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Implementing Splunk 7, Third Edition

Implementing Splunk 7, Third Edition

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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 transaction

The transaction command lets you group events based on their proximity to other events. This proximity is determined either by ranges of time, or by specifying the text contained in the first and/or last event in a transaction.

This is an expensive process, but is sometimes the best way to group certain events. Unlike other transforming commands, when using transaction, the original events are maintained, and are grouped together into multivalued events.

Some rules of thumb for the usage of transaction are as follows:

  • If the question can be answered using stats (and it often can), it will almost always be more efficient.
  • All the events needed for the transaction have to be found in one search.
  • When grouping is based on field values, and all the events need at least one field in common with at least one other event, then it can be considered as part of the transaction...
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