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Home > Data > Operational Intelligence > Splunk Essentials
Splunk Essentials
Splunk Essentials

Splunk Essentials: Operational Intelligence at your fingertips , Second 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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Page 1 of 9

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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.

Product Details

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Publication date : Sep 30, 2016
Length: 236 pages
Edition : 2nd
Language : English
ISBN-13 : 9781785882135
Vendor :
Splunk
Category :
Data
Concepts :
Operational Intelligence
Tools :
Splunk

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Product Details

Publication date : Sep 30, 2016
Length: 236 pages
Edition : 2nd
Language : English
ISBN-13 : 9781785882135
Vendor :
Splunk
Category :
Data
Concepts :
Operational Intelligence
Tools :
Splunk

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Table of Contents

9 Chapters
1. Splunk in Action Chevron down icon Chevron up icon
1. Splunk in Action
Your Splunk.com account
Installing Splunk on Windows
Creating a Splunk app
Populating data with Eventgen
Controlling Splunk
Configuring Eventgen
Viewing the Destinations app
Creating your first dashboard
Summary
2. Bringing in Data Chevron down icon Chevron up icon
2. Bringing in Data
Splunk and big data
Splunk data sources
Creating indexes
Buckets
Data inputs
Splunk events and fields
Extracting new fields
Summary
3. Search Processing Language Chevron down icon Chevron up icon
3. Search Processing Language
Anatomy of a search
Time modifiers
Filtering search results
Search command - stats
Search command - top/rare
Search commands - chart and timechart
Search command - eval
Search command - rex
Summary
4. Data Models and Pivot Chevron down icon Chevron up icon
4. Data Models and Pivot
Creating a data model
Data model acceleration
Rearranging your dashboard
Summary
5. Data Optimization, Reports, Alerts, and Accelerating Searches Chevron down icon Chevron up icon
5. Data Optimization, Reports, Alerts, and Accelerating Searches
Data classification with event types
Data normalization with tags
Data enrichment with lookups
Creating reports
Creating alerts
Search and report acceleration
Scheduling best practices
Summary indexing
Summary
6. Panes of Glass Chevron down icon Chevron up icon
6. Panes of Glass
Creating effective dashboards
Types of dashboard
Form inputs
Creating a time range input
Creating a radio input
Creating a dropdown input
Static Real-Time dashboard
Creating a map called a choropleth
Summary
7. Splunk SDK for JavaScript and D3.js Chevron down icon Chevron up icon
7. Splunk SDK for JavaScript and D3.js
Introduction to Splunk SDKs
Practical applications of Splunk's SDK
Creating the final dashboard\jobs.js
Summary
8. HTTP Event Collector Chevron down icon Chevron up icon
8. HTTP Event Collector
What is the HEC?
How does the HEC work?
How data flows to the HEC?
Summary
9. Best Practices and Advanced Queries Chevron down icon Chevron up icon
9. Best Practices and Advanced Queries
Temporary indexes and oneshot indexing
Searching within an index
Search within a limited time frame
Quick searches via fast mode
Using event sampling
Splunk Universal Forwarders
Advanced queries
How to improve logs
Summary

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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.
Amazon Verified review Amazon
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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About the 3 authors

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Profile icon Betsy Page Sigman
Betsy Page Sigman
Betsy Page Sigman is a distinguished professor at the McDonough School of Business at Georgetown University in Washington, D.C. She has taught courses in statistics, project management, databases, and electronic commerce for the last 16 years, and has been recognized with awards for teaching and service. She has also worked at George Mason University in the past. Her recent publications include a Harvard Business case study and a Harvard Business review article. Additionally, she is a frequent media commentator on technological issues and big data.
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Profile icon Soni
Soni
Somesh Soni is a Splunk Consultant with over 11 years of IT experience. He has bachelor degree in Computer Science (Hons.) and has been a interested in exploring and learning new technologies throughout his whole life. He has extensive experience in Consulting, Architecture, Administration and Development in Splunk. He's proficient in various programming languages and tools including C#.NET/VB.NET, SSIS, and SQL Server etc. Somesh is currently working as a Splunk Master with Randstad Technologies. His activities are focused on Consulting, Implementation, Admin, Architecture and support related activities for Splunk. He started his career with the one of the Top 3 Indian IT giant He has executed projects for major fortune 500 companies like Coca-Cola, Wells Fargo, Microsoft, Capital Group etc. He has performed in various capacities of Technical Architect, Technical Lead, Onsite Coordinator, Technology Analyst etc. Somesh has been a great contributor in the Splunk Community work and has consistently been on the top of the list. He is a member of Splunk Trust 2015-16 and overall one of the topmost contributor to Splunk Answers community. Acknowledgement: I would like to thank my family and colleagues who have always encouraged and supported me to follow my dreams, my friends who put up with all my crazy antics while I went on a Splunk exploratory Journey and listened with patience on all the tips and tricks of Splunk which I shared with them. Last but not the least I would like to express my gratitude to the entire team of Packt Publishing Ltd for giving me this opportunity.
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Profile icon Erickson Delgado
Erickson Delgado
Erickson Delgado is an enterprise architect who loves to mine and analyze data. He began using Splunk in version 4.0 and has pioneered its use into his current work. He has worked with start-up companies in the Philippines to help build their open source infrastructure. He has developed applications with Python and node.js and is interested in Go and recovering programming with C/C++. In the recent years, he engaged himself in employing DevOps in his work. He blows off steam by saltwater fishing, mountain biking, crafting robots, and touring the country. He lives in Orlando.
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FAQs

How do I buy and download an eBook? Chevron down icon Chevron up icon

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

  • You may make copies of your eBook for your own use onto any machine
  • You may not pass copies of the eBook on to anyone else
How can I make a purchase on your website? Chevron down icon Chevron up icon

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

  1. Register on our website using your email address and the password.
  2. Search for the title by name or ISBN using the search option.
  3. Select the title you want to purchase.
  4. Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title. 
  5. Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)
Where can I access support around an eBook? Chevron down icon Chevron up icon
  • If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
  • To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
  • To view your account details or to download a new copy of the book go to www.packtpub.com/account
  • To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us
What eBook formats do Packt support? Chevron down icon Chevron up icon

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks? Chevron down icon Chevron up icon
  • You can get the information you need immediately
  • You can easily take them with you on a laptop
  • You can download them an unlimited number of times
  • You can print them out
  • They are copy-paste enabled
  • They are searchable
  • There is no password protection
  • They are lower price than print
  • They save resources and space
What is an eBook? Chevron down icon Chevron up icon

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.