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You're reading from  Learning Elastic Stack 6.0

Product typeBook
Published inDec 2017
PublisherPackt
ISBN-139781787281868
Edition1st Edition
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Authors (2):
Pranav Shukla
Pranav Shukla
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Pranav Shukla

Pranav Shukla is the founder and CEO of Valens DataLabs, a technologist, husband, and father of two. He is a big data architect and software craftsman who uses JVM-based languages. Pranav has diverse experience of over 14 years in architecting enterprise applications for Fortune 500 companies and start-ups. His core expertise lies in building JVM-based, scalable, reactive, and data-driven applications using Java/Scala, the Hadoop ecosystem, Apache Spark, and NoSQL databases. He is a big data engineering, analytics, and machine learning enthusiast.
Read more about Pranav Shukla

Sharath Kumar M N
Sharath Kumar M N
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Sharath Kumar M N

Sharath Kumar M N did his master's in computer science at the University of Texas, Dallas, USA. He is currently working as a senior principal architect at Broadcom. Prior to this, he was working as an Elasticsearch solutions architect at Oracle. He has given several tech talks at conferences such as Oracle Code events. Sharath is a certified trainer Elastic Certified Instructor one of the few technology experts in the world who has been certified by Elastic Inc. to deliver their official from the creators of Elastic training. He is also a data science and machine learning enthusiast. In his free time, he likes playing with his lovely niece, Monisha; nephew, Chirayu; and his pet, Milo.
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Parsing and enriching logs using Logstash


The analysis of structured data is easier and helps us find meaningful/deeper analysis, rather than trying to perform analysis on unstructured data. Most analysis tools depend on structured data. Kibana, which we will be making use of for analysis and visualization, can be used effectively if the data in Elasticsearch is right (the information in the log data is loaded into appropriate fields, and the data type of the fields are more appropriate than just having all the values of the log data in a single field). 

Log data is typically made up of two parts:

logdata = timestamp + data

timestamp is the time when the event occurred and data is the information about the event. data may contain just a single piece of information or it may contain many pieces of information. For example, if we take apache-access logs, the data piece will contain the response code, request URL, IP address, and so on. We would need to have a mechanism for extracting this information...

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Learning Elastic Stack 6.0
Published in: Dec 2017Publisher: PacktISBN-13: 9781787281868

Authors (2)

author image
Pranav Shukla

Pranav Shukla is the founder and CEO of Valens DataLabs, a technologist, husband, and father of two. He is a big data architect and software craftsman who uses JVM-based languages. Pranav has diverse experience of over 14 years in architecting enterprise applications for Fortune 500 companies and start-ups. His core expertise lies in building JVM-based, scalable, reactive, and data-driven applications using Java/Scala, the Hadoop ecosystem, Apache Spark, and NoSQL databases. He is a big data engineering, analytics, and machine learning enthusiast.
Read more about Pranav Shukla

author image
Sharath Kumar M N

Sharath Kumar M N did his master's in computer science at the University of Texas, Dallas, USA. He is currently working as a senior principal architect at Broadcom. Prior to this, he was working as an Elasticsearch solutions architect at Oracle. He has given several tech talks at conferences such as Oracle Code events. Sharath is a certified trainer Elastic Certified Instructor one of the few technology experts in the world who has been certified by Elastic Inc. to deliver their official from the creators of Elastic training. He is also a data science and machine learning enthusiast. In his free time, he likes playing with his lovely niece, Monisha; nephew, Chirayu; and his pet, Milo.
Read more about Sharath Kumar M N