// Scale
CI/CD pipelines that make deployments boring and fast
GitHub Actions pipelines, Kubernetes containerisation, IaC with Terraform, preview environments, and GitOps-based production deployment. We build the engineering infrastructure that lets your team ship confidently at high frequency.
// Services
DevOps & CI/CD services
- Sub-10 minute CI pipelines with parallelisation
- Container scanning and SAST in every PR
- Per-PR preview environments
- GitOps production deployment
- DORA metrics tracking
CI/CD Pipeline Setup
GitHub Actions, GitLab CI, and CircleCI pipelines.
Infrastructure as Code
Terraform and Pulumi IaC for reproducible environments.
Containerisation (Docker + Kubernetes)
Container strategy and Kubernetes orchestration.
Automated Testing & Deployment
Test automation integrated into every PR and deployment.
Release & Environment Management
Preview environments, feature flags, and release strategies.
// Standards
DevOps engineering standards
Deploy frequently and safely
The goal is to make deployments boring — small, frequent, automated, and reversible. We target same-day deployment of merged PRs for most teams we work with.
Security scanning in pipeline
Container image scanning (Trivy), dependency vulnerability scanning (Snyk), SAST for secrets in code (detect-secrets/truffleHog) — security checks before every merge.
Fast feedback loops
CI pipelines that complete in under 10 minutes for most codebases through parallel test execution, dependency caching, and test suite optimisation.
GitOps-first deployment
Deployment state defined in Git with ArgoCD or Flux for Kubernetes deployments. No manual kubectl applies in production — every change is reviewed, versioned, and auditable.
DORA metrics tracking
Deployment frequency, lead time, change failure rate, and MTTR measured and tracked. Research shows these four metrics predict both delivery performance and organisational outcomes.
Environment parity
Production, staging, and preview environments provisioned from the same IaC templates. No environment-specific code paths that cause staging to pass but production to fail.
// Technology
DevOps technology stack
CI/CD Platforms
Containers
Orchestration
IaC
Testing in CI
GitOps / Release
// Process
From pipeline audit to DORA-measured delivery performance
Pipeline Audit
1–2 daysAssess current deployment process — manual steps, deployment frequency, lead time, change failure rate, and mean time to restore. Identify the highest-leverage improvements.
// FAQ
Common questions about DevOps and CI/CD
How long does it take to set up a good CI/CD pipeline?+
A basic GitHub Actions pipeline with test, build, and deploy stages takes 2–3 days. Adding preview environments, container scanning, and GitOps-based production deployment typically takes 2 weeks. Most teams see deployment frequency increase 3–5x within the first month.
Should we use Kubernetes or a simpler platform?+
Kubernetes is the right choice when you have multiple services, need horizontal scaling, or have complex networking requirements. For simpler applications, managed platforms (Vercel, Render, Railway) or AWS ECS provide most of the benefits without the operational overhead.
What are DORA metrics and why do they matter?+
DORA (DevOps Research and Assessment) metrics are four measures shown by research to predict both software delivery performance and organisational performance: deployment frequency, lead time for changes, change failure rate, and mean time to restore. Elite teams deploy multiple times per day with < 1-hour lead times.
How do you handle database migrations in CI/CD?+
Database migrations run as a separate pipeline step before application deployment, with backward-compatible changes verified. We use expand-contract patterns for zero-downtime schema changes on production databases.
What is a preview environment and do we need one?+
Preview environments are temporary deployments created per pull request — a full running instance of your application with the PR changes. They dramatically speed up code review because reviewers can test changes without checking out code. Most teams find they are worth the cost for frontend and API changes.