For an administrative dashboard designed to monitor overall Tableau Server health, which key metric should be prominently featured?

The average load time of dashboards and views is a direct and critical measure of user-perceived performance, which is a cornerstone of overall Tableau Server health. This metric provides immediate insight into the server's ability to perform its primary function: delivering analytics to users efficiently. Slow load times are a primary symptom of potential issues such as hardware bottlenecks, inefficient workbook design, or server configuration problems. Prominently featuring this metric on an administrative dashboard allows for proactive identification and resolution of issues that directly impact the entire user base and their experience with the platform.

A. The total number of views created by users each day: This is a content adoption or user engagement metric, not a direct indicator of server health or performance.

C. The frequency of user logins and logouts on the server: This is a user activity metric. High or low login frequency does not inherently signify a healthy or unhealthy server.

D. The number of extract refresh failures occurring on the server: While a critical metric for data freshness and backgrounder health, it represents a specific subsystem's performance rather than the overall interactive user experience captured by load times.

1. Tableau Server Documentation

"Administrative Views": The official documentation details the built-in "Performance of Views" administrative view. It states

"Use the Performance of Views administrative view to identify which views are taking a long time to load... Slow load times can be caused by a number of factors

including the complexity of the workbook... and load on the server." This highlights view load time as a primary metric for performance monitoring.

Source: Tableau Help

"Performance of Views"

in the section on Administrative Views.

2. Tableau Server Documentation

"Monitor Server Performance": This section outlines best practices for monitoring. It emphasizes tracking response times as a key indicator of a healthy system. It suggests

"To understand the user experience

measure the time it takes to render views. This is the single best indicator of server performance from a user's perspective."

Source: Tableau Help

"Performance Monitoring"

in the section on Tableau Server Management.

3. Patterson

D. A.

& Hennessy

J. L. (2017). Computer Organization and Design RISC-V Edition: The Hardware Software Interface. Morgan Kaufmann. In the context of server performance

response time (or latency) is cited as a fundamental measure. "The most important measure of performance is time... For a service

we are usually interested in response time—the time between a user's request and the system's response."

Source: Chapter 1

Section 1.6

"Performance". This foundational computer science principle directly applies to the performance of an analytics server like Tableau.