How does this skill help reduce GitLab runner costs?

It provides patterns for workflow rules and auto-cancel settings that prevent redundant pipelines from running on every commit, saving significant compute time.

Does it support modular CI/CD configurations?

Absolutely. The skill demonstrates how to use the 'include' keyword to split large .gitlab-ci.yml files into manageable, reusable components.

Is the configuration compatible with GitLab SaaS and Self-Managed?

Yes, the patterns follow the standard GitLab CI/CD YAML syntax which is supported across all GitLab distributions.

Can I use this for complex microservices architectures?

Yes, it includes patterns for using Directed Acyclic Graphs (DAG) with the 'needs' keyword, allowing services to build and deploy independently within a single pipeline.

Can this skill help with environment-specific variables?

Yes, it provides examples of branch-based workflow rules that dynamically assign variables like DEPLOY_ENV based on the git reference.

GitLab CI Pipeline Configuration

Name: GitLab CI Pipeline Configuration
Author: TheBushidoCollective

byTheBushidoCollective

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Despliegue y DevOps

Architects and optimizes GitLab CI/CD pipelines with robust stage ordering, workflow rules, and efficient execution patterns.

Acerca de

This skill empowers developers to build professional-grade GitLab CI/CD pipelines by providing structured patterns for stage management, parallel job execution, and Directed Acyclic Graph (DAG) optimization. It covers everything from basic sequential stages to complex multi-file configurations using includes and conditional workflow rules. By implementing best practices like interruptible jobs and the 'needs' keyword, it helps minimize CI runner usage while maximizing deployment velocity and reliability.

Características Principales

Modular configuration management via local and remote includes
39 GitHub stars
Optimized stage ordering and parallel job orchestration
DAG pipeline implementation using the 'needs' keyword
Automated redundant pipeline cancellation and variable scoping
Advanced workflow rules for branch and merge request logic

Casos de Uso

Setting up complex CI/CD environments with conditional logic for staging and production
Refactoring monolithic pipelines into high-performance DAG-based workflows
Standardizing pipeline templates across multiple repositories using external includes

Acerca de

Características Principales

Modular configuration management via local and remote includes
39 GitHub stars
Optimized stage ordering and parallel job orchestration
DAG pipeline implementation using the 'needs' keyword
Automated redundant pipeline cancellation and variable scoping
Advanced workflow rules for branch and merge request logic

Casos de Uso

Setting up complex CI/CD environments with conditional logic for staging and production
Refactoring monolithic pipelines into high-performance DAG-based workflows
Standardizing pipeline templates across multiple repositories using external includes