Skip to main content
Codexway

Cloud and DevOps

DevOps and CI/CD delivery pipelines

I build delivery pipelines that genuinely test the code and allow rollback within minutes. Deployment stops being an event and becomes a routine operation.

Request a quoteGet in touch

What it covers

A useful pipeline is fast, reliable and understandable. It fails for good reasons, explains the failure to whoever must fix it, and produces the same artefact in every environment. I start by measuring the current setup: total duration, waiting time, failure rate and main causes.

We then build the pipeline in stages: compilation, unit tests, static analysis, integration tests, packaging, then progressive deployment. Each stage has an explicit purpose and a target duration. Long stages are parallelised or moved off the critical path.

Reversible, observed deployment

Deployment relies on immutable images and versioned manifests. New versions are progressively exposed to a share of traffic, with automatic indicator monitoring and rollback triggered without human intervention when things drift.

  • Pipeline versioned in the repository and reviewed like application code.
  • Unit, integration and end-to-end tests executed automatically.
  • Quality and vulnerability analysis blocking on agreed thresholds.
  • Versioned and signed container images.
  • Progressive deployment with automatic rollback.

Problems addressed

  • Releases happen in the evening, with apprehension.
  • The integration pipeline takes over an hour and fails for obscure reasons.
  • Automated tests do not cover the journeys people actually use.
  • Nobody can rebuild an artefact published six months ago.
  • Every rollback requires a risky manual operation.

Expected benefits

  • Frequent releases without a release meeting.
  • Defect detection time reduced to a few minutes.
  • A rollback procedure that is known and tested.
  • Identical artefacts across environments.
  • Quality controlled by thresholds rather than opinion.
  • A team that trusts deployment again.

Method and steps

  1. 1

    Pipeline diagnosis

    Measuring durations, failure rate and rerun causes, plus interviews with developers about daily friction points.

  2. 2

    Pipeline redesign

    Restructuring into parallel stages, caching dependencies and clearly separating quick validation from full verification.

  3. 3

    Automated quality and security

    Adding integration tests, static analysis, dependency checks and image publishing, with justified blocking thresholds.

  4. 4

    Progressive deployment

    Introducing staged deployment, automatic monitoring and rollback, then training the team on a real case.

Deliverables

  • Versioned integration and delivery pipelines.

  • Duration measurement report before and after the redesign.

  • Documented and enforced quality and security thresholds.

  • Tested deployment and rollback procedure.

  • Release register with artefact traceability.

  • Team training session on the pipeline.

Technologies used

  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions
  • GitLab CI
  • Argo CD
  • JUnit 5
  • Playwright
  • SonarQube

Frequently asked questions

How long does a complete pipeline take to set up?

A working pipeline with tests and image publishing takes two to four weeks. Progressive deployment with automatic rollback often needs another month if the infrastructure has to change.

Do we need a single tool?

No. The pipeline should fit your repositories and hosting constraints. The same principles apply with GitHub Actions, GitLab CI or an internal integration server.

What about existing tests that fail?

We triage them: obsolete tests to delete, flaky tests to fix, missing tests to write. A test that fails with no identified reason destroys trust in the whole pipeline and must be handled first.

Related case studies

Talk about my CI/CD pipeline

Describe your current pipeline and constraints. I will propose a fast diagnosis with measurable duration and reliability targets.

Talk about my CI/CD pipeline