Cerner Corp., a prominent healthcare IT provider, utilizes Elastic machine learning to enhance its infrastructure's health by managing and analyzing the massive volumes of data it processes daily. The company, which earns $5.7 billion annually and operates in 30 countries, aims to empower communities through informed healthcare decisions. Faced with challenges of data quality and scalability, Cerner adopted Elasticsearch as a logging solution, which significantly improved their ability to monitor network storage and virtualization services. The integration of Elastic's technology enables Cerner to manage two data feeds that help detect and respond to performance violations more effectively, reducing their mean time to knowledge (MTTK) by 75%. This approach allows engineers to address anomalies and potential issues proactively, ensuring minimal impact on customer experience. Cerner's strategy involves utilizing Logstash, Elasticsearch, and a custom network crawler to maintain a robust observability platform, as detailed in a presentation featuring Elastic's product managers.