Case Study: Via achieves infinite scalability and faster troubleshooting with Epsagon

Epsagon saves Via’s engineering teams 90% in application troubleshooting time, improving Via’s business and customer experience

Via is a ride-sharing and public transit platform operating in 50+ cities, sending billions of rider and driver events each month. As its AWS-based, microservices-heavy architecture grew, the team faced severe scaling challenges, serverless complexity, and especially difficulty troubleshooting issues across connected Lambda functions and services.

To improve visibility, Via implemented Epsagon’s observability and tracing for its AWS Lambda environment, using it to map service connectivity, monitor issues through Slack, and jump from alerts to full traces and logs. Epsagon helped Via quickly uncover hidden problems, reduce troubleshooting time by 50%, and save 50 engineers up to half a day per week, while supporting faster innovation and lower cloud costs.

Via

Ynon Cohen

Engineering Team Leader