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This allows teams to use SonarQube in their existing development workflow and take advantage of its powerful code analysis capabilities. Integrating with other tools: SonarQube can be integrated with a wide range of development tools and programming languages, such as Git, Maven, and Java.This makes it easy for developers to understand and address issues in the code. Providing actionable insights: SonarQube provides detailed information about issues in the code, including the file and line number where the issue occurs and the severity of the issue.This can help teams understand the quality of their code and identify areas that need improvement.
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If it has good computing power, even with large code bases, it shouldn't take more than a couple hours to scan. To do this, use Jenkins to make API calls to spin up the scanning machine image just before you start the scan. Secondly, then spin up another very strong image, which will only be active during scans.
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One is a medium-light strength image, which will hold Fortify portal and reporting. I suggest the following.Īssuming you have access to AWS or Azure, spin up two images. And if you code base is sizeable, you'll need a strong machine to cut through it quickly. With Fortify, it's a resource intensive tool by nature. As others have mentioned, Fortify and most scan tools don't just scan the delta of files changed.
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