Datadog engineers created an MTA Service Tracker dashboard to provide insight into New York's subway system, and a similar MBTA version was built for the local transit system in Boston. To access the data, they wrote an AWS Lambda function that pulls real-time vehicle and station information from the MBTA's GTFS feed into Datadog. The function pairs raw wait time data with route and vehicle metadata as meaningful tags, sends it to Datadog, and creates events based on MBTA service alerts. A dashboard was designed to visualize this data, including the next scheduled trains for six stops near the office, average wait times, and total vehicles across the system for each line. The MBTA provides performance data via a separate API, which can be used with Datadog to create custom SLI indicators. The Lambda function is publicly available on GitHub, allowing users to use it and create their own custom dashboards based on their interests.