Infrastructure as a craft
We bring the same engineering discipline to infrastructure that great teams bring to application code. Every resource is version-controlled, every change is reviewed, every deployment is reproducible. We use AI tooling to accelerate configuration reviews and spot issues — but every decision gets a human engineer's judgment before it goes to production.
Our philosophy: automate everything boring so your team has time for the interesting problems. Security is not an afterthought — it's designed in from day one.
Core Capabilities
CI/CD Pipelines
Automated build, test, and deployment pipelines that let engineers ship with confidence — multiple times a day if needed.
Cloud Infrastructure
Right-sized, infrastructure-as-code deployments on AWS, GCP, or Azure. No over-provisioning, no manual drift.
Container Orchestration
Kubernetes clusters and Docker Compose environments that are reproducible, scalable, and easy to operate.
DevSecOps
Security scanning in the pipeline, secrets management with Vault or AWS SSM, and least-privilege IAM policies by default.
Observability
Metrics, logs, and distributed tracing with Datadog, Grafana, or OpenTelemetry so you always know what your system is doing.
Infrastructure Audits
We audit existing infrastructure for security gaps, cost inefficiencies, and reliability risks — then fix what matters most.
Our Process
Audit
Map your current setup — pipelines, infrastructure, security posture, and cost. No assumptions.
Architecture
Design the target state: what to keep, what to migrate, what to replace. We write it down before touching anything.
Automate
Build pipelines, IaC modules, and deployment workflows. Everything reviewed, everything tested.
Secure
Harden the environment: secrets management, network policies, vulnerability scanning baked into CI.
Improve
Continuous optimisation — cost reviews, capacity planning, on-call runbooks. We don't vanish after go-live.
Tech Stack
Battle-tested tools we run in production ourselves.
Docker
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GitHub Actions
AWS
Terraform
