SonarQube for Secure SDLC and Azure DevOps Training Course

1. Static Code Analysis: Concepts and Scope

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

2. SonarQube Overview: Features and Architecture

• Core services, database structures, and scanner components
• Best practices for Quality Gates, Quality Profiles, and governance
• Security-specific features: vulnerabilities, SAST rules, and CWE mapping

3. Navigating and Utilizing the SonarQube Server UI

• A tour of the Server UI: projects, issues, rules, measures, and governance views
• Interpreting issue pages, traceability, and remediation advice
• Options for report generation and export

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 required test data and coverage reports for precise analysis

5. Integration with Azure DevOps

• Setting up SonarQube service connections within Azure DevOps
• Incorporating SonarQube tasks into Azure Pipelines and enabling PR decoration
• Importing Azure Repos into SonarQube and automating analysis runs

6. Project Configuration and Third-Party Analyzers

• Project-level Quality Profiles and rule selection for Java and Angular
• Working with third-party analyzers and managing the plugin lifecycle
• Defining analysis parameters and parameter inheritance

7. Roles, Responsibilities, and Secure Development Methodology Review

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

8. Advanced: Adding Rules, Tuning, and Enhancing Global Security Features

• Using the SonarQube Web API to add and manage custom rules
• Adjusting Quality Gates and enforcing automated policies
• Hardening SonarQube server security and following access control best practices

9. Hands-on Lab Sessions (Practical Application)

• Lab A: Configure SonarScanner for five Java repositories (using Quarkus where applicable) and analyze the results
• Lab B: Configure Sonar analysis for one Angular front-end project 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 generating test data and measuring coverage
• Resolving common 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
• Scaling SonarQube in enterprise environments: a roadmap

Summary and Next Steps