Book Image

Implementing Splunk 7, Third Edition - Third Edition

Book Image

Implementing Splunk 7, Third Edition - Third Edition

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 (19 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

The toolkit workbench


So once again, the Splunk Machine Learning Toolkit attempts to simplify or streamline the process of applying machine learning techniques to your Splunk-collected data.

This version 3.1.0 (of the app) provides showcase examples organized by the type of analytic using:

  • Classification (predicting a yay or nay)
  • Regression
  • Anomaly detection
  • Outlier detection
  • Other ways

The showcases demonstrate how to apply the aforementioned machine learning methods to a sample of datasets (also downloaded as part of the app) for you to use as a starting point for building your own analysis.

Once you have launched the Splunk Machine Learning Toolkit app, you will see the Showcase page:

From the Splunk Showcase page, you can click on any of showcase examples, each of which will open the appropriate assistant, guiding you through the process of applying it to data.

If you click on one of the examples listed (such as Predict Numeric Fields), you will see the assistant applied to sample data:

The toolkit...