Case Study: Eventbrite achieves faster root cause identification with Traversal’s AI SRE

A Traversal Case Study

Preview of the Eventbrite Case Study

Eventbrite Turns to Traversal’s AI SRE to Overcome Complexity of Legacy Systems

Eventbrite, a global leader in event management and ticketing, faced significant challenges in managing its complex hybrid infrastructure, which blended a legacy PySOA monolith with newer microservices. This complexity resulted in time-consuming incident diagnosis, visibility gaps, and a steep learning curve for engineers. To overcome this, they partnered with Traversal to implement its AI SRE platform.

Traversal’s solution leveraged AI and machine learning to build a comprehensive knowledge graph of Eventbrite's systems, enabling rapid and accurate root cause analysis. This resulted in a 90% reduction in root cause identification time, an estimated annual saving of $740,000 from eliminated downtime, and the forecasted recovery of 2,400 hours of engineering time per year.


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Eventbrite

Luca Valtulina

Staff SRE


Traversal

3 Case Studies