What languages are supported by these GitLab CI patterns?

While the examples feature Node.js and Docker, the architectural patterns are language-agnostic and can be easily adapted for Python, Go, Java, or any other tech stack.

Can I use this for security scanning?

Absolutely. The skill includes patterns for SAST, Dependency Scanning, and Container Scanning using tools like Trivy and GitLab's built-in security templates.

Does this skill support multi-environment deployments?

Yes, it includes specific templates for managing staging and production environments, including manual approval gates and environment-specific variable configurations.

Does it cover Infrastructure as Code?

Yes, it provides a dedicated Terraform pipeline pattern that manages the full lifecycle: validation, planning, and manual-triggered application of infrastructure changes.

How does this skill help with pipeline performance?

It provides optimized caching configurations for dependencies and utilizes artifacts efficiently to prevent redundant work across pipeline stages.

GitLab CI/CD Pipeline Patterns

Name: GitLab CI/CD Pipeline Patterns
Author: yusoofsh

byyusoofsh

Deployment & DevOps

Automates the creation and optimization of GitLab CI/CD pipelines using industry-standard patterns for testing, building, and multi-environment deployment.

About

This skill provides a comprehensive collection of GitLab CI/CD templates and best practices designed to streamline DevOps workflows. It offers ready-to-use patterns for Docker containerization, Kubernetes deployments, infrastructure as code with Terraform, and integrated security scanning. By implementing these standardized workflows, developers can reduce pipeline complexity, improve build performance through advanced caching strategies, and establish secure, scalable automated delivery pipelines within the GitLab ecosystem.

Key Features

Optimized caching strategies to significantly reduce pipeline execution time
Kubernetes and GitOps deployment workflows with environment tracking
0 GitHub stars
Multi-stage workflow templates for building, testing, and deployment
Docker-in-Docker (DinD) and container registry integration patterns
Integrated security scanning including SAST and container vulnerability checks

Use Cases

Setting up production-ready CI/CD pipelines for containerized applications
Implementing multi-environment deployment strategies with manual approval gates
Automating infrastructure provisioning with Terraform through GitLab runners

About

Key Features

Optimized caching strategies to significantly reduce pipeline execution time
Kubernetes and GitOps deployment workflows with environment tracking
0 GitHub stars
Multi-stage workflow templates for building, testing, and deployment
Docker-in-Docker (DinD) and container registry integration patterns
Integrated security scanning including SAST and container vulnerability checks

Use Cases

Setting up production-ready CI/CD pipelines for containerized applications
Implementing multi-environment deployment strategies with manual approval gates
Automating infrastructure provisioning with Terraform through GitLab runners