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Mastering Splunk

Mastering Splunk

By : James D. Miller
2.7 (3)
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Mastering Splunk

Mastering Splunk

2.7 (3)
By: James D. Miller

Overview of this book

This book is for those Splunk developers who want to learn advanced strategies to deal with big data from an enterprise architectural perspective. You need to have good working knowledge of Splunk.
Table of Contents (13 chapters)
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12
Index

Indexes, indexers, and clusters


Remember that Splunk indexes are a repository for all the Splunk data. Indexing (part of the Splunk data pipeline) is performed by an indexer.

Indexers create and use indexes. An indexer is simply a Splunk instance configured to only index data. A Splunk instance can perform indexing as well as everything else, but typically in a larger, distributed environment, the functions of data input and search management are allocated to different Splunk instances. In a larger, scaled environment, you will include forwarders and search heads.

Forwarders consume the data, indexers search and index the data, and search heads coordinate searches across the set of indexers.

A cluster is a group of indexers (sometimes referred to as nodes) that copy each other's data (you will find more on this later in this chapter).

There are three types of nodes in a cluster:

  • Master node: The master node is a specialized type of indexer to manage the cluster

  • Peer nodes (multiple): These...

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