DevSecOps Pipeline – Static Code Analysis + SCA

Here is one of my recent IT consulting missions where I helped a fintech startup integrate security into their CI/CD pipeline by implementing static code analysis (SAST) and software composition analysis (SCA) tools.

Client: Trivexa Core (Startups FinTech / CI/CD)
Consultant: Samuel Ndala – DevSecOps Consultant
Duration: 1 week
Delivery Date: April 30, 2024
Project Type: DevSecOps Integration – Secure CI/CD Pipeline

Project Summary

Trivexa Core needed to ensure that their microservice-based application stack remained secure at every stage of development. This mission involved integrating SAST and SCA tools into their CI/CD pipeline, automating security checks on every push to detect vulnerabilities early.

Objectives

  • Integrate Static Application Security Testing (SAST) in the pipeline

  • Implement Software Composition Analysis (SCA) to detect vulnerable libraries

  • Automate security scanning during PRs and main deployments

  • Generate developer-friendly reports with fix recommendations

  • Ensure zero interruption to deployment speed

Architecture Overview

Security Tools Implemented

  • SAST: SonarQube Community Edition

  • SCA: OWASP Dependency-Check + GitHub Advisory DB

  • ✅ Pipeline triggered on PR and push to main

  • ✅ Vulnerabilities blocked builds over severity threshold

  • ✅ Reports exported in HTML + JSON and stored in Artifacts tab

Key Deliverables

  • 📄 ci-cd.yml pipeline file with full integration

  • 🧪 SAST & SCA security scan outputs (.html/.json)

  • 📘 Developer fix guide (markdown doc + screenshots)

  • 📊 Scan dashboard image (with severity and risk)

  • 💡 Recommendations for policy enforcement and branch protection

Results & Impact

✅ 17 vulnerabilities detected, including 2 high severity
✅ SCA flagged outdated packages used in 4 microservices
✅ SAST identified 6 hardcoded secrets in non-prod branches
✅ Developers trained on how to read and fix security issues

Tools & Tech Used

  • Pipeline: GitHub Actions

  • Security Tools: SonarQube, Dependency-Check, Trivy

  • Languages Audited: Node.js, Python, YAML

  • Reporting: JSON, HTML, Markdown

  • Enforcement: Fail pipeline on severity > Medium

Conclusion

This mission transformed a basic CI/CD workflow into a DevSecOps-enabled pipeline. Security is now part of every commit and pull request, empowering developers to catch vulnerabilities before production. Trivexa Core now deploys with confidence and audit readiness.

What is Cloud Computing ?

Cloud computing delivers computing resources (servers, storage, databases, networking, and software) over the internet, allowing businesses to scale and pay only for what they use, eliminating the need for physical infrastructure.


  • AWS: The most popular cloud platform, offering scalable compute, storage, AI/ML, and networking services.
  • Azure: A strong enterprise cloud with hybrid capabilities and deep Microsoft product integration.
  • Google Cloud (GCP): Known for data analytics, machine learning, and open-source support.