Traverse has extensive and flexible reporting/analysis functionality available for various levels of objects—container, device, test—as well as for different types of data performance. Most reports are generated in real time. Graphs and statistics are created from the raw data. Traverse reports are organized and accessible in four areas, each one serving a specific purpose.
Advanced - These are a set of pre-defined reports that allows users to view and analyze different types of performance data for a user-specified set of devices or containers and some additional context, depending on the report itself. These reports are designed to allow users to quickly perform specify types of operational analysis of the IT infrastructure, and answer some commonly asked questions for specific tests, devices and containers.
Custom - These reports allow users to conduct system-wide or broader analysis of events, thresholds, capacity, future-trending and availability. Users have greater flexibility in selecting the report parameters, and can choose to run more granular reports for specific test, devices and containers if desired.
SLA - These reports are designed for the purpose of historical and deeper analysis of the SLA metrics and measurements configured and monitored in Traverse.
My Reports - Users can create `save off' specific report queries for the first three types of reports, and retrieve and run these in the future. Traverse allows adding individual components from the various pre-defined reports into the same composite report user-specific report. The reporting framework is very flexible and allows completely arbitrary user-defined and statistics generated on an as needed basis.