What enhances the performance of searches in Splunk?

Creating custom fields and filters significantly enhances the performance of searches in Splunk due to the improved efficiency in how data is accessed and processed. By defining specific fields that are relevant to the searches conducted, Splunk can reduce the amount of data it must scan, thereby decreasing processing time. Filters further refine search results, allowing Splunk to quickly retrieve only the pertinent data needed for a given query. This focused approach minimizes unnecessary resource usage and accelerates response times for user queries.

In contrast, using raw log data typically involves searching through larger and less refined datasets, which can lead to slower search performance. Implementing checksums is more about data integrity than enhancing search performance. Increasing storage limits may allow for more data retention but does not directly influence the efficiency of search operations; performance is more closely linked to data structuring and retrieval methods than to the amount of stored data.