Case Study: Gurunavi speeds log analysis and troubleshooting with Elastic

Gurunavi, Inc. speeds log searches from over 1 hour to seconds with Elastic

Gurunavi, Inc., a long-established Japanese restaurant information and service provider, faced significant challenges in managing and analyzing massive volumes of log data from its large-scale ICT environment. Troubleshooting system issues was a slow, manual process that could take over an hour per incident, leading to delays and errors. To achieve high-speed searches and real-time analysis across its growing data, the company adopted Elastic's solutions, primarily using the Elastic Stack including Elasticsearch and Kibana.

Elastic implemented a comprehensive solution combining on-premise Elastic Stack with Elastic Cloud's Elasticsearch Service on AWS, enabling cross-sectional monitoring of logs from all applications and network devices. This reduced troubleshooting from hours to seconds and eliminated the heavy operational burden of manual upgrades. The solution also unlocked strategic data use, such as analyzing geographic visitor data for business campaigns. Gurunavi now efficiently manages a total data volume of 50 billion documents, accelerating operations and enabling data-driven business strategies.

Gurunavi, Inc