Shifting from Contributing- to Outcome-based Analytics

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In the video presentation below from the recent The 2020 AWS Analytics Summit conference, Dan Woicke, Cerner Corporation, discusses how his company uses Vertica to store petabytes of operational data, which is then used for in-depth analysis and trending of the health of client systems.

Just over two years ago, Cerner reinvested in the way operational data is used. The goal was to move away from the traditional methods of monitoring, which concentrated on “contributing” parameters, such as CPU, Memory, Disk I/O, etc. The shift was to monitor “outcome” parameters, which better told the story of a user’s experience. Examples of outcome parameters are application crashes, application hangs, network latency lag and Cerner’s RTMS records. RTMS, or Response Time Measurement System, produces records that measure key work flows within Cerner’s solutions. Today, over 2.5 billion RTMS timers are collected every day.

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