Search parallelization
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.
Pipeline parallelization
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 ...
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