Cloud, Security & Operations
CI/CD Implementation
CI/CD implementation automates build, test and deployment pipelines in GitHub Actions, GitLab CI, Azure DevOps or Jenkins, making releases routine and reliable.
Capability overview
What ci/cd implementation involves
Continuous integration and continuous delivery replace manual build and release steps with pipelines that run on every change. Code is compiled, tested, scanned and packaged automatically, then promoted through environments with the same process each time, removing the release-day scramble.
We build pipelines in the platform your team already uses, including GitHub Actions, GitLab CI, Azure DevOps and Jenkins, and add deployment strategies such as blue-green, canary or feature flags so releases can be rolled back in minutes if monitoring shows a problem.
What is included
Pipeline capabilities
Continuous integration
Builds, unit tests, linting and static analysis run on every pull request, with results reported back before code review.
Artefact management
Versioned container images and packages stored in registries such as ECR, GitHub Packages, Artifactory or Nexus and signed for integrity.
Environment promotion
The same artefact deployed to test, staging and production, with automated checks and optional manual approval gates.
Progressive delivery
Blue-green switches, canary releases or feature flags that limit the impact of a faulty change.
How we work
How we deliver ci/cd implementation
Pipeline audit
Existing build scripts, release checklists and manual steps catalogued.
Template design
Reusable pipeline templates created so each new service inherits the same standards.
Service onboarding
Applications moved to the new pipelines one at a time, starting with a representative service.
Test integration
Existing automated tests wired in, with slow or flaky tests identified for fixing or quarantine.
Release handover
Teams trained to own and extend pipelines, with runbooks for failed builds and rollbacks.
Related capabilities
Related capabilities in Cloud & DevOps
Infrastructure as Code
Defining cloud and on-premises infrastructure in version-controlled code with Terraform, OpenTofu, Bicep or Pulumi, so environments are reproducible, reviewed and free from manual drift.
Containerization
Containerization packages applications and their dependencies into container images so they run identically across laptop, testing and production environments.
Kubernetes
Design, build and operation of production Kubernetes clusters on EKS, AKS, GKE or on premises, with the networking, security, autoscaling and GitOps practices needed to run them safely.
Site Reliability Engineering
Engineering practices that keep production systems reliable: service level objectives, error budgets, on-call and incident management, and automation that removes repetitive operational work.
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Where this applies
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Questions & answers
Questions about CI/CD Implementation
Cannot find what you need? Our team responds to technical and commercial questions within one business day.
Ask a questionUsually the one closest to your source control. Teams on GitHub benefit from GitHub Actions, GitLab users from GitLab CI, and Microsoft-centric teams from Azure DevOps. Jenkins remains useful where heavy customisation is needed.
Yes. Even applications without automated tests benefit from repeatable builds and scripted deployments. Tests are then added gradually around the most changed code.
Not necessarily. Continuous delivery keeps every change ready to release, while an approval step can remain before production. Fully automatic deployment is continuous deployment, a separate choice.
Pipeline templates and the first service usually take three to four weeks. Additional services then onboard in days each, depending on build complexity.
Next step
Discuss ci/cd implementation with Acmez
Share what you need to change, build, integrate or support. We will map the practical next step.