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

Deep diving into various input methods and sources


Splunk supports numerous ways to ingest data on its server. Any data generated from a human-readable machine from various sources can be uploaded using data input methods such as files, directories, and TCP/UDP scripts which can be indexed on the Splunk Enterprise server and analytics and insights can be derived from them.

Data sources

Uploading data on Splunk is one of the most important parts of analytics and visualizations of data. If data is not properly parsed, timestamped, or broken into events, then it can be difficult to analyze and get proper insight on the data. Splunk can be used to analyze and visualize data ranging from various domains, such as IT security, networking, mobile devices, telecom infrastructure, media and entertainment devices, storage devices, and many more. The machine-generated data from different sources can be of different formats and types, and hence, it is very important to parse data in the best format to...