Elastic Stack is a powerful combination of tools for the distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. After a quick overview of the newly introduced features in Elastic Stack 6.0, you'll learn how to set up the stack by installing the tools, and see their basic configurations. Then the book shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You'll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy Elastic Stack in production environments.
Chapter 1, Introducing Elastic Stack, motivates the reader by introducing the core components of Elastic Stack, importance of distributed, scalable search and analytics that Elastic Stack offers with use cases of ElasticSearch. The chapter gives a brief introduction to all core components, shows where do they fit in the overall stack, and details the purpose of each component. It concludes with instructions for downloading and installing ElasticSearch and Kibana to get started.
Chapter 2, Getting Started with ElasticSearch, introduces the core concepts involved in ElasticSearch, which forms the backbone of the Elastic Stack. Concepts such as indexes, types, nodes, and clusters are introduced. The reader is introduced to the REST API for performing essential operations, datatypes, and mappings.
Chapter 3, Searching What Is Relevant, focuses on the search use-case for ElasticSearch. It introduces the concepts of text analysis, tokenizers, analyzers, and the need for analysis and relevance-based searching. The chapter uses and example use-case to cover the relevance based search topics.
Chapter 4, Analytics with ElasticSearch, covers various types of aggregations with examples to gain fundamental understanding. It starts off with very simple to complex aggregations to get powerful insights from terabytes of data. The chapter also covers reasons for using different types of aggregations.
Chapter 5, Analyzing Log Data, lays the foundation for the motivation behind logstash, the architecture of logstash, and installing and configuring logstash to set up basic data pipelines. Elastic 5 introduced Ingest Node, which can be used instead of a dedicated Logstash setup. We will also cover building pipelines using Elastic Ingest Nodes.
Chapter 6, Building Data Pipelines with Logstash, builds on the fundamental knowledge of Logstash by transformations and aggregation related filters. It covers how a rich set of filters brings Logstash closer to the other real-time and near-real-time stream processing frameworks with zero coding. It introduces the Beats platform, and the FileBeat component, which is used to transport log files from the edge machines.
Chapter 7, Visualizing Data with Kibana, covers how to effectively use Kibana to build beautiful dashboards for effective storytelling about your data. It uses a sample dataset and provides step-by-step guidance on creating visualizations in a few clicks.
Chapter 8, Elastic X-Pack, since we have covered ElasticSearch and the core components that help us build data pipelines and visualize data, it's now time to add the extensions needed for specific use cases. This chapter shows you how to install and configure X-Pack components in Elastic Stack and teaches you to secure, monitor, and use alerting extensions.
Chapter 9, Building a Sensor Data Analytics Application, puts together a complete application for sensor data analytics with the concepts learned so far. It shows you how to model your data in ElasticSearch, how to build the data-pipeline to ingest the data and how to visualize it using Kibana. The chapter also demonstrates how to effectively use X-Pack components to secure and monitor your pipeline, and get alerts when certain conditions are met.
Chapter 10, Running Elastic Stack in Production, covers recommendations on how to deploy Elastic Stack to production. It provides recommendations for taking your application to production and guidelines on typical configurations that need to be looked at for different use cases. It also covers deploying into cloud-based hosted providers such as Elastic Cloud.
Chapter 11, Monitoring Server Infrastructure, shows how we can use Elastic Stack to set up a real-time monitoring solution for your servers, applications that are built completely using Elastic Stack. It introduces another component of the Beats platform, MetricBeat, which is used to monitor servers/applications.
This book will guide you through the installation of all the tools that you need to follow the examples and download the following files with the version:
- Elasticsearch 6.0
- Kibana 6.0
This book is for data professionals who want to get amazing insights and business metrics from their data sources. If you want to get a fundamental understanding of Elastic Stack for the distributed, real-time processing of data, this book will help you. A fundamental knowledge of JSON would be useful, but is not mandatory. No previous experience with Elastic Stack is required.
In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning. Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "The next lines of code read the link and assign it to the BeautifulSoup
function." A block of code is set as follows:
#import packages into the project from bs4 import BeautifulSoup from urllib.request import urlopen import pandas as pd
When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:
[default] exten => s,1,Dial(Zap/1|30) exten => s,2,Voicemail(u100) exten => s,102,Voicemail(b100) exten => i,1,Voicemail(s0)
Any command-line input or output is written as follows:
C:\Python34\Scripts> pip install -upgrade pipC:\Python34\Scripts> pip install pandas
New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "In order to download new modules, we will go to Files
| Settings
| Project Name
| Project Interpreter
."
Feedback from our readers is always welcome. Let us know what you think about this book-what you liked or disliked. Reader feedback is important for us as it helps us develop titles that you will really get the most out of. To send us general feedback, simply email [email protected]
, and mention the book's title in the subject of your message. If there is a topic that you have expertise in and you are interested in either writing or contributing to a book, see our author guide at www.packtpub.com/authors.
Now that you are the proud owner of a Packt book, we have a number of things to help you to get the most from your purchase.
You can download the example code files for this book from your account at http://www.packtpub.com. If you purchased this book elsewhere, you can visit http://www.packtpub.com/support and register to have the files emailed directly to you. You can download the code files by following these steps:
- Log in or register to our website using your email address and password.
- Hover the mouse pointer on the
SUPPORT
tab at the top. - Click on
Code Downloads & Errata
. - Enter the name of the book in the
Search
box. - Select the book for which you're looking to download the code files.
- Choose from the drop-down menu where you purchased this book from.
- Click on
Code Download
.
Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:
- WinRAR / 7-Zip for Windows
- Zipeg / iZip / UnRarX for Mac
- 7-Zip / PeaZip for Linux
The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Learning-Elastic-Stack-6. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!
We also provide you with a PDF file that has color images of the screenshots/diagrams used in this book. The color images will help you better understand the changes in the output. You can download this file from https://www.packtpub.com/sites/default/files/downloads/LearningElasticStack6_ColorImages.pdf.
Although we have taken every care to ensure the accuracy of our content, mistakes do happen. If you find a mistake in one of our books-maybe a mistake in the text or the code-we would be grateful if you could report this to us. By doing so, you can save other readers from frustration and help us improve subsequent versions of this book. If you find any errata, please report them by visiting http://www.packtpub.com/submit-errata, selecting your book, clicking on the Errata Submission Form
link, and entering the details of your errata. Once your errata are verified, your submission will be accepted and the errata will be uploaded to our website or added to any list of existing errata under the Errata section of that title. To view the previously submitted errata, go to https://www.packtpub.com/books/content/support and enter the name of the book in the search field. The required information will appear under the Errata
section.
Piracy of copyrighted material on the internet is an ongoing problem across all media. At Packt, we take the protection of our copyright and licenses very seriously. If you come across any illegal copies of our works in any form on the internet, please provide us with the location address or website name immediately so that we can pursue a remedy. Please contact us at [email protected]
with a link to the suspected pirated material. We appreciate your help in protecting our authors and our ability to bring you valuable content.
If you have a problem with any aspect of this book, you can contact us at [email protected]
, and we will do our best to address the problem.