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In this session we’ll take a look at implementation techniques to satisfy a performance monitoring use case, using open source tools to visualize performance metrics exposed by a REST API. Our example will be based on the Zowe API for IDMS, but the techniques are general and can be applied to any product and/or database that exposes performance metrics through a REST API. Administrators for online systems need to monitor operations to see trends and recognize unusual conditions that can indicate problems. A time series database provides a way to collect performance and operational metrics. The time series database can invoke an API that exposes this data at regular intervals and stores the time-sliced data for analysis. Dashboards are a powerful way to visualize the time series data and recognize anomalous events occurring in real time. So a database administrator can use the dashboard and database query tools to monitor and analyze performance.

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