What type of data can summary indexing be applied to?

Summary indexing can be applied to any indexed data set within Splunk. This feature is designed to enhance performance and efficiency by allowing users to create and maintain a smaller, more manageable subset of their data, which contains the essential information extracted from larger datasets.

By using summary indexing, you can aggregate data from various sources, regardless of whether it is real-time streaming data, historical log files, or any other type of indexed information. This capability is particularly useful for reports, dashboards, and alerts where aggregated data provides meaningful insight without the overhead of processing extensive raw data each time.

This flexibility makes summary indexing an effective tool for optimizing searches and improving the performance of Splunk environments as it allows users to focus on the most relevant data, leading to quicker response times and reduced resource consumption.