A serverless, data-driven Git metrics dashboard using Amazon Quick Sight

Git activity is one of the richest signals engineering teams produce that can provide continuous observability into development analytics. The challenge is extracting these Git metrics at scale, which has traditionally required hand-rolled extract, transform, and load (ETL) jobs, dedicated infrastructure, and ongoing maintenance. Further, with modern development tools becoming more prevalent, teams need a clear way to measure whether these tools are making developers faster, or if the investment is not paying off.