This is the code repository for Mastering Splunk 8, published by Packt.
Become an expert at implementing the advanced features and capabilities of Splunk 8
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.
This book covers the following exciting features:
- 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
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
| mcatalog values(metric_name) WHERE index=jimssindex
Following is what you need for this book: This Splunk book is for data professionals, data analysts, and Splunk users looking to leverage the advanced features of the Splunk Enterprise platform to derive valuable business insights from machine data. The book is also a useful expert-level guide for individuals from all facets of IT, business, and security. Prior knowledge of Splunk and its features is mandatory to get the most out of this book.
With the following software and hardware list you can run all code files present in the book (Chapter 1-18).
| Chapter | Software required | OS required |
|---|---|---|
| 1-18 | Splunk 8.0.1 | Windows, Mac OS X, and Linux (Any) |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. [Click here to download it](Graphics Bundle Link).
James D. Miller is an IBM Certified Expert, Master Consultant, and application/system architect with over 35 years of applications and system design/development experience across multiple platforms, technologies, and data formats, including big data. His experience includes IBM Planning Analytics, BI, web architecture/design, systems analysis, GUI design/testing, data modeling, and OLAP design/development. He has also worked on client/server, web, and mainframe applications. He has authored numerous books, including Implementing Splunk, Second Edition; Mastering Splunk, Hands-On Machine Learning with IBM Watson, Watson Projects, Statistics for Data Science, and Mastering Predictive Analytics with R, Second Edition
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