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Splunk Essentials
Splunk Essentials

Splunk Essentials: Operational Intelligence at your fingertips , Second Edition

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Profile Icon Betsy Page Sigman Profile Icon Soni Profile Icon Erickson Delgado
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R$245.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5 (8 Ratings)
Paperback Sep 2016 236 pages 2nd Edition
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Arrow left icon
Profile Icon Betsy Page Sigman Profile Icon Soni Profile Icon Erickson Delgado
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R$245.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5 (8 Ratings)
Paperback Sep 2016 236 pages 2nd Edition
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Splunk Essentials

Chapter 2.  Bringing in Data

The process of collecting data with Splunk is enhanced, as its system makes it easy to get data from many types of computerized systems, which are responsible for much of the data produced today. Such data is frequently referred to as machine data. And since much of this is streaming data, Splunk is especially useful, as it can handle streaming data quickly and efficiently. Additionally, Splunk can collect data from many other sources.

In this chapter, you will learn about Splunk and its role in big data, as well as the most common methods of ingesting data into Splunk. The chapter will also introduce essential concepts such as forwarders, indexes, events, event types, fields, sources, and source types. It is paramount that you learn this early on as it will empower you to gather more data. In this chapter we will cover the following topics:

  • Splunk and big data
  • Splunk data sources
  • Splunk indexes
  • Inputting data into Splunk
  • Splunk events and fields

Splunk and big data

Splunk is useful for datasets of all types, and it allows you to use big data tools on datasets of all sizes. But with the recent focus on big data, its usefulness becomes even more apparent. Big data is a term used everywhere these days, but one that few people understand. In this part of the chapter, we will discuss aspects of big data and the terms that describe those aspects.

Streaming data

Much of the data that is large and comes quickly does not need to be kept. For instance, consider a mechanical plant; there can be many sensors that collect data on all parts of the assembly line. The significance of this data is primarily to be able to alert someone to a possible upcoming problem (through noticing a bad trend) or to a current problem (by drawing attention to a metric that has exceeded some designated level); and much of it does not need to be kept for a long period of time. Often this type of data loses its importance once its timeliness expires and its main...

Splunk data sources

Splunk was invented as a way to keep track of and analyze machine data coming from a variety of computerized systems. It is a powerful platform for doing just that. But since its invention, it has been used for a myriad of different data types, including machine data, log data (which is a type of machine data), and social media data. The various types of data that Splunk is often used for are explained in the next few sections.

Machine data

As mentioned previously, much of Splunk's data is machine data. Machine data is data created each time a machine does something, even if it is as seemingly insignificant as a tick on a clock. Each tick has information about its exact time (down to the second) and source, and each of these becomes a field associated with the event (the tick). The term "machine data" can be used in reference to a wide variety of data coming from computerized machines, from servers to operating systems to controllers for robotic assembly...

Creating indexes

Indexes are where Splunk Enterprise stores all the data it has processed. It is essentially a collection of databases that is, by default, located at $SPLUNK_HOME/var/lib/splunk. Before data can be searched, it needs to be indexed, a process we describe here.

There are two ways to create an index, through the Splunk portal or by creating an indexes.conf file. You will be shown here how to create an index using the Splunk portal, but you should realize that when you do that, it simply generates an indexes.conf file.

You will be creating an index called wineventlogs to store Windows Event Logs. To do this, take the following steps:

  1. In the Splunk navigation bar, go to Settings.
  2. In the Data section, click on Indexes, which will take you to the Indexes page.
  3. Click on New Index.
  4. Now fill out the information for this new index as seen in the following screenshot, carefully going through steps 1 to 4.
  5. Be sure to Save when you are done.
    Creating indexes

You will now see the new index in the list as shown...

Buckets

You may have noticed that there is a certain pattern in this configuration file, in which folders are broken into three locations: coldPath, homePath, and thawedPath. This is a very important concept in Splunk. An index contains compressed raw data and associated index files that can be spread out into age-designated directories. Each piece of this index directory is called a bucket.

