Case Study: Iralogix saves time detecting incidents and finding root cause with Zebrium

Saving Time by Auto-Detecting Incidents Across a Vast Range of Logs

Iralogix, a financial technology company based in Pittsburgh, PA, provides a SaaS solution for managing IRA holdings in AWS using Amazon ECS. The team had a lot of Java application logs in Amazon CloudWatch and struggled with the manual effort of searching across multiple logs to find anomalies, incidents, and root cause. They turned to Zebrium, which uses machine learning to automatically structure logs and detect anomalies.

Zebrium quickly identified an incident from Iralogix’s QA server logs that helped uncover a potential security hole and speed root-cause analysis. After that success, Iralogix expanded Zebrium from QA into production, where it continues to surface rare events, reduce manual investigation time, and help the team correlate related logs with a click.

Iralogix

Yosef Deray

Lead Software Engineer