Use this practical guide to the Splunk operational data intelligence platform to search, visualize, and analyze petabyte-scale, unstructured machine data. Get to the heart of the platform and use the Search Processing Language (SPL) tool to query the platform to find the answers you need.
With more than 140 commands, SPL gives you the power to ask any question of machine data. However, many users (both newbies and experienced users) find the language difficult to grasp and complex. This book takes you through the basics of SPL using plenty of hands-on examples and emphasizes the most impactful SPL commands (such as eval, stats, and timechart). You will understand the most efficient ways to query Splunk (such as learning the drawbacks of subsearches and join, and why it makes sense to use tstats). You will be introduced to lesser-known commands that can be very useful, such as using the command rex to extract fieldsand erex to generate regular expressions automatically.
In addition, you will learn how to create basic visualizations (such as charts and tables) and use prescriptive guidance on search optimization. For those ready to take it to the next level, the author introduces advanced commands such as predict, kmeans, and cluster.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Karun Subramanian is an IT operations expert and a Splunk certified architect. He is committed to helping IT organizations implement world-class observability by making use of machine-generated data. His IT career has spanned more than two decades, ranging from systems administrator to software engineer to IT director. Possessing deep expertise of the Splunk platform, he has assisted teams to solve complex problems in the area of DevOps, security, and business analytics. He has worked in engineering roles for firms including Wells Fargo Bank, Express Scripts, Federal Reserve Bank, and Optum.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABNR-208350
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate user level|Serves as a quick reference for the most popular SPL commandsProvides detailed guidance on improving the performance of SPL commandsTeaches SPL through the use of numerous real-world examples . N° de réf. du vendeur 389990623
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Paperback or Softback. Etat : New. Practical Splunk Search Processing Language: A Guide for Mastering Spl Commands for Maximum Efficiency and Outcome 1.12. Book. N° de réf. du vendeur BBS-9781484262757
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Use this practical guide to the Splunk operational data intelligence platform to search, visualize, and analyze petabyte-scale, unstructured machine data. Get to the heart of the platform and use the Search Processing Language (SPL) tool to query the platform to find the answers you need. With more than 140 commands, SPL gives you the power to ask any question of machine data. However, many users (both newbies and experienced users) find the language difficult to grasp and complex. This book takes you through the basics of SPL using plenty of hands-on examples and emphasizes the most impactful SPL commands (such aseval, stats, and timechart). You will understand the most efficient ways to query Splunk (such as learning the drawbacks of subsearches and join, and why it makes sense to use tstats). You will be introduced to lesser-known commands that can be very useful, such as using the command rex to extract fieldsand erexto generate regular expressions automatically.In addition, you will learn how to create basic visualizations (such as charts and tables) and use prescriptive guidance on search optimization. For those ready to take it to the next level, the author introduces advanced commands such as predict, kmeans, and cluster.What You Will LearnUse real-world scenarios (such as analyzing a web access log) to search, group, correlate, and create reports using SPL commandsEnhance your search results using lookups and create new lookup tables using SPL commandsExtract fields from your search results Compare data from multiple time frames in one chart (such as comparing your current day application performance to the average of the past 30 days) Analyze the performance of your search using Job Inspector and identify execution costs of various components of your search Who This Book Is ForApplication developers, architects, DevOps engineers, application support engineers, network operations center analysts, security operations center (SOC)analysts, and cyber security professionals who use Splunk to search and analyze their machine data 292 pp. Englisch. N° de réf. du vendeur 9781484262757
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Taschenbuch. Etat : Neu. Neuware -Use this practical guide to the Splunk operational data intelligence platform to search, visualize, and analyze petabyte-scale, unstructured machine data. Get to the heart of the platform and use the Search Processing Language (SPL) tool to query the platform to find the answers you need.With more than 140 commands, SPL gives you the power to ask any question of machine data. However, many users (both newbies and experienced users) find the language difficult to grasp and complex. This book takes you through the basics of SPL using plenty of hands-on examples and emphasizes the most impactful SPL commands (such as eval, stats, and timechart). You will understand the most efficient ways to query Splunk (such as learning the drawbacks of subsearches and join, and why it makes sense to use tstats). You will be introduced to lesser-known commands that can be very useful, such as using the command rex to extract fieldsand erex to generate regular expressions automatically.In addition, you will learn how to create basic visualizations (such as charts and tables) and use prescriptive guidance on search optimization. For those ready to take it to the next level, the author introduces advanced commands such as predict, kmeans, and cluster.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 292 pp. Englisch. N° de réf. du vendeur 9781484262757
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