GitHub has launched a new feature called Analytics for GitHub Actions that gives developers better visibility into job performance. This tool helps track job duration, success and failure rates, and resource utilization over time. With it, you can see which jobs take the longest, utilize the most CPU, and whether performance is improving or declining. Key features include performance trends, job breakdowns, smart filtering by repository or job, and actionable recommendations for optimizing build performance. The summary section of the analytics page provides essential metrics like average job duration, failure rates, total minutes consumed, and estimated cost savings compared to GitHub-hosted runners. Developers can filter data by timeframes and specific jobs to get a clear picture of performance. The job duration trends feature allows users to monitor changes over time and identify any regressions. For instance, one team discovered that a recent dependency upgrade significantly improved job performance. Job failure rates can now be tracked to identify reliability issues, while performance metrics offer insights into CPU and memory usage. By analyzing this data, developers can determine if they need to upgrade their runners or adjust job configurations to optimize resource use. The insights page provides tailored recommendations to help manage resources effectively, ensuring jobs are neither overburdening their runners nor wasting resources.