Cloud/DevOps
Automated CI/CD pipelines that validate every change before production, deploy on merge, and give your team the confidence to ship multiple times per day.
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Projects delivered
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What it is
CI/CD (Continuous Integration/Continuous Delivery) pipelines automate the testing, building, and deployment of software changes — catching regressions before production, reducing manual deployment work, and enabling teams to release frequently with confidence.
What you get
The goal of a CI/CD pipeline is to make deploying software so reliable and automated that it stops being a special event. When deployment is risky and manual, teams batch changes into large releases that are harder to debug and higher-risk. When deployment is automated and validated, teams deploy small changes frequently and problems are caught and fixed in minutes.
We build pipelines on GitHub Actions, GitLab CI, and Buildkite, with stages appropriate to your stack: linting and formatting, unit and integration tests, security scanning (SAST with CodeQL or Semgrep, dependency audit with Trivy), build and image publishing, and staged deployment with automated smoke tests at each environment.
Deployment strategies are selected based on risk tolerance and availability requirements: blue/green for zero-downtime with instant rollback, canary releases for gradual traffic shifting with metric-gated progression, and feature flags for changes that need to be deployed before they are activated. We configure automated rollback when deployment health checks fail.
Key capabilities
Each engagement is scoped to your requirements — these are the core capabilities we bring to the table.
Container image building and registry publishing
Blue/green, canary, and feature flag deployment strategies
Automated smoke tests and deployment health checks
Automated rollback on failed deployment checks
Deployment frequency and DORA metrics dashboards
Our process
A structured, engineering-led approach that moves from understanding your goals to a production system — with no handoff surprises.
Typical engagement
8–16 WEEKS
We map your goals, constraints, and existing infrastructure. Scope is defined and success criteria agreed before any development begins.
We design the technical approach, select the right tools, and produce a milestone-driven delivery plan with no ambiguity.
Iterative development with regular demos. Code reviews, test coverage, and documentation happen in parallel — not at the end.
Production release with monitoring setup and handover documentation. We stay close during the first weeks post-launch.
Built with
Schema migrations run as a step in the deployment pipeline before the new application version is deployed. We implement backwards-compatible migration strategies — expand, migrate, contract — so migrations can be applied without downtime. Migration failures block deployment automatically and alert the team before any application change reaches production.
A well-optimised pipeline for a medium-complexity application runs in 4–8 minutes: lint + unit tests in 2 minutes, integration tests in parallel 3–4 minutes, build and push 1–2 minutes. We optimise for pipeline speed by parallelising jobs, caching dependencies, and running slow tests only on main branch merges rather than on every PR.
As a baseline: dependency vulnerability scanning (npm audit, Trivy), SAST for common vulnerability patterns (CodeQL or Semgrep), secret scanning to catch API keys committed accidentally, and container image scanning. For regulated environments, we add compliance checks and software bill of materials (SBOM) generation.
Work with us
Share what you're building — we'll respond within one business day with questions or a proposal outline.