A bucket moves through several stages as it ages. In general, as your data gets older (think colder) in the system, it is pushed to the next bucket. And, as you can see in the following list, the thawed bucket contains data that has been resurrected from an archive. Here is a breakdown of the buckets in relation to each other:

  • hot: This is newly indexed data and open for writing (hotPath)
  • warm: This is data rolled from hot with no active writing (warmPath)
  • cold: This is data rolled from warm (coldPath)
  • frozen: This is data rolled from cold and deleted by default but it can be archived (frozenPath)
  • thawed...

Splunk and big data


Splunk is useful for datasets of all types, and it allows you to use big data tools on datasets of all sizes. But with the recent focus on big data, its usefulness becomes even more apparent. Big data is a term used everywhere these days, but one that few people understand. In this part of the chapter, we will discuss aspects of big data and the terms that describe those aspects.

Streaming data

Much of the data that is large and comes quickly does not need to be kept. For instance, consider a mechanical plant; there can be many sensors that collect data on all parts of the assembly line. The significance of this data is primarily to be able to alert someone to a possible upcoming problem (through noticing a bad trend) or to a current problem (by drawing attention to a metric that has exceeded some designated level); and much of it does not need to be kept for a long period of time. Often this type of data loses its importance once its timeliness expires and its main usefulness...

Splunk data sources


Splunk was invented as a way to keep track of and analyze machine data coming from a variety of computerized systems. It is a powerful platform for doing just that. But since its invention, it has been used for a myriad of different data types, including machine data, log data (which is a type of machine data), and social media data. The various types of data that Splunk is often used for are explained in the next few sections.

Machine data

As mentioned previously, much of Splunk's data is machine data. Machine data is data created each time a machine does something, even if it is as seemingly insignificant as a tick on a clock. Each tick has information about its exact time (down to the second) and source, and each of these becomes a field associated with the event (the tick). The term "machine data" can be used in reference to a wide variety of data coming from computerized machines, from servers to operating systems to controllers for robotic assembly arms. Almost all...

Creating indexes


Indexes are where Splunk Enterprise stores all the data it has processed. It is essentially a collection of databases that is, by default, located at $SPLUNK_HOME/var/lib/splunk. Before data can be searched, it needs to be indexed, a process we describe here.

There are two ways to create an index, through the Splunk portal or by creating an indexes.conf file. You will be shown here how to create an index using the Splunk portal, but you should realize that when you do that, it simply generates an indexes.conf file.

You will be creating an index called wineventlogs to store Windows Event Logs. To do this, take the following steps:

  1. In the Splunk navigation bar, go to Settings.

  2. In the Data section, click on Indexes, which will take you to the Indexes page.

  3. Click on New Index.

  4. Now fill out the information for this new index as seen in the following screenshot, carefully going through steps 1 to 4.

  5. Be sure to Save when you are done.

You will now see the new index in the list as shown...

Buckets


You may have noticed that there is a certain pattern in this configuration file, in which folders are broken into three locations: coldPath, homePath, and thawedPath. This is a very important concept in Splunk. An index contains compressed raw data and associated index files that can be spread out into age-designated directories. Each piece of this index directory is called a bucket.

A bucket moves through several stages as it ages. In general, as your data gets older (think colder) in the system, it is pushed to the next bucket. And, as you can see in the following list, the thawed bucket contains data that has been resurrected from an archive. Here is a breakdown of the buckets in relation to each other:

  • hot: This is newly indexed data and open for writing (hotPath)

  • warm: This is data rolled from hot with no active writing (warmPath)

  • cold: This is data rolled from warm (coldPath)

  • frozen: This is data rolled from cold and deleted by default but it can be archived (frozenPath)

  • thawed:...

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Key benefits

  • Want to get started with Splunk to analyze and visualize machine data? Open this book and step into the world of Splunk.
  • Leverage the exceptional analysis and visualization capabilities to make informed decisions for your business
  • This easy-to-follow, practical book can be used by anyone, even if you have never managed any data before

Description

Splunk is a search, analysis, and reporting platform for machine data, which has a high adoption on the market. More and more organizations want to adopt Splunk to use their data to make informed decisions. This book is for anyone who wants to manage data with Splunk. You’ll start with very basics of Splunk— installing Splunk—and then move on to searching machine data with Splunk. You will gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields. After this, you will learn to create various reports, XML forms, and alerts. You will then continue using the Pivot Model to transform the data models into visualization. You will also explore visualization with D3 in Splunk. Finally you’ll be provided with some real-world best practices in using Splunk.

