Does it support integrated security scanning?

Absolutely. The skill provides ready-to-use templates for GitLab SAST, dependency scanning, and Trivy container vulnerability checks to ensure shift-left security.

Can I use these patterns for Kubernetes deployments?

Yes, it includes comprehensive patterns for deploying to K8s using kubectl, including environment-specific configurations, staging/production splits, and manual rollout gates.

How does this skill improve GitLab pipeline performance?

It implements specific caching strategies for node_modules and build dependencies, along with optimized artifact handling to reduce job execution time and runner overhead.

Is this skill restricted to specific programming languages?

No. While the examples demonstrate Node.js and Docker, the CI/CD patterns are language-agnostic and can be adapted for any technology stack supported by GitLab.

GitLab CI/CD Automation Patterns

Name: GitLab CI/CD Automation Patterns
Author: HermeticOrmus

byHermeticOrmus

Despliegue y DevOps

Automates the creation of high-performance GitLab CI/CD pipelines using proven multi-stage patterns and best practices.

Acerca de

This skill provides a comprehensive library of GitLab CI/CD pipeline patterns designed to streamline software delivery and optimize automation. It enables developers to implement efficient multi-stage workflows—including automated testing, Docker containerization, Kubernetes deployments, and Infrastructure as Code with Terraform. By incorporating advanced features like distributed caching, dynamic child pipelines, and integrated security scanning, this skill helps reduce build times and ensure robust deployment strategies while following industry-standard DevOps principles within the GitLab ecosystem.

Características Principales

Docker-in-Docker (DinD) and container registry integration templates
Automated security scanning including SAST and Trivy container audits
Multi-stage pipeline orchestration for build, test, and deploy cycles
Optimized dependency caching and artifact management strategies
0 GitHub stars
Kubernetes and GitOps deployment configurations with environment tracking

Casos de Uso

Deploying containerized applications to Kubernetes environments via GitLab Runners
Automating Infrastructure as Code (IaC) workflows using Terraform providers
Setting up automated testing and build pipelines for GitLab projects

Acerca de

Características Principales

Docker-in-Docker (DinD) and container registry integration templates
Automated security scanning including SAST and Trivy container audits
Multi-stage pipeline orchestration for build, test, and deploy cycles
Optimized dependency caching and artifact management strategies
0 GitHub stars
Kubernetes and GitOps deployment configurations with environment tracking

Casos de Uso

Deploying containerized applications to Kubernetes environments via GitLab Runners
Automating Infrastructure as Code (IaC) workflows using Terraform providers
Setting up automated testing and build pipelines for GitLab projects