GitLab

Licensed under BUSL. Helper that fetches temporary credentials, secrets and parameters using Cognito and ABAC from AWS and exposes them to Jobs. (Mirror of private repository.)

Bootstrap Project for lighting-control

Different types of reusable components used across all my projects on GitLab.

Atlas Architect: Your AI Co-pilot for Secure Cloud Infrastructure

This project is an AI-powered DevSecOps agent that lives within GitLab. It proactively analyzes Infrastructure-as-Code (IaC) files, specifically Terraform, to automatically visualize, secure, and optimize a developer's Google Cloud architecture before it's ever deployed.

When a developer submits a Merge Request with Terraform changes, a CI/CD pipeline triggers the agent to post a detailed analysis back as a comment. This provides instant visibility and governance, helping teams build better, safer cloud infrastructure, faster.

Key Features:

AI-Powered Visualization: Generates architecture diagrams from Terraform code using Google's Vertex AI. Security & Cost Analysis: Identifies security vulnerabilities and cost inefficiencies based on best practices. Intelligent Remediation: Automatically suggests code changes to fix identified issues. Vector-Powered Knowledge Base: Uses a MongoDB Atlas Vector Search index of official Google Cloud documentation to provide highly relevant, context-aware explanations for its recommendations.

Core Technologies:

Platform: GitLab CI/CD, Google Cloud Platform (GCP), MongoDB Atlas Services: Google Cloud Run, Google Cloud Build, Google Vertex AI, MongoDB Atlas Vector Search Frameworks & Languages: Python, Flask, Gunicorn

Terraform module.

Terraform module for managing gitlab

Stock Control Supervisors- Google Cloud Platform- monitoring dashboard samples

JarylC's Personal GitLab Infrastructure-as-Code

GitLab group and project configuration as code.

This project implements a Continuous Integration and Continuous Deployment (CI/CD) pipeline for a Node.js application using GitLab CI/CD, Docker, and Docker Hub. The goal is to automate the process of building, testing, and deploying the application through various stages, ensuring consistency and reliability across environments.

This repository demonstrates how to implement a secure CI/CD pipeline using GitLab and Google Cloud Platform, focusing on:

🔐 Workload Identity Federation for secure authentication 📦 Artifact Registry for container images 🛡️ Binary Authorization for image signing 🔍 Vulnerability scanning 🚀 Progressive delivery with Cloud Deploy

Terraform Infrastructure Automated Provisioning and Versioning

Global configurations of the SS open group, backed by Terraform.

ci-template

This project is a working example for managing a database in Amazon RDS Aurora with GitLab and Terraform