Implementing Splunk : big data reporting and development for operational intelligence ... /
Learn to effectively use, configure, deploy and extend Splunk and implement its powerful capabilities.
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Birmingham :
Packt Pub.,
2013.
|
Colección: | Community experience distilled.
|
Temas: | |
Acceso en línea: | Texto completo Texto completo |
MARC
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100 | 1 | |a Bumgarner, Vincent. | |
245 | 1 | 0 | |a Implementing Splunk : |b big data reporting and development for operational intelligence ... / |c Vincent Bumgarner. |
260 | |a Birmingham : |b Packt Pub., |c 2013. | ||
300 | |a 1 online resource (908 pages) | ||
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505 | 0 | |a Table of Contents; Implementing Splunk: Big Data Reporting and Development for Operational Intelligence; Implementing Splunk: Big Data Reporting and Development for Operational Intelligence; Credits; About the Author; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Downloading the example code; Errata; Piracy; Questions; 1. The Splunk Interface; Logging in to Splunk. | |
505 | 8 | |a The Home appThe top bar; Search app; Data generator; The Summary view; Search; Actions; Timeline; The field picker; Fields; Search results; Options; Events viewer; Using the time picker; Using the field picker; Using Manager; Summary; 2. Understanding Search; Using search terms effectively; Boolean and grouping operators; Clicking to modify your search; Event segmentation; Field widgets; Time; Using fields to search; Using the field picker; Using wildcards efficiently; Only trailing wildcards are efficient; Wildcards are tested last; Supplementing wildcards in fields; All about time. | |
505 | 8 | |a How Splunk parses timeHow Splunk stores time; How Splunk displays time; How time zones are determined and why it matters; Different ways to search against time; Specifying time in-line in your search; _indextime versus _time; Making searches faster; Sharing results with others; Saving searches for reuse; Creating alerts from searches; Schedule; Actions; Summary; 3. Tables, Charts, and Fields; About the pipe symbol; Using top to show common field values; Controlling the output of top; Using stats to aggregate values; Using chart to turn data; Using timechart to show values over time. | |
505 | 8 | |a Timechart optionsWorking with fields; A regular expression primer; Commands that create fields; eval; rex; Extracting loglevel; Using the Extract Fields interface; Using rex to prototype a field; Using the admin interface to build a field; Indexed fields versus extracted fields; Indexed field case 1 -- rare instances of a common term; Indexed field case 2 -- splitting words; Indexed field case 3 -- application from source; Indexed field case 4 -- slow requests; Indexed field case 5 -- unneeded work; Summary; 4. Simple XML Dashboards; The purpose of dashboards; Using wizards to build dashboards. | |
505 | 8 | |a Scheduling the generation of dashboardsEditing the XML directly; UI Examples app; Building forms; Creating a form from a dashboard; Driving multiple panels from one form; Post-processing search results; Post-processing limitations; Panel 1; Panel 2; Panel 3; Final XML; Summary; 5. Advanced Search Examples; Using subsearches to find loosely related events; Subsearch; Subsearch caveats; Nested subsearches; Using transaction; Using transaction to determine the session length; Calculating the aggregate of transaction statistics; Combining subsearches with transaction; Determining concurrency. | |
520 | |a Learn to effectively use, configure, deploy and extend Splunk and implement its powerful capabilities. | ||
588 | 0 | |a Print version record. | |
590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
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650 | 0 | |a Big data. | |
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650 | 7 | |a Big data |2 fast | |
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830 | 0 | |a Community experience distilled. | |
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