In this session, we will review the architecture, usage, lessons learned and recommended best practices working with Elastic technology. Open source products like the Elastic Stack and other open source technologies such as Kafka, Apache Spark and Hadoop Distributed File System are now at the heart of many solutions that organizations, including CA Technologies, are using to provide visibility and actionable insights for massive amounts of data. At CA, we have created a highly performant, scalable, real-time data ingestion and processing analytics platform. This analytics platform, CA Jarvis, is based on open source technologies and supports multiple CA solutions, including CA App Experience Analytics, CA Application Performance Management and CA Infrastructure Management 2.0. These CA solutions collect large amounts of application trace data, infrastructure metrics, log files, session navigation details and other user experience data. With this data in a unified data lake and the analytics power of CA Jarvis, CA can provide customers with a holistic view of the true customer experience and insights on how to continually provide improvements.