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Advanced Splunk

Advanced Splunk

By : Tulsiram Yadav
3.8 (4)
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Advanced Splunk

Advanced Splunk

3.8 (4)
By: 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 (14 chapters)
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13
Index

Anomalies


Anomaly detection, also known as outlier detection, is a branch of data mining that deals with identification of events, items, observations, or patterns that do not comply to a set of expected events or patterns. Basically, a different (anomalous) behavior is a sign of an issue that could be arising in the given dataset. Splunk provides commands to detect anomalies in real time, and this can useful in detecting fraudulent transaction of bank credit cards, network and IT security frauds, hacking activity, and so on. Splunk has various commands that can be used to detect anomalies. There is also a Splunk app named Prelert Anomaly Detective App for Splunk on the app store. It can be used to mine the data for anomaly detection. The following commands can be either used to group similar events or to create a cluster of anomalous or outlier events.

The anomalies command

The anomalies Splunk command is used to detect the unexpectedness in the given data. This command assigns a score to...

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