SonarQube for Secure SDLC and Azure DevOps Training Course

1. Principles and Scope of Static Code Analysis

• Definitions: static analysis, SAST, rule categorization, and severity levels
• The role of static analysis in secure SDLC frameworks and risk mitigation coverage
• The integration of SonarQube into security control architectures and developer workflows for government systems

2. SonarQube Overview: Functional Capabilities and Architecture

• Core services, database infrastructure, and scanner components
• Quality Gates, Quality Profiles, and adherence to best practices for compliance
• Security-specific capabilities: vulnerability detection, SAST rules, and CWE alignment

3. Navigation and Utilization of the SonarQube Server Interface

• Interface walkthrough: projects, issues, rules, metrics, and governance dashboards
• Analysis of issue details, traceability pathways, and remediation directives
• Capabilities for report generation and data export

4. SonarScanner Configuration with Build Environments

• Configuration procedures for SonarScanner in Maven, Gradle, Ant, and MSBuild environments
• Operational best practices for scanner properties, exclusion rules, and multi-module project structures
• Procedures for generating requisite test data and coverage reports to ensure analysis accuracy

5. Integration with Azure DevOps

• Establishment of SonarQube service connections within Azure DevOps
• Implementation of SonarQube tasks in Azure Pipelines and pull request decoration
• Ingestion of Azure Repos into SonarQube for automated code analysis workflows

6. Project Configuration and Third-Party Analyzer Management

• Project-specific Quality Profiles and rule selection for Java and Angular ecosystems
• Management of third-party analyzers and their plugin lifecycle
• Definition of analysis parameters and management of parameter inheritance structures

7. Roles, Responsibilities, and Secure Development Methodology Review

• Segregation of duties: developers, reviewers, DevOps personnel, and security officials
• Development of a roles and responsibilities matrix for CI/CD processes
• Evaluation and recommendations regarding existing secure development methodologies

8. Advanced Configuration: Rule Customization, Tuning, and Global Security Enhancements

• Utilization of the SonarQube Web API for the creation and management of custom rules
• Adjustment of Quality Gates and enforcement of automated compliance policies
• Security hardening procedures for the SonarQube server, including access control best practices

9. Applied Hands-on Laboratory Exercises

• Lab A: Configuration of SonarScanner for five Java repositories (including Quarkus) and analysis of results
• Lab B: Configuration of Sonar analysis for one Angular front-end application and interpretation of findings
• Lab C: Comprehensive pipeline exercise: integration of SonarQube with an Azure DevOps pipeline and activation of PR decoration

10. Testing, Troubleshooting, and Report Interpretation

• Strategies for test data generation and coverage measurement protocols
• Resolution of common scanner, pipeline, and permission errors
• Procedures for interpreting and presenting SonarQube reports to technical and non-technical stakeholders

11. Best Practices and Strategic Recommendations

• Selection of rule sets and strategies for incremental policy enforcement
• Operational recommendations for developers, reviewers, and build pipelines
• Strategic roadmap for scaling SonarQube solutions in enterprise government environments

Summary and Next Steps