Mastering Splunk 8: Become an expert at implementing the advanced features and capabilities of Splunk 8

Mastering Splunk 8: Become an expert at implementing the advanced features and capabilities of Splunk 8

English | 2020 | ISBN: 978-1838987480 | 470 Pages | PDF, EPUB, MOBI | 174 MB

Delve into Splunk and extend intelligence capabilities, and leverage machine learning to explore data efficiently
Splunk is the most widely used engine for working with machine-generated data. This expert-level guide will help you to leverage advanced use cases to drive business growth using operational intelligence and business analytics features.
You’ll start with an introduction to the new features in Splunk 8, and cover step-by-step exercises that will help you to understand each feature in depth. Next, you’ll explore key tasks such as workload management, performance and alerting, Splunk Enterprise Security, and advanced indexing. You’ll also learn to create categorical charts and run analytical operations on metrics within the Splunk Analytics workspace, before understanding how to deliver insights across your organization even when faced with limited or complex data using advanced data analytics. The book will also show you how to monitor and maintain Splunk environments using advanced dashboards. Later, you’ll create custom data visualization and update dashboards using drag-and-drop and the UI-based dashboard editor. Finally, you’ll add SplunkJS to a web app and use the Splunk Machine Learning Toolkit (MLTK) as an extension to the core Splunk platform using real-world use cases.
By the end of this book, you’ll have learnt how to use various Splunk features to extend intelligence capabilities and perform machine learning to explore data effectively.
What you will learn

  • Understand the components of Splunk 8 and how they work
  • Convert distributed search environments to clusters and configure disaster recovery sites using index clustering
  • Find out how to integrate Splunk with platforms such as AWS and Microsoft Azure
  • Use Search Processing Language (SPL) within Splunk macros to create efficient searching
  • Detect suspicious patterns in data with advanced event correlation searches
  • Explore machine learning with Splunk MLTK
  • Review the beta dashboard editor using working examples
  • Use SplunkJS Stack libraries to further enhance web apps
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