DORA metrics provide a holistic view of the software development life cycle, offering insights into speed and stability. The four key metrics - deployment frequency, lead time for changes, time to restore services, and change failure rate - bridge the gap between production system-based metrics and development-based ones. To effectively collect and analyze DORA metrics, organizations need to establish a unified process of monitoring, standardize data points, and prioritize insights based on team goals. This can be achieved by defining success criteria for deployments, identifying failures or responses, determining incident start and end times, and selecting appropriate time spans for analysis. By using DORA metrics to identify inefficiencies in CI/CD workflows, teams can adjust their tooling to create more effective processes. Datadog offers a range of tools to help optimize developer workflows based on DORA metrics findings, including performance monitoring, continuous integration, code quality, and incident response features.