Case Study: Leading Profitability Management and Optimization Software Solutions Company achieves scalable, automated log monitoring and outage prediction with Hexaware's Hadoop-based solution

Leading Profitability Management and Optimization Software Solutions Company - Customer Case Study

Leading Profitability Management and Optimization Software Solutions Company, the maker of the Pricing & Revenue Optimization Solution Suite (PSS) used by major airline and hospitality customers, was experiencing frequent errors, warnings and undetected outages, forcing reactive support, long log‑search turnaround times, and rapidly growing log volumes that required a scalable monitoring platform. Hexaware was engaged to address these operational and scalability challenges.

Hexaware implemented a Hadoop‑based log monitoring architecture using Cloudera Distribution (CDH4) with Flume to ingest Task Manager and Tomcat logs into HDFS and Splunk (with the Splunk Hadoop Connect app) for real‑time and analytical reporting. The solution automated detection of errors and warnings, produced user‑friendly charts and alerts for support technicians and customers, enabled predictive outage identification, and proved scalable to large data volumes—resulting in faster issue detection, proactive notifications and reduced time to resolution.