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Implementing Splunk 7, Third Edition

Implementing Splunk 7, Third Edition

5 (4)
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Implementing Splunk 7, Third Edition

Implementing Splunk 7, Third Edition

5 (4)

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 apps to organize configuration

When working with a distributed configuration, there are a number of ways to organize these configurations. The most obvious approach might be to organize configurations by machine type. For instance, put all configurations needed by web servers into one app and all configurations needed by database servers in another app. The problem with this approach is that any changes that affect both types of machines must be made in both apps, and mistakes will most likely be made.

The less fragile but more complicated approach is to normalize your configurations, ensuring that there is only one copy of each configuration spread into multiple apps.

Separate configurations by purpose

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