Sections
by Derek Mock, Paul R Johnson, Josh Diakun
Splunk Operational Intelligence Cookbook - Second Edition
- Splunk Operational Intelligence Cookbook Second Edition
- Table of Contents
- Splunk Operational Intelligence Cookbook Second Edition
- Credits
- About the Authors
- About the Reviewer
- www.PacktPub.com
- Preface
- 1. Play Time – Getting Data In
- 2. Diving into Data – Search and Report
- Introduction
- Making raw event data readable
- Finding the most accessed web pages
- Finding the most used web browsers
- Identifying the top-referring websites
- Charting web page response codes
- Displaying web page response time statistics
- Listing the top viewed products
- Charting the application's functional performance
- Charting the application's memory usage
- Counting the total number of database connections
- 3. Dashboards and Visualizations – Making Data Shine
- Introduction
- 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 a bar chart to show the average amount spent by category
- Creating a line chart of item views and purchases over time
- 4. Building an Operational Intelligence Application
- Introduction
- Creating an Operational Intelligence application
- Adding dashboards and reports
- Organizing the dashboards more efficiently
- Dynamically drilling down on activity reports
- Creating a form for searching web activity
- Linking web page activity reports to the form
- Displaying a geographical map of visitors
- Scheduling PDF delivery of a dashboard
- 5. Extending Intelligence – Data Models and Pivoting
- 6. Diving Deeper – Advanced Searching
- Introduction
- Calculating the average session time on a website
- Calculating the average execution time for multi-tier web requests
- Displaying the maximum concurrent checkouts
- Analyzing the relationship of web requests
- Predicting website traffic volumes
- Finding abnormally-sized web requests
- Identifying potential session spoofing
- 7. Enriching Data – Lookups and Workflows
- Introduction
- Looking up product code descriptions
- Flagging suspect IP addresses
- Creating a session state table
- Adding hostnames to IP addresses
- Searching ARIN for a given IP address
- Triggering a Google search for a given error
- Creating a ticket for application errors
- Looking up inventory from an external database
- 8. Being Proactive – Creating Alerts
- 9. Speeding Up Intelligence – Data Summarization
- 10. Above and Beyond – Customization, Web Framework, REST API, HTTP Event Collector, and SDKs
- Introduction
- Customizing the application navigation
- Adding a force-directed graph of web hits
- Adding a calendar heatmap of product purchases
- Adding cell highlighting of average product price
- Remotely querying Splunk's REST API for unique page views
- Creating a Python application to return unique IP addresses
- Creating a custom search command to format product names
- Collecting data from remote scanning devices
- Index
In this book, you will find several headings that appear frequently (Getting ready, How to do it, How it works, There's more, and See also).
To give clear instructions on how to complete a recipe, we use these sections as follows:
This section tells you what to expect in the recipe, and describes how to set up any software or any preliminary settings required for the recipe.
This section usually consists of a detailed explanation of what happened in the previous section.
This section consists of additional information about the recipe in order to make the reader more knowledgeable about the recipe.
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