Delivery observability and analytics: metrics, logs, traces, error monitoring, as well as workflow analytics and DevOps metrics to improve release velocity and quality.
GitLab Observability helps teams see how their application behaves in real environments: track errors, analyze performance, and respond to incidents faster. The goal is to reduce “context switching” when development and operations use different tools and lose track of the connection between code changes and system behavior in production.
Observability includes a unified view of key signals: metrics, logs, and distributed traces. This simplifies diagnostics: you can find bottlenecks faster, understand the root cause of degradation, and link the problem to specific releases or changes.
Analytics complements the picture with process metrics: how quickly work moves from idea to delivery, where delays occur, and how stable the release of changes is. Value Stream Analytics measures, for example, lead time and cycle time, while DORA metrics help evaluate delivery efficiency (speed and stability). In conjunction with GitLab CI/CD and Project & Portfolio Management, this provides a unified “planning → development → delivery → monitoring → improvement” cycle.
