Jenkins is an open source automation server. Jenkins provides hundreds of plugins to support building, deploying and automating any project. As an extensible automation server, Jenkins can be used as a simple CI server or turned into a continuous delivery hub for any project.
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SonarQube
Score 8.6 out of 10
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SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Jenkins and GitLab are not exact alternatives for SonarQube, however, they do provide functionality for running and executing build pipelines for various languages and generating reports. However, they are not extensible, have no integration with IDEs and not suitable for …
SonarQube identifies significant more thing compared to the built-in suggestions in IntelliJ IDEA. The suggestions how to correct issues are also a lot better with SonarQube. IntelliJ IDEA provides great refactoring support to make it easy to refactor the code to solve issues. …
I have used GitHub more that fortify so I am more familiar with GitHub for checking for vulnerabilities. I have noticed GitHub is good for checking different packages within your project but as far as checking code Quality and coverage Sonar is the better one in my opinion. …
It is really good when used along with Agile development. It can help control the dev/QA/staging environments and test the application easily without the code getting into a production environment. At the same time, if you only have small tasks, setting up Jenkins is a heavy task and too over-engineered. The user experience for simple tasks is not that great.
SonarQube is excellent if you start using it at the beginning when developing a new system, in this situation you will be able to fix things before they become spread and expensive to correct. It’s a bit less suitable to use on existing code with bad design as it’s usually too expensive to fix everything and only allows you to ensure the situation doesn’t get worse.
Detecting bugs and vulnerabilities: SonarQube can identify a wide range of bugs and vulnerabilities in code, such as null pointer exceptions, SQL injection, and cross-site scripting (XSS) attacks. It uses static analysis to analyze the code and identify potential issues, and it can also integrate with dynamic analysis tools to provide even more detailed analysis.
Measuring code quality: SonarQube can measure a wide range of code quality metrics, such as cyclomatic complexity, duplicated code, and code coverage. This can help teams understand the quality of their code and identify areas that need improvement.
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 makes it easy for developers to understand and address issues in the code.
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 allows teams to use SonarQube in their existing development workflow and take advantage of its powerful code analysis capabilities.
Managing technical debt: SonarQube provides metrics and insights on the technical debt on the codebase, enabling teams to better prioritize issues to improve the quality of the code.
Compliance with coding standards: SonarQube can check the code against industry standards like OWASP, CWE and more, making sure the code is compliant with security and coding standards.
User Interface: The Jenkins user interface can be complex and overwhelming for new users. Improving the user experience and making it more intuitive would help streamline the onboarding process and enhance usability for both beginners and experienced users.
Configuration Management: Managing and configuring Jenkins can be challenging, especially when dealing with large and complex projects. Simplifying the configuration process and providing more user-friendly options for managing pipelines and jobs would be beneficial.
Scalability: As projects grow and the number of builds and jobs increases, Jenkins can experience performance issues and scalability challenges. Optimizing Jenkins for larger-scale deployments and providing better support for distributed builds and parallelization would help address these limitations.
Importing a new custom quality profile on SonarQube is a bit tricky, it can be made easier
Every second time when we want to rerun the server, we have to restart the whole system, otherwise, the server stops and closes automatically
When we generate a new report a second time and try to access the report, it shows details of the old report only and takes a lot of time to get updated with the details of the new and fresh report generated
No, when we integrated this with GitHub, it becomes more easy and smart to manage and control our workforce. Our distributed workforce is now streamlined to a single bucket. All of our codes and production outputs are now automatically synced with all the workers. There are many cases when our in-house team makes changes in the release, our remote workers make another release with other environment variables. So it is better to get all of the work in control.
There is a large development community - but it is shifting as people move towards other tools. A lot of companies still use Jenkins and will build propriety tools, which doesn't help any of the open-source community. Jenkins has a lot of help and support online, but other, more modern, alternatives will have better support for newer tech.
We we easily able to integrate the SonarQube steps into our TFS process via the Microsoft Marektplace, we didn't have the need to call SonarQube support. We've used their online documentation and community forum if we ran into any issues.
Overall, Jenkins is the easiest platform for someone who has no experience to come in and use effectively. We can get a junior engineer into Jenkins, give them access, and point them in the right direction with minimal hand-holding. The competing products I have used (TravisCI/GitLab/Azure) provide other options but can obfuscate the process due to the lack of straightforward simplicity. In other areas (capability, power, customization), Jenkins keeps up with the competition and, in some areas, like customization, exceeds others.
SonarQube is an open-source. It's a scalable product. The costs for this application, for the kind of job it does, are pretty descent. Pipeline scan is more secured in SonarQube. Its a very good tool and its support multiple languages. Its main core competency is of static code analysis and that is why SonarQube exists and it does it exceedingly well. The quality of scan on code convention, best practices, coding standards, unit test coverage etc makes them one of the best competent tool in the market
We run about 30 test projects through Jenkins every day, multiple times a day; this allows us to focus on new tests rather than manually running all these tests.
We rely heavily on reporting capabilities and email notifications; we have some jobs that send emails every time they run so we know if there is an issue with any of our services.
