Scaling Work-Based Learning with a Cloud Data Platform

This case study outlines the implementation of ChaosSearch's cloud data platform at Revinate, a leader in guest data management. The document details the challenges faced by Revinate, including rising costs and stability issues with their existing ELK stack, which required constant management and reindexing. Revinate sought a solution that would be cheaper and easier to manage while maintaining user familiarity with the Kibana interface. The case study presents ChaosSearch as a viable alternative, highlighting its ability to integrate directly with Revinate's Amazon S3 environment without requiring new agents or extensive retraining. Key results from the implementation include significant cost savings, increased engineering productivity, and a reliable platform that eliminated outages associated with the old ELK stack. The document emphasizes the ease of adoption and the positive impact on Revinate's operational efficiency, allowing the team to focus on product differentiation and improvement.