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Duration 21 hours
Course Outline
1. Concepts and Scope of Static Code Analysis
- Definitions: static analysis, SAST, rule categories, and severity levels
- The role of static analysis in secure SDLC and risk coverage
- How SonarQube aligns with security controls and developer workflows
2. SonarQube Overview: Features and Architecture
- Core services, database structure, and scanner components
- Quality Gates, Quality Profiles, and best practices for governance
- Security-related features: vulnerabilities, SAST rules, and CWE mapping
3. Navigating the SonarQube Server UI
- Tour of the Server UI: projects, issues, rules, measures, and governance views
- Interpreting issue pages, traceability, and remediation guidance
- Options for report generation and export
4. Configuring SonarScanner with Build Tools
- Setting up SonarScanner for Maven, Gradle, Ant, and MSBuild
- Best practices for scanner properties, exclusions, and multi-module projects
- Generating required test data and coverage reports for accurate analysis
5. Integration with Azure DevOps
- Configuring SonarQube service connections within Azure DevOps
- Incorporating SonarQube tasks into Azure Pipelines and enabling PR decoration
- Importing Azure Repos into SonarQube and automating analyses
6. Project Configuration and Third-Party Analyzers
- Project-level Quality Profiles and rule selection for Java and Angular
- Working with third-party analyzers and understanding the plugin lifecycle
- Defining analysis parameters and managing parameter inheritance
7. Roles, Responsibilities, and Secure Development Methodology Review
- Segregation of roles: developers, reviewers, DevOps, and security owners
- Building a roles & responsibilities matrix for CI/CD processes
- Reviewing and recommending improvements to an existing secure development methodology
8. Advanced: Adding Rules, Tuning, and Enhancing Global Security Features
- Utilizing the SonarQube Web API to add and manage custom rules
- Adjusting Quality Gates and enforcing automated policies
- Hardening SonarQube server security and applying access control best practices
9. Hands-on Lab Sessions (Applied)
- Lab A: Configure SonarScanner for 5 Java repositories (Quarkus where applicable) and analyze the results
- Lab B: Set up Sonar analysis for 1 Angular front-end and interpret the findings
- Lab C: Full pipeline lab—integrating SonarQube with an Azure DevOps pipeline and enabling PR decoration
10. Testing, Troubleshooting, and Report Interpretation
- Strategies for test data generation and measuring coverage
- Addressing common issues and troubleshooting scanner, pipeline, and permission errors
- How to read and present SonarQube reports to both technical and non-technical stakeholders
11. Best Practices and Recommendations
- Selecting rule sets and implementing incremental enforcement strategies
- Workflow recommendations for developers, reviewers, and build pipelines
- A roadmap for scaling SonarQube in enterprise environments
Summary and Next Steps
Requirements
- A solid understanding of the software development lifecycle
- Practical experience with source control and fundamental CI/CD concepts
- Familiarity with Java or Angular development environments
Target Audience
- Developers (Java / Quarkus / Angular)
- DevOps and CI/CD engineers
- Security engineers and application security reviewers
Testimonials (1)
Engaging, and hands on practise.
