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Splunk operational intelligence cookbook : over 70 practical recipes to gain operational data intelligence with Splunk Enterprise /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Pub.,
©2014.
|
| Colección: | Quick answers to common problems
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Diakun, Josh. | |
| 245 | 1 | 0 | |a Splunk operational intelligence cookbook : |b over 70 practical recipes to gain operational data intelligence with Splunk Enterprise / |c Josh Diakun, Derek Mock, Paul R. Johnson. |
| 260 | |a Birmingham, UK : |b Packt Pub., |c ©2014. | ||
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 490 | 0 | |a Quick answers to common problems | |
| 588 | 0 | |a Online resource; title from title page (Safari, viewed November 17, 2014). | |
| 500 | |a "Quick answers to common problems"--Cover | ||
| 500 | |a Includes index. | ||
| 520 | 8 | |a Annotation |b 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! | |
| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 546 | |a English. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
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| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Automatic data collection systems. | |
| 650 | 0 | |a Information storage and retrieval systems. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Collecte automatique des données. | |
| 650 | 6 | |a Systèmes d'information. | |
| 650 | 7 | |a information storage. |2 aat | |
| 650 | 7 | |a information retrieval services. |2 aat | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a Automatic data collection systems |2 fast | |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Data mining |2 fast | |
| 700 | 1 | |a Johnson, Paul R. | |
| 700 | 1 | |a Mock, Derek. | |
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