gitlab-ci-patterns

The gitlab-ci-patterns skill provides a comprehensive toolkit for architects and DevOps engineers to design, build, and optimize GitLab CI/CD pipelines. It focuses on modular configuration, enabling teams to enforce high-performance standards across software delivery lifecycles. By providing battle-tested YAML templates, this skill accelerates the creation of pipelines that integrate building, testing, containerization, and deployment into a unified, version-controlled process.

• Multi-stage pipeline architecture including build, test, and deploy phases with distinct job isolation.

• Advanced caching strategies to minimize build times and optimize dependency management (e.g., node_modules, .cache).

• Infrastructure-as-code integration for deploying applications to Kubernetes clusters using kubectl.

• Containerization best practices including Docker-in-Docker (dind) workflows and secure registry interactions.

• Security scanning templates for SAST, Dependency Scanning, and Container Scanning via Trivy.

• Terraform pipeline integration for automated infrastructure provisioning and validation.

• Dynamic child pipeline generation for complex, context-dependent workflows.

• Environment-based deployment gating using manual triggers and protected branches.

• Use this skill when you need to move from manual deployments to a robust GitOps workflow.

• Ideal for teams standardizing CI/CD across multiple microservices or monorepo structures.

• Ensure your environment variables, such as KUBE_URL and CI_REGISTRY, are properly configured in the GitLab UI to enable secure execution.

• Always use explicit image tagging (e.g., node:20) instead of floating tags like latest to ensure build reproducibility.

• Implement artifacts to pass build outputs between pipeline stages safely and efficiently.

• Leverage the provided templates to enforce merge request pipelines and pipeline schedules for recurring quality checks.