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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, you have learnt about the anatomy of a search, and then some key techniques that help in real-world scenarios. Many people understand search syntax; however, to use it effectively (in other words, to become a search ninja) is something much more evasive and continuous. We have also seen real-world use cases in order to get the point across such as merging two datasets at search time, and making the result set of two searches match each other in time.

In the next chapter, I will show the readers how to create form-based dashboards leveraging $foo$ variables as selectors to appropriately pass information to another search, or another dashboard, effectively creating a drill-down effect.

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