Book Image

Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

By : VINCENT BUMGARNER
Book Image

Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

By: VINCENT BUMGARNER

Overview of this book

Splunk is a data collection, indexing, and visualization engine for operational intelligence. It's a powerful and versatile search and analysis engine that lets you investigate, troubleshoot, monitor, alert, and report on everything that's happening in your entire IT infrastructure from one location in real time. Splunk collects, indexes, and harnesses all the fast moving machine data generated by our applications, servers, and devices - physical, virtual, and in the cloud.Given a mountain of machine data, this book shows you exactly how to learn to use Splunk to make something useful from it. Depending on your needs, you can learn to search, transform, and display data, or learn to administer your Splunk installation, large or small. "Implementing Splunk: Big Data Reporting and Development for Operational Intelligence" will help you get your job done faster, whether you read from the beginning or jump to what you need to know today. New and experienced users alike will find nuggets of wisdom throughout.This book provides you with valuable examples and step-by-step instructions, showing you how to take advantage of everything Splunk has to offer you, to make the most out of your machine data."Implementing Splunk: Big Data Reporting and Development for Operational Intelligence" takes you on a journey right from inception to a fully functioning implementation of Splunk. Using a real-world data walkthrough, you'll be shown how to search effectively, create fields, build dashboards, reports, and package apps, manage your indexes, integrate into the enterprise, and extend Splunk. This practical implementation guide equips you with high-level knowledge for configuring, deploying, extending, and integrating Splunk. Depending on the goal and skills of the reader, enough topics are covered to get you on your way to dashboard guru, app developer, or enterprise administrator. This book uses examples curates reference, and sage advice to help you make the most of this incredibly powerful tool.
Table of Contents (19 chapters)
Implementing Splunk: Big Data Reporting and Development for Operational Intelligence
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Using sistats, sitop, and sitimechart


So far we have used the stats command to populate our summary index. While this works perfectly well, the si* variants have a couple of advantages:

  • The remaining portion of the query does not have to be rewritten. For instance, stats count still works as if you were counting the raw events.

  • stats functions that require more data than what happened in that slice of time will still work. For example, if your time slices each represent an hour, it is not possible to calculate the average value for a day using nothing but the average of each hour. sistats keeps enough information to make this work.

There are a few fairly serious disadvantages to be aware of:

  • The query using the summary index must use a subset of the functions and split fields that were in the original populating query. If the subsequent query strays from what is in the original sistats data, the results may be unexpected and difficult to debug. For example:

    • The following code works fine:

      source...