Once the data is boarded on Splunk, a search is used to create analytics over the indexed data. Here, the faster the search results produced, the more the real-time results will be. Search parallelization is the easiest and most efficient way to speed up transforming searches by adding additional search pipelines on each indexer. This helps in processing of multiple buckets at the same time. Search parallelization can also enable acceleration for a transforming search when saved as a report or report-based dashboard panel.
Underutilized indexers and resources provide us with opportunities to execute multiple search pipelines. Since there is no sharing of states, there exists no dependency across