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Learning Elastic Stack 6.0

You're reading from   Learning Elastic Stack 6.0 A beginner's guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787281868
Length 434 pages
Edition 1st Edition
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Authors (2):
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Sharath Kumar Sharath Kumar
Author Profile Icon Sharath Kumar
Sharath Kumar
Pranav Shukla Pranav Shukla
Author Profile Icon Pranav Shukla
Pranav Shukla
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Table of Contents (12) Chapters Close

Preface 1. Introducing Elastic Stack FREE CHAPTER 2. Getting Started with Elasticsearch 3. Searching-What is Relevant 4. Analytics with Elasticsearch 5. Analyzing Log Data 6. Building Data Pipelines with Logstash 7. Visualizing data with Kibana 8. Elastic X-Pack 9. Running Elastic Stack in Production 10. Building a Sensor Data Analytics Application 11. Monitoring Server Infrastructure

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...

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