Practical Splunk Search Processing Language
Apress (Verlag)
978-1-4842-6275-7 (ISBN)
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.
What You Will Learn
Use real-world scenarios (such as analyzing a web access log) to search, group, correlate, and create reports using SPL commands
Enhance your search results using lookups and create new lookup tables using SPL commands
Extract 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 For
Application 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
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.
Chapter 1: Introducing the Splunk Platform.- Chapter 2: Calculating Statistics.- Chapter 3: Using Time-Related Operations.- Chapter 4: Grouping and Correlating.- Chapter 5: Working with Fields.- Chapter 6: Using Lookups.- Chapter 7: Advanced SPL Commands. Chapter 8: Less Common Yet Impactful SPL Commands.- Chapter 9: Optimizing SPL.
Erscheinungsdatum | 16.01.2021 |
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Zusatzinfo | 134 Illustrations, black and white; XXI, 268 p. 134 illus. |
Verlagsort | Berkley |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Mathematik / Informatik ► Informatik ► Netzwerke | |
Informatik ► Office Programme ► Outlook | |
Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
Wirtschaft ► Betriebswirtschaft / Management | |
Schlagworte | Create dashboards in Splunk • Create reports in Splunk • How to write Splunk queries • Learn Splunk • Machine Data • machine learning • Operational Data Intelligence • Querying Machine Data • Splunk • Splunk performance tuning • Splunk query language • Splunk Search Processing Language • Splunk SPL |
ISBN-10 | 1-4842-6275-1 / 1484262751 |
ISBN-13 | 978-1-4842-6275-7 / 9781484262757 |
Zustand | Neuware |
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