Projects with this topic
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Actual Budget Infrastructure Resources
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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, GunicornUpdated -
This project is used to manage Ansible test utilities in order to facilitate testting with Ansible provider
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Fedora Workstation 42 configuration using Ansible
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Permissions for Terraform to manage my AWS account
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A fully automated 13-stage DevSecOps CI/CD pipeline that integrates security, compliance, and cloud-native deployment using GitLab CI and Amazon EKS.
The pipeline demonstrates real-world DevSecOps practices including:
• SAST, dependency, container, IaC, and Kubernetes manifest scanning • SBOM generation (CycloneDX) • Automated POA&M creation mapped to NIST controls • Evidence packaging for compliance audits • Secure image push to Amazon ECR • Deployment and validation on Amazon EKS • Full run-to-completion behavior (lab mode) with findings documented rather than blocking
This project showcases an end-to-end secure software supply chain workflow suitable for: cloud engineering, DevOps, cybersecurity, and compliance automation demonstrations.
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Le projet« BIOINDIC, Amélioration des connaissances et des pratiques – indicateurs biologiques », a proposé de comparer des écosystèmes restaurés à des écosystèmes « naturels » adjacents sur substrats ultramafiques.
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A demo repo containing an IaC validation pipeline sample with Terraform and OPA.
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Mirror for devguard-ci-components
DevGuard simplifies vulnerability management for developers by integrating key security practices directly into the CI/CD workflow. With DevGuard, you can seamlessly perform tasks such as Software Composition Analysis (SCA) and Container Scanning, ensuring that vulnerabilities are detected and addressed early in your pipeline.
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Minimal multiarch tfenv & tfenv Alpine image, updated by Gitlab CI/CD scheduling.
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Echo is a computer vision app for brain tumor detection and classification on MRI scans: end-to-end computer vision pipeline, interactive web interface, and production-grade infrastructure.
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Fedora Workstation Setup Scripts for Desktop
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Bootstraps my development environments with Ansible!
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