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Implementation of a security-centric CI/CD pipeline, featuring code quality checks, vulnerability scanning, artifact publishing, secure Kubernetes deployment, and continuous monitoring.

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ChetanThapliyal/Secure-cloudNative-CI-CD-pipeline

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A security-centric CI/CD pipeline which integrates cutting-edge tools and practices to ensure robust code quality, vulnerability scanning, artifact publishing, secure Kubernetes deployment, and continuous monitoring.

The pipeline is used to deploy theBoardgameListingWebApp, a full-stack web application that displays lists of board games and their reviews. While anyone can view the board game lists and reviews, they are required to log in to add/ edit the board games and their reviews. The 'users' have the authority to add board games to the list and add reviews, and the 'managers' have the authority to edit/ delete the reviews on top of the authorities of users.

Table of Contents

Introduction

This project implements a comprehensive security-centric CI/CD pipeline designed for modern cloud-native applications. Built on Google Cloud Platform (GCP), it demonstrates enterprise-grade security practices and automation throughout the software development lifecycle.

Security-centric CI/CD Pipeline

Key Features

  • Security by Design:

    • Multi-layer security scanning with Aqua Trivy and SonarQube
    • Kubernetes security auditing using Kubeaudit
    • Secure artifact storage with Nexus Repository
    • Automated vulnerability assessments at code and container levels
  • Automation First:

    • Fully automated pipeline using Jenkins
    • Infrastructure as Code with Terraform
    • Containerized deployments with Docker and Kubernetes
    • Automated quality gates and security checks
  • Comprehensive Monitoring:

    • Real-time system metrics with Prometheus
    • Visual dashboards through Grafana
    • Automated alerts via Gmail
    • Blackbox monitoring for external endpoint health

Business Benefits

  • Reduced security risks through automated scanning and continuous monitoring
  • Faster time to market with automated deployment pipeline
  • Improved code quality through automated testing and analysis
  • Enhanced reliability with continuous monitoring and alerting

For a detailed walkthrough of the implementation, check out mycomprehensive blog post.

Technologies Used

  • Kubernetes: Container orchestration platform.
  • Jenkins: CI/CD automation server.
  • SonarQube: Code quality and static analysis.
  • Aqua Trivy: Vulnerability scanning for code and container images.
  • Nexus Repository: Artifact repository for secure storage.
  • Docker: Containerization technology.
  • Docker Hub: Docker image registry.
  • Kubeaudit: Tool to audit Kubernetes clusters for various different security concerns.
  • Grafana: For system and application-level monitoring and alerting.
  • Prometheus: For collecting and querying metrics from services and endpoints.
  • Gmail: For status notifications and alerts.

Project Structure

  • config/: Configuration files for Kubernetes, Jenkins, SonarQube, etc.
  • scripts/: Deployment and automation scripts.
  • src/: Contains the source code of the demonstration application, Gcloud Infra and installation scripts, Kubernetes configuration files, etc.
  • terraform/ : Terraform configuration files.
  • Jenkinsfile: Declarative Jenkins pipeline definition.

Workflow

  1. Development:
    • Developers create feature branches and push code to GitHub.
  2. CI/CD Pipeline Trigger:
    • Code changes trigger the Jenkins CI/CD pipeline.
  3. Build and Unit Testing:
    • [Build tool] compiles the code and executes unit tests.
  4. Code Quality and Security:
    • SonarQube performs code quality analysis.
    • Aqua Trivy scans for vulnerabilities in code dependencies.
  5. Artifact Creation:
    • A build artifact (e.g., JAR, WAR) is generated.
  6. Artifact Publishing:
    • The artifact is pushed to Nexus Repository.
  7. Container Image Build:
    • Docker creates a container image using the artifact.
  8. Image Vulnerability Scan:
    • Aqua Trivy scans the image for vulnerabilities.
  9. Deployment:
    • If all checks pass, the image is deployed to Kubernetes.
  10. Monitoring and Notifications:
    • Monitoring solutions track system and website health.
    • Emails are sent for deployment status and critical alerts.

Proect Snippets

Deployed WebsiteGrafanaDashboardBlackbox ExporterWebsite Traffic Monitor

Getting Started

Prerequisites

Installation

  1. Clone the repository:
    https://github.com/ChetanThapliyal/Secure-cloudNative-CI-CD-pipeline.git
  2. Navigate to the project directory:
    cd Secure-cloudNative-CI-CD-pipeline
  3. Follow the setup instructions for each component in the config/ directory.

Contributing

Contributions are welcome! Please read thecontributing guidelines first.

  1. Fork the repository.
  2. Create a new branch (git checkout -b feature/your-feature).
  3. Commit your changes (git commit -m 'Add some feature').
  4. Push to the branch (git push origin feature/your-feature).
  5. Open apull request.

License

This project is licensed under the MIT License - see theLICENSE file for details.

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Implementation of a security-centric CI/CD pipeline, featuring code quality checks, vulnerability scanning, artifact publishing, secure Kubernetes deployment, and continuous monitoring.

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