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Splunk Operational Intelligence Cookbook

Splunk Operational Intelligence Cookbook - Second Edition

By : Josh Diakun, Jose E. Hernandez, Derek Mock, Paul R. Johnson
3.7 (6)
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Splunk Operational Intelligence Cookbook

Splunk Operational Intelligence Cookbook

3.7 (6)
By: Josh Diakun, Jose E. Hernandez, Derek Mock, Paul R. Johnson

Overview of this book

Splunk makes it easy for you to take control of your data, and with Splunk Operational Cookbook, you can be confident that you are taking advantage of the Big Data revolution and driving your business with the cutting edge of operational intelligence and business analytics. With more than 70 recipes that demonstrate all of Splunk’s features, not only will you find quick solutions to common problems, but you’ll also learn a wide range of strategies and uncover new ideas that will make you rethink what operational intelligence means to you and your organization. You’ll discover recipes on data processing, searching and reporting, dashboards, and visualizations to make data shareable, communicable, and most importantly meaningful. You’ll also find step-by-step demonstrations that walk you through building an operational intelligence application containing vital features essential to understanding data and to help you successfully integrate a data-driven way of thinking in your organization. Throughout the book, you’ll dive deeper into Splunk, explore data models and pivots to extend your intelligence capabilities, and perform advanced searching to explore your data in even more sophisticated ways. Splunk is changing the business landscape, so make sure you’re taking advantage of it.
Table of Contents (12 chapters)
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11
Index

Making raw event data readable

When a basic search is executed in Splunk from the search bar, the search results are displayed in a raw event format by default. To many users, this raw event information is not particularly readable, and valuable information is often clouded by other less valuable data within the event. Additionally, if the events span several lines, only a few events can be seen on the screen at any one time.

In this recipe, we will write a Splunk search to demonstrate how we can leverage Splunk commands to make raw event data readable, tabulating events and displaying only the fields we are interested in.

Getting ready

To step through this recipe, you will need a running Splunk Enterprise server, with the sample data loaded from Chapter 1, Play Time – Getting Data In. You should be familiar with the Splunk search bar and search results area.

How to do it…

Follow the given steps to search and tabulate the selected event data:

  1. Log in to your Splunk server.
  2. Select...
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