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Splunk Best Practices

Splunk Best Practices

By : Travis Marlette
4.8 (5)
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Splunk Best Practices

Splunk Best Practices

4.8 (5)
By: Travis Marlette

Overview of this book

This book will give you an edge over others through insights that will help you in day-to-day instances. When you're working with data from various sources in Splunk and performing analysis on this data, it can be a bit tricky. With this book, you will learn the best practices of working with Splunk. You'll learn about tools and techniques that will ease your life with Splunk, and will ultimately save you time. In some cases, it will adjust your thinking of what Splunk is, and what it can and cannot do. To start with, you'll get to know the best practices to get data into Splunk, analyze data, and package apps for distribution. Next, you'll discover the best practices in logging, operations, knowledge management, searching, and reporting. To finish off, we will teach you how to troubleshoot Splunk searches, as well as deployment, testing, and development with Splunk.
Table of Contents (11 chapters)
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Summary

In this chapter, we have discussed how to move on to understanding what kinds of data inputs Splunk uses in order to get data inputs. We have seen how to enable Splunk to use the methods which they have developed in data inputs. Finally, we have gained brief knowledge about the data inputs for Splunk.

In the next chapter, we will learn about how to format all incoming data to a Splunk-friendly format, pre-indexing, in order to ease search querying and knowledge management going forward.

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