Case Study: Transeo achieves scalable log analytics and lower data management costs with ChaosSearch

A ChaosSearch Case Study

Preview of the Transeo Case Study

Fast-growing SaaS Scales Log Analytics While Saving 30% per Month

Transeo, an education-focused mobile platform for students, counselors, and administrators, needed a better way to manage rapidly growing, highly fragmented log data from applications, databases, load balancers, Kubernetes, and Nginx. After exploring Elasticsearch, the team turned to ChaosSearch to make their logs searchable and easier to analyze without the complexity and cost of running traditional clusters.

With ChaosSearch’s indexing platform on Amazon S3, Transeo was able to normalize, index, and query log data without ETL, migrations, or manual spreadsheet work. ChaosSearch helped Transeo create dashboards for both technical and non-technical stakeholders, support 10-year data retention requirements, and reduce storage, query, and analytics costs by about 30% per month while improving product decisions with data.


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Transeo

Jimmy McDermott

Chief Technology Officer


ChaosSearch

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