SonarQube for Secure SDLC and Azure DevOps Training Course

1. Concepts and Scope of Static Code Analysis

• Definitions: static analysis, SAST, rule categories, and severity levels
• The role of static analysis in a secure SDLC and risk coverage
• How SonarQube integrates with security controls and developer workflows

2. SonarQube Overview: Features and Architecture

• Core services, database, and scanner components
• Quality Gates, Quality Profiles, and best practices for implementation
• 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
• Generating and exporting reports

4. Configuring SonarScanner with Build Tools

• Setup of SonarScanner for Maven, Gradle, Ant, and MSBuild
• Best practices for scanner properties, exclusions, and multi-module projects
• Generating necessary 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 PR decoration
• Importing Azure Repos into SonarQube and automating analysis processes

6. Project Configuration and Third-Party Analyzers

• Project-level Quality Profiles and rule selection for Java and Angular
• Managing third-party analyzers and plugin lifecycles
• Defining analysis parameters and parameter inheritance

7. Roles, Responsibilities, and Secure Development Methodology Review

• Segregation of roles: developers, reviewers, DevOps, and security owners
• Creating a roles & responsibilities matrix for CI/CD processes
• Reviewing and recommending improvements to existing secure development methodologies

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 access control best practices

9. Hands-on Lab Sessions (Applied)

• Lab A: Configure SonarScanner for five Java repositories (including Quarkus where applicable) and analyze the results
• Lab B: Configure Sonar analysis for one Angular front-end application and interpret the findings
• Lab C: Comprehensive pipeline lab—integrate SonarQube with an Azure DevOps pipeline and enable PR decoration

10. Testing, Troubleshooting, and Report Interpretation

• Strategies for test data generation and coverage measurement
• Addressing common issues and troubleshooting scanner, pipeline, and permission errors
• Reading and presenting SonarQube reports to both technical and non-technical stakeholders

11. Best Practices and Recommendations

• Selecting rule sets and strategies for incremental enforcement
• Workflow recommendations for developers, reviewers, and build pipelines
• Roadmap for scaling SonarQube in enterprise environments

Summary and Next Steps