Kubernetes
Design Kubernetes workload boundaries, resource policies, networking and upgrade procedures. Start with the simplest cluster model the team can safely operate.
Give product teams a paved road from commit to production with safer defaults and less operational friction.
Engineering teams replacing manual deployments or creating a consistent path to production.
Reusable pipelines, environment templates and release controls that reduce one-off deployment work.
Practical Kubernetes or container architecture with scaling, secrets, networking and recovery designed in.
Integrate code, dependency and infrastructure checks into delivery without turning security into a final gate.
Choose the area you need. We can deliver a focused engagement or connect several capabilities.
Design Kubernetes workload boundaries, resource policies, networking and upgrade procedures. Start with the simplest cluster model the team can safely operate.
Create reproducible container builds with appropriate base images, dependency handling and runtime settings. Keep development and deployment workflows consistent without putting secrets in images.
Organise Terraform modules, state and environments around clear ownership. Use reviewed plans, controlled applies and drift investigation for understandable infrastructure changes.
Build pipelines that test, package and release applications through explicit environments. Include deployment verification and rollback paths rather than treating a successful upload as a successful release.
Create reusable GitHub Actions workflows with scoped permissions, dependency checks and protected deployment environments. Keep credentials separate from source code and untrusted pull-request execution.
Design self-service templates and documented golden paths with product teams. Prioritise common developer tasks and support an exception process instead of forcing every workload into one template.
Integrate dependency, code, container and infrastructure checks into delivery. Route findings to an owner and define risk-based release decisions rather than producing unattended reports.
Connect application telemetry to delivery events and service objectives. Use OpenTelemetry-compatible instrumentation and actionable dashboards to support incident investigation.
We select the stack around your systems, delivery goals and the team that will maintain it.
Release engineering, container operations, platform product design, infrastructure testing, incident readiness and software-supply-chain controls. Adoption and maintainability matter alongside deployment speed.
Kubernetes, Docker, Terraform, GitHub Actions, GitOps workflows and OpenTelemetry. The platform includes documentation, service ownership and operational runbooks, not only configuration files.
HCL for infrastructure, YAML for workflow and platform configuration, Python and shell for automation, and TypeScript where internal developer tools need application code. YAML and HCL are configuration languages, not substitutes for software testing.