Implementing Splunk: big data reporting and development for operational intelligence ...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Pub.
2013
|
| Schriftenreihe: | Community experience distilled
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 |
| Beschreibung: | Using transaction with concurrency 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 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 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 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 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 Learn to effectively use, configure, deploy and extend Splunk and implement its powerful capabilities |
| Beschreibung: | 908 pages |
| ISBN: | 9781849693295 1849693293 1849693285 9781849693288 |
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| 500 | |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 | ||
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| illustrated | Not Illustrated |
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| spelling | Bumgarner, Vincent Verfasser aut Implementing Splunk big data reporting and development for operational intelligence ... Vincent Bumgarner Birmingham Packt Pub. 2013 908 pages txt rdacontent c rdamedia cr rdacarrier Community experience distilled Using transaction with concurrency 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 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 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 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 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 Learn to effectively use, configure, deploy and extend Splunk and implement its powerful capabilities Splunk blmlsh Computer animation Computer graphics Flash (Computer file) Multimedia systems Web sites / Design Data mining / Computer programs Electronic data processing Big data COMPUTERS / Digital Media / General bisacsh COMPUTERS / Interactive & Multimedia bisacsh COMPUTERS / Web / Site Design bisacsh COMPUTERS / Web / User Generated Content bisacsh Big data fast Datenverarbeitung Big Data (DE-588)4802620-7 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Big Data (DE-588)4802620-7 s Datenanalyse (DE-588)4123037-1 s Data Mining (DE-588)4428654-5 s 1\p DE-604 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Bumgarner, Vincent Implementing Splunk big data reporting and development for operational intelligence ... Splunk blmlsh Computer animation Computer graphics Flash (Computer file) Multimedia systems Web sites / Design Data mining / Computer programs Electronic data processing Big data COMPUTERS / Digital Media / General bisacsh COMPUTERS / Interactive & Multimedia bisacsh COMPUTERS / Web / Site Design bisacsh COMPUTERS / Web / User Generated Content bisacsh Big data fast Datenverarbeitung Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4802620-7 (DE-588)4428654-5 (DE-588)4123037-1 |
| title | Implementing Splunk big data reporting and development for operational intelligence ... |
| title_auth | Implementing Splunk big data reporting and development for operational intelligence ... |
| title_exact_search | Implementing Splunk big data reporting and development for operational intelligence ... |
| title_full | Implementing Splunk big data reporting and development for operational intelligence ... Vincent Bumgarner |
| title_fullStr | Implementing Splunk big data reporting and development for operational intelligence ... Vincent Bumgarner |
| title_full_unstemmed | Implementing Splunk big data reporting and development for operational intelligence ... Vincent Bumgarner |
| title_short | Implementing Splunk |
| title_sort | implementing splunk big data reporting and development for operational intelligence |
| title_sub | big data reporting and development for operational intelligence ... |
| topic | Splunk blmlsh Computer animation Computer graphics Flash (Computer file) Multimedia systems Web sites / Design Data mining / Computer programs Electronic data processing Big data COMPUTERS / Digital Media / General bisacsh COMPUTERS / Interactive & Multimedia bisacsh COMPUTERS / Web / Site Design bisacsh COMPUTERS / Web / User Generated Content bisacsh Big data fast Datenverarbeitung Big Data (DE-588)4802620-7 gnd Data Mining (DE-588)4428654-5 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Splunk Computer animation Computer graphics Flash (Computer file) Multimedia systems Web sites / Design Data mining / Computer programs Electronic data processing Big data COMPUTERS / Digital Media / General COMPUTERS / Interactive & Multimedia COMPUTERS / Web / Site Design COMPUTERS / Web / User Generated Content Datenverarbeitung Big Data Data Mining Datenanalyse |
| work_keys_str_mv | AT bumgarnervincent implementingsplunkbigdatareportinganddevelopmentforoperationalintelligence |