Is security integrated into these patterns?

Yes, the skill provides ready-to-use patterns for SAST, dependency scanning, and container vulnerability checks using tools like Trivy.

Does it support Infrastructure as Code?

Yes, it contains specialized pipeline structures for managing Terraform workflows, including validation, planning, and auto-approval stages.

Can I use this for Dockerized applications?

Absolutely, it provides patterns for building, tagging, and pushing Docker images to the GitLab Container Registry using Docker-in-Docker (dind).

Does this skill support multi-environment setups?

Yes, it includes templates for staging and production environments with built-in manual gates for production deployments.

How does it help with pipeline performance?

The skill includes specific caching strategies for node_modules and other dependencies, as well as artifact management tips to reduce redundant build steps.

GitLab CI/CD Patterns

Name: GitLab CI/CD Patterns
Author: as4584

byas4584

Despliegue y DevOps

Automates the creation and optimization of GitLab CI/CD pipelines using industry best practices for testing, building, and deployment.

Acerca de

This skill provides a comprehensive library of GitLab CI/CD pipeline templates and patterns, enabling developers to quickly set up robust automation workflows. It covers everything from basic multi-stage builds and Docker containerization to complex multi-environment Kubernetes deployments, Terraform infrastructure-as-code pipelines, and integrated security scanning. By implementing optimized caching strategies and distributed runner configurations, it helps teams improve pipeline performance while maintaining high standards for code quality and security.

Características Principales

Optimized Docker build and container registry workflows
Multi-stage pipeline architecture for build, test, and deployment
Advanced caching and artifact management for faster execution
0 GitHub stars
Automated Kubernetes and Terraform deployment patterns
Integrated security scanning including SAST and container audits

Casos de Uso

Implementing secure, multi-environment deployment workflows with manual approval gates
Optimizing pipeline speed using advanced caching and runner configurations
Setting up a production-ready CI/CD pipeline for a new GitLab project

Acerca de

Características Principales

Optimized Docker build and container registry workflows
Multi-stage pipeline architecture for build, test, and deployment
Advanced caching and artifact management for faster execution
0 GitHub stars
Automated Kubernetes and Terraform deployment patterns
Integrated security scanning including SAST and container audits

Casos de Uso

Implementing secure, multi-environment deployment workflows with manual approval gates
Optimizing pipeline speed using advanced caching and runner configurations
Setting up a production-ready CI/CD pipeline for a new GitLab project