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Splunk 7 Essentials, Third Edition

Splunk 7 Essentials, Third Edition

By : J-P Contreras, Steven Koelpin, Erickson Delgado, Betsy Page Sigman
4 (10)
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Splunk 7 Essentials, Third Edition

Splunk 7 Essentials, Third Edition

4 (10)
By: J-P Contreras, Steven Koelpin, Erickson Delgado, Betsy Page Sigman

Overview of this book

Splunk is a search, reporting, and analytics software platform for machine data, which has an ever-growing market adoption rate. More organizations than ever are adopting Splunk to make informed decisions in areas such as IT operations, information security, and the Internet of Things. The first two chapters of the book will get you started with a simple Splunk installation and set up of a sample machine data generator, called Eventgen. After this, you will learn to create various reports, dashboards, and alerts. You will also explore Splunk's Pivot functionality to model data for business users. You will then have the opportunity to test-drive Splunk's powerful HTTP Event Collector. After covering the core Splunk functionality, you'll be provided with some real-world best practices for using Splunk, and information on how to build upon what you've learned in this book. Throughout the book, there will be additional comments and best practice recommendations from a member of the SplunkTrust Community, called "Tips from the Fez".
Table of Contents (10 chapters)
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Summary indexing

In a matter of days, Splunk will accumulate data and start to move events through the bucketing process. With the millions or billions of events that are typical with a robust Splunk implementation, you can start to understand how searches run over long-time horizons can slow down.

There are two ways to circumvent this problem. In addition to search acceleration, completed earlier in this chapter, faster search results on large amounts of data can be achieved through summary indexing.

With summary indexing, you run a scheduled search and output the results into a different index, often called summary. The result will only show the computed statistics of the search. This results in a very small subset of data that will be much faster to retrieve and report on than going through a large set of detailed event records and summarizing results on the fly. This concept...

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