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Splunk Operational Intelligence Cookbook

You're reading from   Splunk Operational Intelligence Cookbook Over 80 recipes for transforming your data into business-critical insights using Splunk

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Product type Paperback
Published in May 2018
Publisher
ISBN-13 9781788835237
Length 541 pages
Edition 3rd Edition
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Authors (4):
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Yogesh Raheja Yogesh Raheja
Author Profile Icon Yogesh Raheja
Yogesh Raheja
Josh Diakun Josh Diakun
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Josh Diakun
Derek Mock Derek Mock
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Derek Mock
Paul R. Johnson Paul R. Johnson
Author Profile Icon Paul R. Johnson
Paul R. Johnson
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Toc

Table of Contents (12) Chapters Close

Preface 1. Play Time – Getting Data In 2. Diving into Data – Search and Report FREE CHAPTER 3. Dashboards and Visualizations - Make Data Shine 4. Building an Operational Intelligence Application 5. Extending Intelligence – Datasets, Modeling and Pivoting 6. Diving Deeper – Advanced Searching, Machine Learning and Predictive Analytics 7. Enriching Data – Lookups and Workflows 8. Being Proactive – Creating Alerts 9. Speeding Up Intelligence – Data Summarization 10. Above and Beyond – Customization, Web Framework, HTTP Event Collector, REST API, and SDKs 11. Other Books You May Enjoy

Dashboards and Visualizations - Make Data Shine

In this chapter, we will learn how to build dashboards and create visualizations of your data. We will cover the following recipes:

  • Creating an Operational Intelligence dashboard
  • Using a pie chart to show the most accessed web pages
  • Displaying the unique number of visitors
  • Using a gauge to display the number of errors
  • Charting the number of method requests by type and host
  • Creating a timechart of method requests, views, and response times
  • Using a scatter chart to identify discrete requests by size and response time
  • Creating an area chart of the application's functional statistics
  • Using metrics data and a trellis layout to monitor physical environment operating conditions
  • Using a bar chart to show the average amount spent by category
  • Creating a line chart of item views and purchases over time
...
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