Book Image

Improving Your Splunk Skills

By : James D. Miller, Paul R. Johnson, Josh Diakun, Derek Mock
Book Image

Improving Your Splunk Skills

By: James D. Miller, Paul R. Johnson, Josh Diakun, Derek Mock

Overview of this book

Splunk makes it easy for you to take control of your data and drive your business with the cutting edge of operational intelligence and business analytics. Through this Learning Path, you'll implement new services and utilize them to quickly and efficiently process machine-generated big data. You'll begin with an introduction to the new features, improvements, and offerings of Splunk 7. You'll learn to efficiently use wildcards and modify your search to make it faster. You'll learn how to enhance your applications by using XML dashboards and configuring and extending Splunk. You'll also find step-by-step demonstrations that'll walk you through building an operational intelligence application. As you progress, you'll explore data models and pivots to extend your intelligence capabilities. By the end of this Learning Path, you'll have the skills and confidence to implement various Splunk services in your projects. This Learning Path includes content from the following Packt products: Implementing Splunk 7 - Third Edition by James Miller Splunk Operational Intelligence Cookbook - Third Edition by Paul R Johnson, Josh Diakun, et al
Table of Contents (21 chapters)
Title Page

Understanding summary indexes

A summary index is a place to store events calculated by Splunk. Usually, these events are aggregates of raw events broken up over time, for instance, the number of errors that occurred per hour. By calculating this information on an hourly basis, it is cheap and fast to run a query over a longer period of time, for instance, days, weeks, or months.

A summary index is usually populated from a saved search with summary indexing enabled as an action. This is not the only way, but it is certainly the most common one.

On disk, a summary index is identical to any other Splunk index. The difference is solely the source of data. We create the index through configuration or through the GUI like any other index, and we manage the index size in the same way.

Think of an index like a table, or possibly a tablespace, in a typical SQL database. Indexes are capped...