Data-driven DevSecOps: Exploring GitLab Insights Dashboards
Blog post from GitLab
GitLab's comprehensive DevSecOps platform offers powerful analytics tools through its Insights Dashboards, enabling users to track and visualize essential metrics that drive productivity and quality. These tools cover various aspects of the DevSecOps lifecycle, including productivity analytics, code review analytics, CI/CD analytics, and value stream analytics, providing insights into team velocity, code quality, pipeline performance, and work flow efficiency. A key feature is the use of labels, which allows users to filter and focus on specific metrics with precision, enabling the creation of custom views for targeted insights. Labels can be applied to issues, merge requests, and epics, akin to tags in cloud deployments, which helps in organizing and categorizing work items flexibly. By setting up a sophisticated labeling system, users can generate custom dashboards and reports, offering a focused view of project health and momentum. Additionally, GitLab Insights can be configured for both projects and groups using a .gitlab/insights.yml file, allowing further customization of data visualization. With the ability to track squad productivity and analyze merge request insights through custom metrics, GitLab empowers teams to identify patterns, compare performance, and make data-driven decisions to optimize their development processes.
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