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Duration 21 hours
Course Outline
1. Foundations 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: Key Features and Architecture
- Core services, database structure, and scanner components
- Best practices for Quality Gates, Quality Profiles, and related configurations
- Security-centric features: vulnerability detection, SAST rules, and CWE mapping
3. Navigating and Utilizing the SonarQube Server Interface
- Overview of the server UI: projects, issues, rules, measures, and governance views
- Interpreting issue pages, traceability details, and remediation guidance
- Options for generating and exporting reports
4. Configuring SonarScanner with Build Tools
- Setting up SonarScanner for Maven, Gradle, Ant, and MSBuild
- Best practices regarding scanner properties, exclusions, and multi-module projects
- Generating essential test data and coverage reports to ensure accurate analysis
5. Integration with Azure DevOps
- Establishing SonarQube service connections within Azure DevOps
- Incorporating SonarQube tasks into Azure Pipelines and enabling PR decoration
- Importing Azure Repos into SonarQube and automating analysis processes
6. Project Configuration and Third-Party Analyzers
- Selecting project-level Quality Profiles and rules for Java and Angular
- Managing third-party analyzers and understanding the plugin lifecycle
- Defining analysis parameters and handling parameter inheritance
7. Roles, Responsibilities, and Review of Secure Development Methodologies
- Segregation of duties among developers, reviewers, DevOps teams, and security owners
- Creating a roles and responsibilities matrix for CI/CD processes
- Reviewing and recommending improvements to existing secure development methodologies
8. Advanced Topics: Adding Rules, Tuning, and Enhancing Global Security Features
- Leveraging the SonarQube Web API to add and manage custom rules
- Refining Quality Gates and enforcing automated policies
- Hardening SonarQube server security and implementing access control best practices
9. Applied Hands-on Lab Sessions
- Lab A: Configure SonarScanner for five Java repositories (using Quarkus where applicable) and analyze results
- Lab B: Set up Sonar analysis for one Angular front-end application and interpret findings
- Lab C: Comprehensive pipeline lab integrating SonarQube with an Azure DevOps pipeline and activating PR decoration
10. Testing, Troubleshooting, and Report Interpretation
- Strategies for generating test data and measuring coverage
- Addressing common issues and troubleshooting scanner, pipeline, and permission errors
- Methods for reading and presenting SonarQube reports to both technical and non-technical stakeholders
11. Best Practices and Strategic Recommendations
- Strategies for rule set selection and incremental enforcement
- Workflow recommendations for developers, reviewers, and build pipelines
- Roadmap for scaling SonarQube in enterprise environments
Summary and Next Steps
Requirements
- A solid understanding of the software development lifecycle
- Experience with source control and fundamental CI/CD concepts
- Familiarity with Java or Angular development environments
Target Audience
- Developers working with Java, Quarkus, or Angular
- DevOps and CI/CD engineers
- Security engineers and application security reviewers
Testimonials (1)
Engaging, and hands on practise.
