
Learn to integrate SonarCloud with AWS, Azure, GCP, and other platforms, populate unit test coverage, and define quality gates in Azure DevOps, GitLab, and AWS pipelines.
Explore SonarCloud, a software as a service that keeps code free of quality and security issues, with default 80% code coverage gates, custom gates, and API integration.
Create a SonarCloud account by signing in with GitHub, authorize access, and land on the SonarQube dashboard to see existing projects as you begin adding your own.
Integrate SonarCloud with Azure DevOps DevSecOps pipeline to run static application security testing using mvn verify, package, and sonar:sonar, configuring host URL, organization, project key, and login token.
Implement quality gates in sonar cloud within azure devops devsecops pipelines, using a custom quality gate with 90% unit test coverage and a yaml pipeline to enforce it.
Implement quality gates in a DevSecOps pipeline using SonarCloud and Azure DevOps to enforce coverage thresholds and fail builds when gates are not met.
Move security tokens from Azure pipeline yaml to secure pipeline variables by creating a variable group for secure_tokens, defining sonar_token, and referencing it with the dollar bracket syntax.
Integrate SonarCloud within a GitLab devsecops pipeline to run static application security testing (sast) using Maven and OpenJDK, configuring host URL, organization, project key, and token.
Learn to create a custom quality gate in sonar cloud and integrate it into your devsecops pipeline to fail builds on security vulnerabilities or code coverage below 90%.
Implement quality gates in a DevSecOps pipeline with SonarCloud and GitLab CI, monitor build outcomes via the REST API and code coverage.
Populate unit test code coverage on the SonarCloud dashboard by placing tests in the test folder and configuring junit and jacoco plugins in pom.xml with the jacoco report execution.
Integrate sonar cloud into an AWS codecommit project by creating a buildspec.yml to run mvn verify and sonar analysis, configuring project key, organization, and token for secure scanning.
Create a SonarCloud account, establish an organization and a project, generate a security token, and update buildspec.yml with the token, project key, and organization name.
Create an AWS CodeBuild project to pull code from CodeCommit, build with buildspec.yml, and run a SonarCloud SAST analysis to reveal code smells and coverage insights.
Populate code coverage on sonar cloud by configuring jacoco maven plugin and junit in pom.xml, running mvn verify to generate xml reports, and view the 29.2% coverage on the dashboard.
Move the sonar token from buildspec.yml to AWS Secrets Manager as first secret, then update buildspec.yml to read it, grant CodeBuild access, and run the SonarCloud analysis.
Learn to create an organization and a project in SonarCloud for GCP, set an organization key and a project key, and prepare a cloudbuild.yaml integration with the GCP repo.
Discover prerequisites to integrate SonarCloud with a GCP pipeline, including host URL, organization, project key, and login token, and learn to generate and store the token for cloudbuild.yaml.
Explore how to integrate SonarCloud with GCP using a cloudbuild.yaml, running mvn verify and sonar analysis with host url, organization, project key, and login token.
Push SonarCloud integration code to a GCP repo, run a Cloud Build pipeline, and execute SAST analysis in SonarCloud, delivering DevSecOps insights.
Review SonarCloud SAST results on the dashboard, examine code smells and security hotspots from the latest project analysis, and perform false positive analysis with the dev team.
Move security tokens from cloudbuild.yaml to GCP Cloud Build substitution variables in build triggers, securing the sonar token and removing credentials from source files.
Enable code coverage on SonarCloud by updating pom.xml with JUnit plugin and Jacoco report, and adding JUnit tests for the calculator class to generate an XML coverage report.
Push code changes to the GCP repo with git, verify the build, and import unit test coverage into SonarCloud to review quality gate, hotspots, and correlation.
Explore how to use IntelliJ with SonarLint and Snyk plugins to identify code quality and security issues early, embracing a shift-left devsecops approach.
Run a SonarQube Docker container to scan a codebase for bugs and security vulnerabilities using Java 11 and Maven. Learn Docker setup, token generation, and viewing results in SonarQube.
Configure maven in Jenkins by adding a maven installation, linking the EC2 maven home, and using version 3.5.2 for the devsecops Java project before integrating SonarCloud.
Learn to integrate SonarCloud in a Jenkins-based devsecops pipeline, configure Maven sonar analysis, and review security findings and code quality metrics in SonarCloud.
Course Updates:
v 1.0 - Jan 2024
Updated GitHub repos with Java 17 for all cloud platforms
Added Assignments to the course
Who shall take this course?
This "SonarCloud with AWS, Azure, GCP & More" course is designed for Developers, DevOps Engineers, Security Engineers, DevOps Engineers, SRE, QA Professionals interested to learn about maintaining code quality standards using automated tools. This is a focused SonarCloud course with a special focus on integrating it with different Cloud and DevOps platforms in Build pipeline.
Learn and implement security in DevOps pipeline, get Hands On experience in using Security tools & technologies.
This course is for:
Developers
DevOps
DevSecOps
Security Engineers
Aspiring professional in the Security domain
Quality Assurance Engineers
InfoSec/AppSec Professional
Why purchase this course?
Learning SonarCloud integration with cloud platforms offers several benefits:
Code Quality and Security: SonarCloud is a powerful code analysis and security platform that helps developers identify bugs, vulnerabilities, and maintain code quality. By integrating it with cloud platforms, you can continuously monitor and analyze your codebase, ensuring that any issues are detected early in the development lifecycle. This helps in producing robust, secure, and high-quality software.
Continuous Integration and Deployment: Cloud platforms, such as AWS, Azure, and Google Cloud, offer robust CI/CD (Continuous Integration/Continuous Deployment) capabilities. By integrating SonarCloud into your CI/CD pipeline, you can automate code analysis and quality checks as part of the deployment process. This ensures that only well-tested and quality code gets deployed, reducing the risk of introducing bugs or vulnerabilities into the production environment.
Scalability and Flexibility: Cloud platforms provide scalable infrastructure and resources, enabling you to handle varying workloads and scale your applications as needed. Integrating SonarCloud with cloud platforms allows you to seamlessly analyze code across different projects and repositories, regardless of their size or complexity. This scalability and flexibility help maintain code quality and security as your projects grow.
Collaboration and Visibility: Cloud platforms offer collaboration features, such as shared repositories, pull requests, and issue tracking, which facilitate teamwork and code review processes. By integrating SonarCloud, you can add code quality and security checks to these collaboration workflows. This ensures that every code contribution goes through proper analysis and review, enhancing collaboration, and maintaining a high standard of code quality across your team or organization.
Industry Standards and Compliance: Many industries have specific standards and compliance requirements for software development. SonarCloud provides rule sets and checks for various coding standards, best practices, and industry-specific guidelines. By integrating SonarCloud with cloud platforms, you can enforce these standards and automatically check your code for compliance. This helps ensure that your applications adhere to regulatory requirements and industry guidelines.
Overall, learning SonarCloud integration with cloud platforms empowers developers and teams to build better software by continuously monitoring code quality, improving security, automating analysis in CI/CD pipelines, facilitating collaboration, and ensuring compliance with industry standards.
Prerequisites or Things you should know before taking this course:
1) Account creation in cloud
2) Installation of Basic development tools such as Git, Visual Studio Code
3) Cloud basic functions such as repository creation, code push in cloud
Disclaimer:
1) This is an Intermediate to Advanced level course
2) English subtitles are auto-generated so please ignore any grammar mistakes