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Implementing Splunk 7, Third Edition

Implementing Splunk 7, Third Edition - Third Edition

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Implementing Splunk 7, Third Edition

Implementing Splunk 7, Third Edition

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Overview of this book

Splunk is the leading platform that fosters an efficient methodology and delivers ways to search, monitor, and analyze growing amounts of big data. This book will allow you to implement new services and utilize them to quickly and efficiently process machine-generated big data. We introduce you to all the new features, improvements, and offerings of Splunk 7. We cover the new modules of Splunk: Splunk Cloud and the Machine Learning Toolkit to ease data usage. Furthermore, you will learn to use search terms effectively with Boolean and grouping operators. You will learn not only how to modify your search to make your searches fast but also how to use wildcards efficiently. Later you will learn how to use stats to aggregate values, a chart to turn data, and a time chart to show values over time; you'll also work with fields and chart enhancements and learn how to create a data model with faster data model acceleration. Once this is done, you will learn about XML Dashboards, working with apps, building advanced dashboards, configuring and extending Splunk, advanced deployments, and more. Finally, we teach you how to use the Machine Learning Toolkit and best practices and tips to help you implement Splunk services effectively and efficiently. By the end of this book, you will have learned about the Splunk software as a whole and implemented Splunk services in your tasks at projects
Table of Contents (15 chapters)
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Using top to show common field values

A very common question that may often arise is: "Which values are the most common?" When looking for errors, you are probably interested in figuring out what piece of code has the most errors. The top command provides a very simple way to answer this question.

Let's step through a few examples.

First, run a search for errors:

sourcetype="tm1" error

The preceding example searches for the word error in all source types starting with the character string "tm1*" (with the asterisk being the wildcard character).

In my data, it finds events containing the word error, a sample of which is listed in the following screenshot:

Since I happen to know that the data I am searching is made up of application log files generated throughout the year, it might be interesting to see the month that had the most errors logged...

Visually different images
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