Platform engineering, DevOps and cloud infrastructure as code.
Releases get slower for reasons nobody wrote down: manual steps, undocumented environments, a deploy only one person understands. We do platform engineering and DevOps work that puts the whole thing in code — infrastructure, pipelines, monitoring — so shipping stops depending on who is awake.
When teams call us
- Every release takes longer than the last one and nobody is sure why.
- Deploys happen at 11pm because that is when it is safe to break things.
- The cloud bill grew faster than traffic and nobody can point at the cause.
What the work covers
Cloud foundations on AWS, GCP or Azure
Networking, identity, environments and account structure laid out properly once, so the next ten services inherit it instead of improvising.
Kubernetes and container orchestration
Cluster setup, autoscaling, resource limits and health checks — configured for the load you actually have, not a reference architecture for a company ten times your size.
Infrastructure as Code
Terraform, OpenTofu or Pulumi with state managed properly and modules your team can read. Environments become reproducible instead of archaeological.
CI/CD pipelines and release hardening
Build, test, deploy and rollback as one automated path with staged environments and progressive delivery, so a bad release is reversible in minutes.
Observability and cost control
Metrics, logs, traces and alerts that page a human only when a human is needed — plus cost attribution per service, which is usually where the surprise lives.
What you get
- Infrastructure fully described in version-controlled code
- A CI/CD pipeline with automated rollback
- Monitoring, alerting and on-call runbooks
- A reproducible environment setup any engineer can stand up
- Cost attribution per service and a documented optimisation pass
Related work
Questions we hear
Releases getting slower every sprint?
Start the conversationNo. Kubernetes is a good answer for some workloads and expensive overhead for others. Plenty of teams are better served by managed containers or serverless, and we will say so rather than sell complexity.
Yes, and that is the usual case. We integrate with your repos, accounts and workflows rather than building a parallel stack you then have to migrate onto.
The audit and design phases run alongside normal work. Changes land incrementally behind the existing pipeline, so there is no freeze while the platform is rebuilt.