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Building IoT Visualizations using Grafana

You're reading from   Building IoT Visualizations using Grafana Power up your IoT projects and monitor with Prometheus, LibreNMS, and Elasticsearch

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781803236124
Length 360 pages
Edition 1st Edition
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Author (1):
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Rodrigo Juan Hernandez Rodrigo Juan Hernandez
Author Profile Icon Rodrigo Juan Hernandez
Rodrigo Juan Hernandez
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Meeting Grafana
2. Chapter 1: Getting Started with Grafana FREE CHAPTER 3. Chapter 2: Exploring Grafana 4. Part 2: Collecting Data from IoT Devices
5. Chapter 3: Connecting IoT Devices 6. Chapter 4: Data Sources for Grafana 7. Chapter 5: Using Time Series Databases 8. Part 3: Connecting Data Sources and Building Dashboards
9. Chapter 6: Getting Data and Building Dashboards 10. Chapter 7: Managing Plugins 11. Chapter 8: Organizing and Managing Dashboards 12. Part 4: Performing Analytics and Notifications
13. Chapter 9: Performing Analytics in Grafana 14. Chapter 10: Alerting and Notifications in Grafana 15. Part 5: Integrating Grafana with Other Platforms
16. Chapter 11: Using Grafana with Prometheus 17. Chapter 12: Using Grafana with OpenSearch 18. Chapter 13: Showing Data from LibreNMS in Grafana 19. Chapter 14: Integrations for Grafana Cloud 20. Other Books You May Enjoy

Feeding Prometheus with data

In this section, you will learn how to ingest data into Prometheus. Let’s look at all the different options that you have.

Prometheus clients

You can use client libraries to expose metrics on an endpoint that can be scraped by Prometheus using HTTP requests.

There are several language options you can select. You can find a complete list at https://prometheus.io/docs/instrumenting/clientlibs/.

You should choose the language that you used to implement your IoT application in your gateway or IoT device.

The idea behind the client libraries is to implement an endpoint that gets all the metrics that you need from the host and exposes them using HTTP. Then, Prometheus can scrap them by connecting to the endpoint through HTTP requests.

The client will serve the metrics using the metric types that we looked at in the previous section.

Exporters

You can expose metrics from endpoints using exporters. These are pieces of software that...

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