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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

Creating and managing an InfluxDB database

In this section, you will learn how to create a database, record values, and read them. But, before that, let’s look at some important concepts of InfluxDB databases.

Main concepts of InfluxDB databases

In this subsection, you will learn about the data structure of InfluxDB databases.

Organization

The InfluxDB organization is the same concept that we have seen for Grafana. An organization is a workspace where you can group users, dashboards, buckets, and tasks.

Bucket

In InfluxDB, the data is stored in buckets. A bucket consists of a database that is related to a retention period. The retention period establishes the time that each data point persists in the database. Also, each bucket belongs to an organization.

In the next table, you can see an example of an InfluxDB bucket. This table will be useful for defining the rest of the concepts:

Table 5.1 – InfluxDB bucket example

In...

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