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Mastering Splunk

You're reading from   Mastering Splunk Optimize your machine-generated data effectively by developing advanced analytics with Splunk

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781782173830
Length 344 pages
Edition 1st Edition
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Table of Contents (13) Chapters Close

Preface 1. The Application of Splunk FREE CHAPTER 2. Advanced Searching 3. Mastering Tables, Charts, and Fields 4. Lookups 5. Progressive Dashboards 6. Indexes and Indexing 7. Evolving your Apps 8. Monitoring and Alerting 9. Transactional Splunk 10. Splunk – Meet the Enterprise A. Quick Start 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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