Which analytics function is needed to achieve this?

A customer has a large population of servers. They want to identify the servers where utilization has increased the most since last week.

Which analytics function is needed to achieve this?
A . Rate
B . Sum transformation
C . Tlmeshift
D . Standard deviation

View Answer

Answer: C

Explanation:

The correct answer is

C. Timeshift.

According to the Splunk Observability Cloud documentation1, timeshift is an analytic function that allows you to compare the current value of a metric with its value at a previous time interval, such as an hour ago or a week ago. You can use the timeshift function to measure the change in a metric over time and identify trends, anomalies, or patterns. For example, to identify the servers where utilization has increased the most since last week, you can use the following SignalFlow code: timeshift(1w, counters(“server.utilization”))

This will return the value of the server.utilization counter metric for each server one week ago. You can then subtract this value from the current value of the same metric to get the difference in utilization. You can also use a chart to visualize the results and sort them by the highest difference in utilization.