Visibility and measurement for software delivery

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Give teams and AI agents a shared view of software delivery. Built-in metrics and dashboards show where work slows down, so you can improve speed with control.
Spot bottlenecks and trends without another analytics tool.
Benchmark delivery performance across teams and agents.
Measure speed, quality, and cost across the SDLC.
Focus remediation on at-risk projects.
Track frameworks and standards in one place.
Clear bottlenecks across ops, environments, and CI/CD.
See effects on cycle time and deployment frequency.
Evaluate return on AI investments over time.
Predict productivity metrics to plan ahead.
Tech Lead and Engineering Manager, CERN
Built-in dashboards and analytics gives teams and agents shared metrics, without adding another tool.
See how teams across your organization are collaborating on GitLab and measure DevOps efficiency.
Monitoring and visualization of DORA metrics empower teams to make data-driven decisions and improve DevOps performance.
Track key metrics throughout the software development lifecycle, assess the impact of process improvements, and drill down into roadblocks. Compare best practices across teams to improve workflow and deliver customer value faster.
Easily manage and deploy websites using any static site generator with GitLab.
A built-in wiki in each project makes it easy to share and manage documentation in the same project as your code.
Manage complex initiatives using epics, boards, roadmaps, milestones, and more within the platform where your teams create software.
A wide range of flexible planning features allow you to plan, organize, and track team progress in the platform where you create software.
Helps populate an issue more quickly by generating a more in-depth description based on a short summary you provide.
Assists with getting everyone up to speed on lengthy conversations to help ensure you are all on the same page.
Empower teams with service desk capabilities and integrated issue tracking within the DevSecOps workflow to enable a seamless and efficient feedback loop.
Efficiently manage, rotate, and track on-call responsibilities, define escalation policies, and take advantage of different notifications and paging options.
Streamline incident management and simplify resolution tracking in GitLab. Define error budgets, service level objectives (SLOs) and effortlessly manage alerts from multiple sources.
Error Tracking allows developers to discover and view errors generated by their application. Because error information is surfaced where the code is developed, this increases efficiency and awareness.
GitLab provides different types of analytics insights at the instance, group, and project level.
Assists you with predicting productivity metrics and identifying anomalies across your software development lifecycle.
Processes and responds to your questions about your application's usage data.
Collect and visualize application performance and health metrics in GitLab.
Tracing provides insight into the performance and health of a deployed application, tracking each function or microservice which handles a given request. This makes it easy to understand the end-to-end flow of a request, regardless of whether you are using a monolithic or distributed system.
Centralize application and infrastructure logs collection, storage and analysis in GitLab.
Ready to give leaders and agents the same view of DORA, value streams, and pipeline health?
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