Case Study: ServisBOT achieves faster debugging and real-time error monitoring with Epsagon

A Epsagon Case Study

Preview of the ServisBot Case Study

Transforming Customer Engagement with Epsagon and AWS

ServisBOT is a conversational AI platform that helps businesses build chatbots and natural language solutions across multiple digital channels. As its cloud-native application grew on AWS, the team faced increasing complexity, spiky traffic, and hard-to-trace performance issues that made it difficult to quickly identify unanswered messages and unknown errors.

To improve observability, ServisBOT implemented Epsagon for tracing, error notifications, and cost monitoring across services like AWS Lambda, SNS, API Gateway, and DynamoDB. With fast setup and Slack alerts, Epsagon helped the team troubleshoot faster, reduce time spent in AWS monitoring tools, and significantly cut debugging time while giving developers greater confidence in the platform.


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ServisBot

John Rellis

Team Leader


Epsagon

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