Case Study: Cerner accelerates mean time to knowledge with Elastic Stack

Cerner cuts incident search time from hours to minutes with Elastic

Cerner, a major healthcare information technology company, faced the challenge of monitoring its vast global infrastructure supporting critical health applications. With billions of syslogs daily and rampant alerts, their team struggled to find root causes, impacting their ability to ensure constant system availability. They turned to the Elastic Stack from vendor Elastic to gain real-time insight and reduce their "mean time to knowledge."

By implementing the Elastic Stack, including Elasticsearch and Kibana, Cerner gained a single pane of glass for infrastructure monitoring. Elastic's solution enabled real-time correlation of alerts, machine learning for anomaly detection, and client-specific visualizations. This dramatically reduced incident investigation from hours to minutes, decreased overall incidents despite data growth, and empowered engineers to shift from reactive firefighting to proactive and strategic work, directly improving client satisfaction and system uptime.

Cerner