keeps rebuilding badly.
Infrastructure as code, pipelines that deploy safely, Kubernetes that upgrades itself on schedule, observability that answers questions instead of drawing charts, and a cost practice that runs continuously rather than in a panic each quarter. Cloud-agnostic by design — the same discipline whether you are on AWS, Azure or both.
Who this is for
If two or more of these describe you, we should talk.
- Product teams where every squad has invented its own deployment pipeline, and none of them are quite right.
- Organisations whose Kubernetes clusters are two versions behind because nobody owns the upgrade.
- Teams with dashboards everywhere and no answer to "is the site actually working for users right now".
- Anyone about to hire a platform team and wondering whether they can borrow one first.
What's included
What Platform Engineering & DevOps covers — 7 capabilities, all of them visible.
Nothing hidden behind a click. If we can’t describe it plainly here, we shouldn’t be charging you for it.
Infrastructure as code
Terraform module libraries built for your estate, remote state handled properly, drift detection running continuously, and reusable patterns your own engineers can extend without asking us.
- Terraform
- Module libraries
- Remote state
- Drift detection
CI/CD & progressive delivery
Pipeline design that makes the safe path the fast path: canary and blue/green releases, automated rollback on regression, and deployment metrics you can actually manage against.
- GitHub Actions
- Azure DevOps
- Canary
- Blue/green
- Automated rollback
Kubernetes platform
Cluster design, a real upgrade cadence, ingress and certificate management, service mesh only where it is genuinely warranted, and autoscaling tuned for cost as well as capacity.
- EKS
- AKS
- Karpenter
- Ingress
- Cert-manager
- Helm
Site reliability engineering
Service level objectives and error budgets that make reliability a shared decision rather than an argument, an incident process people can follow at 3am, blameless postmortems, and an on-call rota that is sustainable.
- SLOs
- Error budgets
- Incident process
- Postmortems
- On-call design
Observability
Open instrumentation standards so you are never locked to one vendor, structured logging, distributed tracing, and dashboards built around user-facing symptoms rather than machine metrics.
- OpenTelemetry
- Prometheus
- Grafana
- Distributed tracing
- Structured logging
FinOps practice
Tagging governance that survives contact with reality, showback and chargeback, unit economics per customer or per feature, and a monthly cost review that ends in a decision with an owner rather than a chart.
- Tagging governance
- Showback
- Unit economics
- Commitment planning
Backup & disaster recovery
Policy designed against a recovery objective you have actually agreed, recovery tested rather than assumed, and the runbook written by the people who will have to run it.
- Policy design
- Tested recovery
- Documented RTO/RPO
A two-week health check.
Seen enough? This is the smallest way to start.
Often bought alongside
Managed Cloud Services
Landing zone to steady state on AWS, Azure and Microsoft 365. We design the account structure, move the workloads, run the platform round the clock, and take the cost curve down while we are in there.
Explore05Application Modernisation
Lifting a monolith onto cloud infrastructure gets you the same application with a worse bill. We modernise the thing itself.
ExploreNext step
A two-week health check.
We look at how you build, deploy, observe and pay for your infrastructure, and hand back a prioritised backlog with effort and impact against every item. No obligation to have us do the work.