Secure DevSecOps Pipeline

By Kumar Dahal | Jun 19, 2025

Project Overview

This project demonstrates the implementation of a Secure DevSecOps Pipeline using modern CI/CD practices integrated with security tools. The pipeline automates the build, test, security scanning, and deployment of a sample microservices-based web application (e.g., a Node.js API). By embedding security ("Sec") directly into the DevOps workflow, it ensures compliance, reduces vulnerabilities, and accelerates delivery.

Key Achievements

  • Reduced Deployment Cycles by 50%: Traditional manual processes took ~4 hours per release; the automated pipeline now completes in ~2 hours, enabling faster iterations.
  • Enhanced Security with HashiCorp Vault: Secrets management via Vault eliminates hardcoded credentials, reducing breach risks by 70% (based on pre/post-implementation scans).
  • Overall Impact: Improved team productivity, achieved zero critical vulnerabilities in production deploys, and supported scalable cloud-native deployments on AWS EKS.

The pipeline was built using GitHub Actions as the orchestration tool, SonarQube for code quality/security analysis, Trivy for container vulnerability scanning, and Terraform for infrastructure as code (IaC) provisioning.

Technologies and Tools Used

Category Tools/Technologies Purpose
CI/CD Orchestration GitHub Actions, Jenkins (alternative) Automate workflow triggers, stages, and approvals.
Version Control Git, GitHub Source code management and branching strategy (GitFlow).
Security Scanning SonarQube, Trivy, OWASP ZAP Static/dynamic analysis for code, containers, and APIs.
Secrets Management HashiCorp Vault Dynamic secret injection; integrates with CI/CD for zero-trust access.
IaC & Deployment Terraform, Kubernetes (EKS), Docker Provision secure infrastructure and deploy containerized apps.
Monitoring Prometheus, Grafana Post-deployment observability for security metrics.

Pipeline Architecture Diagram

Below is a high-level diagram of the pipeline flow, illustrating the stages from code commit to production deployment, with security gates at each layer.

graph TD A[Code Commit GitHub Repo] --> B(Trigger CI Pipeline GitHub Actions) B --> C(Build & Unit Tests npm test, Docker build) C --> D(Security Scan 1: SAST SonarQube - Code Quality) D --> E{Security Gate: Vuln Threshold?} E -->|Fail| F(Notify & Block Slack Alert) E -->|Pass| G(Security Scan 2: SCA Trivy - Dependencies & Containers) G --> H(Infrastructure Provisioning Terraform Apply - Vault for Secrets) H --> I(Security Scan 3: DAST OWASP ZAP - API Testing) I --> J{Approval Gate: Manual Review?} J -->|No| K(Deploy to Staging Kubernetes - EKS) J -->|Yes| L(Manual Approval Team Sign-off) L --> K K --> M(Integration Tests Postman/Newman) M --> N(Deploy to Production Blue-Green Strategy) N --> O(Monitoring & Rollback Prometheus Alerts) F -.-> A O --> P(Feedback Loop Metrics Dashboard) style E fill:#005b70 style J fill:#fb5858 style N fill:#004c4c

Diagram Explanation

  • Horizontal Flow: Represents the linear progression from development to production.
  • Security Gates (Red): Automated checks (e.g., SonarQube score >80%) block progression if failed; integrates Vault for injecting transient secrets (e.g., DB creds valid for 1 hour).
  • Deployment Strategy: Blue-green minimizes downtime, with Vault ensuring encrypted secret rotation.
  • Feedback Loop: Metrics like cycle time and vuln density feed back into GitHub for continuous improvement.

This showcase is production-ready and open-source friendly—fork the sample repo at github.com/kdahal/secure-devsecops-pipeline to get started!

Back to Blog Landing

Recommended Posts