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Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise  Cover Image E-book E-book

Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise / Josh Diakun, Derek Mock, Paul R. Johnson.

Diakun, Josh. (Author). Johnson, Paul R. (Added Author). Mock, Derek. (Added Author).

Summary:

Annotation This book is intended for users of all levels who are looking to leverage the Splunk Enterprise platform as a valuable operational intelligence tool. The recipes provided in this book will appeal to individuals from all facets of a business IT, Security, Product, Marketing, and many more!

Record details

  • ISBN: 9781849697859
  • ISBN: 184969785X
  • ISBN: 1849697841
  • ISBN: 9781849697842
  • Physical Description: 1 online resource (1 volume) : illustrations.
  • Publisher: Birmingham, UK : Packt Pub., ©2014.

Content descriptions

General Note:
"Quick answers to common problems"--Cover.
Includes index.
Formatted Contents Note:
Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Play Time -- Getting Data In; Introduction; Indexing files and directories; Getting data through network ports; Using scripted inputs; Using modular inputs; Using the Universal Forwarder to gather data; Loading the sample data for this book; Defining field extractions; Defining event types and tags; Summary; Chapter 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 websitesCharting 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; Summary; Chapter 3: Dashboards and Visualizations -- Make 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 hostCreating 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; Summary; Chapter 4: Building an Operational Intelligence Application; Introduction; Creating an Operational Intelligence application; Adding dashboards and reports
Organizing the dashboards more efficientlyDynamically drilling down on activity reports; Creating a form to search web activity; Linking web page activity reports to the form; Displaying a geographical map of visitors; Scheduling the PDF delivery of a dashboard; Summary; Chapter 5: Extending Intelligence -- Data Models and Pivoting; Introduction; Creating a data model for web access logs; Creating a data model for application logs; Accelerating data models; Pivoting total sales transactions; Pivoting purchases by geographic location; Pivoting slowest responding web pages
Pivot charting top error codesSummary; Chapter 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; Summary; Chapter 7: Enriching Data -- Lookups and Workflows; Introduction; Looking up product code descriptions; Flagging suspect IP addresses; Creating a session state table
Language Note:
English.
Source of Description Note:
Online resource; title from title page (Safari, viewed Nov. 17, 2014).
Subject: Big data.
Data mining.
Automatic data collection systems.
Données volumineuses.
Exploration de données (Informatique)
Collecte automatique des données.
COMPUTERS > General.
Automatic data collection systems.
Big data.
Data mining.
Genre: Electronic books.
Electronic books.


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