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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

Writing data in an OpenTSDB database

In this section, we will see the data schema of an OpenTSDB database. You will also learn how to write data.

Data schema

The data schema of OpenTSDB is based on the following elements:

  • metric: This is a name that is used to identify TSD, for example, lab.freezer.sensor, server.cpu.user, or asset.location.
  • timestamp: As its name implies, this is a timestamp in seconds or milliseconds.
  • value: This is a numeric value that represents some variable and it’s stored associated with a timestamp. It can be an integer or a floating-point value.
  • tags: These are a key-value pair. All the data points must have at least one tag assigned.

Let’s see how metrics and tags work together.

Imagine that you have a fleet of trucks and you want to store data on location, speed, and fuel consumption. Then, you can create the truck.location, truck.speed, and truck.fuel metrics.

But, how do you identify each of the trucks...

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