Book Image

Advanced Splunk

By : Ashish Kumar Tulsiram Yadav
Book Image

Advanced Splunk

By: Ashish Kumar Tulsiram Yadav

Overview of this book

Master the power of Splunk and learn the advanced strategies to get the most out of your machine data with this practical advanced guide. Make sense of the hidden data of your organization – the insight of your servers, devices, logs, traffic and clouds. Advanced Splunk shows you how. Dive deep into Splunk to find the most efficient solution to your data problems. Create the robust Splunk solutions you need to make informed decisions in big data machine analytics. From visualizations to enterprise integration, this well-organized high level guide has everything you need for Splunk mastery. Start with a complete overview of all the new features and advantages of the latest version of Splunk and the Splunk Environment. Go hands on with uploading data, search commands for basic and advanced analytics, advanced visualization techniques, and dashboard customizing. Discover how to tweak Splunk to your needs, and get a complete on Enterprise Integration of Splunk with various analytics and visualization tools. Finally, discover how to set up and use all the new features of the latest version of Splunk.
Table of Contents (20 chapters)
Advanced Splunk
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Preface
Index

Predicting and trending


The following set of commands are used to predict the future values based on the historic values and pre-existing data sets and to create trends for better visualization of the data. Using the prediction technique, an error or issue that could arise in future can be predicted and then preventive measures can be taken. The following set of commands can be used to predict possible network outage, any device/server failures, and so on.

The predict command

The Splunk predict command can predict the future values of time series data. Time series is a set of values in the given dataset over time intervals. Examples of time series data can be data generated by machines as per their daily usage. This can be stock values of any script over the day, week, month, year, and so on. Basically, time series data can be any data that has data points over the time interval. Let's take an example. The Predict command can be used to predict the network condition of an LTE network for the...