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Splunk Operational Intelligence Cookbook

Splunk Operational Intelligence Cookbook

By : Josh Diakun, Raheja, Paul R. Johnson, Derek Mock
4.7 (3)
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Splunk Operational Intelligence Cookbook

Splunk Operational Intelligence Cookbook

4.7 (3)
By: Josh Diakun, Raheja, Paul R. Johnson, Derek Mock

Overview of this book

Splunk makes it easy for you to take control of your data, and with Splunk Operational Cookbook, you can be confident that you are taking advantage of the Big Data revolution and driving your business with the cutting edge of operational intelligence and business analytics. With more than 80 recipes that demonstrate all of Splunk’s features, not only will you find quick solutions to common problems, but you’ll also learn a wide range of strategies and uncover new ideas that will make you rethink what operational intelligence means to you and your organization. You’ll discover recipes on data processing, searching and reporting, dashboards, and visualizations to make data shareable, communicable, and most importantly meaningful. You’ll also find step-by-step demonstrations that walk you through building an operational intelligence application containing vital features essential to understanding data and to help you successfully integrate a data-driven way of thinking in your organization. Throughout the book, you’ll dive deeper into Splunk, explore data models and pivots to extend your intelligence capabilities, and perform advanced searching with machine learning to explore your data in even more sophisticated ways. Splunk is changing the business landscape, so make sure you’re taking advantage of it.
Table of Contents (12 chapters)
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Introduction

Throughout the previous chapters in this book, you have created a great deal of Splunk searches, including historic searches that look back over time and real-time searches. In this chapter, you will learn about alerting, arguably one of Splunk's most powerful features.

A key part of gaining complete operational intelligence is the ability to be proactive rather than reactive. Periodic, ad hoc searching of the data for certain conditions might provide some operational insight, but a better approach would be to continually monitor the data and know immediately when certain conditions are met. For example, instead of reacting to a network outage after it has occurred, it would be better to proactively look for the factors that could lead to a network outage and prevent it from occurring in the first place. It is this type of proactive approach that Splunk&apos...

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