Book Image

Learning Elastic Stack 6.0

By : Pranav Shukla, Sharath Kumar M N
Book Image

Learning Elastic Stack 6.0

By: Pranav Shukla, Sharath Kumar M N

Overview of this book

The Elastic Stack is a powerful combination of tools for 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 it 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 the Elastic Stack in production environments. On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems.
Table of Contents (19 chapters)
Title Page
Credits
Disclaimer
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Sending data to Logstash over HTTP


At this point, sensors can start sending their readings to the Logstash data pipeline that we have created in the previous section. They just need to send data as follows:

curl -XPOST -u sensor_data:sensor_data --header "Content-Type: application/json" "http://localhost:8080/" -d '{"sensor_id":1,"time":1512102540000,"reading":16.24}'

Since we don't have real sensors, we will simulate the data by sending these types of requests. The simulated data and script that sends this data are incorporated in the code at https://github.com/pranav-shukla/learningelasticstack/tree/master/chapter-10/data.

If you are on Linux or macOS, open the terminal and change the directory to your Learning Elasticstack workspace that was checked out from GitHub.

Note

If your machine has a Windows operating system, you will need a Linux-like shell that supports the curl command and basic BASH (Bourne Again SHell) commands. As you may already have a GitHub workspace checked out, you may...