Projects with this topic
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Medium-interaction SSH/Telnet honeypot built with Cowrie, Loki, Promtail, and Grafana - provisioned on DigitalOcean via Terraform with a GitLab CI validation pipeline.
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Cloud-native DevOps portfolio project with Docker, Kubernetes, GitLab CI/CD, Terraform, AWS and Trivy.
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This basic note-taking application is used to showcase the different GitLab features around security and governance. To get started checkout the Full Tutorial Documentation.
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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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This repository provides a comprehensive, production-grade blueprint for a modern DevSecOps pipeline. It showcases the integration of GitLab CI/CD, Terraform, HashiCorp Vault, and various security tools to build, test, and deploy a containerized Python application to AWS securely and efficiently.
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This project serves as a comprehensive reference implementation for enterprise DevSecOps practices, demonstrating how security, automation, and observability integrate seamlessly in modern cloud applications.
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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 -
A local Infrastructure-as-Code (IaC) development environment for security and compliance validation. The current iteration uses Terraform and AWS emulation via LocalStack, focusing on IAM roles, secrets management, S3 access control and regulatory policies (e.g., GDPR/HIPAA). Implemented constrained DevSecOps practices within a local development context.
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Google Cloud Shift-left security demonstration containing infrastructure, continuous delivery pipeline and tooling to support security from within a build pipeline
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