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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
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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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Searching within an index

Always remember to filter your searches by index. Not restricting your search to a specific index makes Splunk go through all available indexes, consuming unnecessary time and resources. The same can be said about filters for sourcetype if your searches only need to consider a specific set of data that resides in an index with many sourcetypes.

A normal question arises when designing your Splunk implementation about how many indexes to have and what data goes into each. Careful thought needs to be taken when planning for indexes and when you create a new index.

For example, all web server logs for the same software application can be placed in one index. You may then split the log types by sourcetype but keep them within the same index. This will give you a generally favorable search speed even if you have to search between two different source types...

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