GitLab, the web-based Git repository manager that provides both version control and continuous integration and deployment, recently released its latest version, GitLab 16.0. This release brings about some significant improvements to the platform, including the launch of Value Streams and upgrades to GitLab's AI-powered, Auto DevOps.
The idea behind Value Streams was born out of a need to better understand how teams collaborate and how projects move through different stages of the development process. With Value Streams, project managers can see the entire flow of a project, from idea to production, in a single, unified view. This allows for better collaboration and clearer understanding of where bottlenecks and inefficiencies may be occurring.
By visualizing each stage of the development process and the dependencies between those stages, project managers can see exactly how long it takes for a project to move from one stage to the next, where there may be delays or inefficiencies, and where changes could be made to improve the overall process.
For example, let's say a project has four stages: planning, development, testing, and deployment. With Value Streams, project managers can see how long each stage takes, where the bottlenecks are occurring, and how long it takes for the project to move from one stage to the next. They can then make changes to streamline the process, such as improving the testing process or automating certain tasks.
Auto DevOps is GitLab's AI-powered tool that automates certain tasks, such as testing and deploying code changes, to make the development process more efficient. With the latest release of GitLab, Auto DevOps now includes several new features, including:
These new features make it even easier for developers to manage complex cloud-native applications and to deploy code changes with confidence.
For example, let's say a developer has made changes to the code that need to be tested and deployed. With Auto DevOps, the developer can simply push the changes to the GitLab repository and Auto DevOps will automatically run tests, perform code quality checks, and deploy the changes to the appropriate environment. This eliminates the need for manual testing and deployment, saving time and reducing the risk of errors.
Overall, GitLab 16.0 brings about some significant improvements to the platform that make it even easier for teams to collaborate, streamline their development processes, and deploy code changes with confidence. The Value Streams feature provides unprecedented visibility into the development process, while Auto DevOps helps to automate repetitive tasks and reduce the risk of errors.
Here are three key benefits of GitLab 16.0:
By leveraging these new features, teams can work more efficiently, reduce the risk of errors, and ultimately deliver high-quality software products more quickly and reliably.
Technology
Curated by Team Akash.Mittal.Blog
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