Who is this book for?

This book will be perfect for you if you are a Software engineer or developer or System administrators or Business analyst who seek to correlate machine data with business metrics and provide intuitive real-time and statistical visualizations. Some knowledge or experience of previous versions of Splunk will be helpful but not essential.

What you will learn

  • Install and configure Splunk
  • Gather data from different sources, isolate them by indexes, classify them into source types, and tag them with the essential fields
  • Be comfortable with the Search Processing Language and get to know the best practices in writing search queries
  • Create stunning and powerful dashboards
  • Be proactive by implementing alerts and scheduled reports
  • Use the Splunk SDK and integrate Splunk data into other applications
  • Implement the best practices in using Splunk.
Estimated delivery fee Deliver to Brazil

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Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 30, 2016
Length: 236 pages
Edition : 2nd
Language : English
ISBN-13 : 9781785889462
Vendor :
Splunk
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Product Details

Publication date : Sep 30, 2016
Length: 236 pages
Edition : 2nd
Language : English
ISBN-13 : 9781785889462
Vendor :
Splunk
Category :
Tools :

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Table of Contents

9 Chapters
1. Splunk in Action Chevron down icon Chevron up icon
2. Bringing in Data Chevron down icon Chevron up icon
3. Search Processing Language Chevron down icon Chevron up icon
4. Data Models and Pivot Chevron down icon Chevron up icon
5. Data Optimization, Reports, Alerts, and Accelerating Searches Chevron down icon Chevron up icon
6. Panes of Glass Chevron down icon Chevron up icon
7. Splunk SDK for JavaScript and D3.js Chevron down icon Chevron up icon
8. HTTP Event Collector Chevron down icon Chevron up icon
9. Best Practices and Advanced Queries Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5
(8 Ratings)
5 star 50%
4 star 0%
3 star 12.5%
2 star 25%
1 star 12.5%
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Amazon Customer Nov 03, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
good reference
Amazon Verified review Amazon
Amazon Customer Jan 11, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Its a unique book. I suggest this book to all splunkers. Style of writing, presenting concepts make anyone feel "Learning Splunk is easy with this book". Screenshots and step by step instructions is good to follow.This book contains everything a Splunk developer needs to start working on Splunk and saves some time to understand concepts easily.Splunk Terminology, SPL commands.I would say this book is a practical guide.I give the book 5 * stars because the author does provide many examples, information about what to expect from a Splunk developer/Administrator.
Amazon Verified review Amazon
Murali Dec 08, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Very good book for understanding the Splunk and its capabilities on IT Operations space. Authors have given some excellent use-cases which we can implement using this book.
Amazon Verified review Amazon
pti_loup91 Aug 30, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Livre bien écrit, très pédagogique, excellent pour entrer dans le produit, comprendre ce qu'il fait, ce qu'il permet, etc... Exemples (Avec kit d'exemples à télécharger) pour Windows, on commence simple et on va de plus en plus loin. Le livre est assez complet, même si on aurait aimer aller plus loin dans certains points comme les remontées d'alerte par mails, mais sur Windows, il est plus compliqué de mettre en place un serveur SMTP de base, donc... Peut-être aurait-il été préférable de monter le kit d'exercices sur Linux ? Le produit semble bon et complet, il ne me reste plus qu'à relever les manches et monter mes propres cas, ce livre a été au delà de mes attentes. Je le recommande.
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Richard Boeth Feb 05, 2017
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
I was looking for less of a tutorial format and more time spent in exploring business application of the tool. There was lots of good information that would serve a developer looking to use splunk. If I was to buy this book again, I would opt for hardcopy to use it as a desk reference.
Amazon Verified review Amazon
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