How does this skill help with GitLab pipeline performance?

It provides optimized caching strategies and artifact management patterns to significantly reduce build times and resource consumption across distributed runners.

Can I use this for Kubernetes deployments?

Yes, it includes specific templates for deploying to Kubernetes environments using kubectl, including multi-environment staging and production configurations.

Does it support security best practices?

Absolutely, it includes ready-to-use patterns for SAST, dependency scanning, and container vulnerability checks using industry-standard tools like Trivy.

Is it compatible with Terraform for Infrastructure as Code?

Yes, the skill features dedicated patterns for Terraform workflows, including automated validation, plan generation, and manual approval gates for infrastructure changes.

GitLab CI/CD Pipeline Patterns

Name: GitLab CI/CD Pipeline Patterns
Author: Microck

byMicrock

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114

Deployment & DevOps

Streamlines the creation of high-performance GitLab CI/CD pipelines using proven multi-stage workflows and optimization patterns.

About

This skill provides a comprehensive library of GitLab CI/CD patterns designed to automate testing, building, and deployment workflows. It covers essential DevOps practices including multi-stage pipeline organization, efficient caching strategies, Docker containerization, and infrastructure-as-code deployments via Terraform. Whether you are setting up automated security scanning with Trivy or implementing complex GitOps deployment strategies to Kubernetes, this skill offers production-ready YAML templates and best practices to ensure scalable and reliable automation within the GitLab ecosystem.

Key Features

Multi-stage pipeline architecture for build, test, and deploy cycles
Optimized caching and artifact management for faster CI/CD execution
Production-ready templates for Docker, Kubernetes, and Terraform
Integrated security scanning and dependency auditing patterns
Support for dynamic child pipelines and multi-environment workflows
114 GitHub stars

Use Cases

Setting up a robust CI/CD pipeline for a new GitLab project
Optimizing existing pipeline performance through advanced caching
Implementing secure, manual-gate deployments to production environments

About

Key Features

Multi-stage pipeline architecture for build, test, and deploy cycles
Optimized caching and artifact management for faster CI/CD execution
Production-ready templates for Docker, Kubernetes, and Terraform
Integrated security scanning and dependency auditing patterns
Support for dynamic child pipelines and multi-environment workflows
114 GitHub stars

Use Cases

Setting up a robust CI/CD pipeline for a new GitLab project
Optimizing existing pipeline performance through advanced caching
Implementing secure, manual-gate deployments to production environments