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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

Building numerical-based alerts

Grafana manages alerts using queries in the following data sources:

  • All the data sources integrated by Grafana Labs: InfluxDB, Graphite, Prometheus, Loki, Elasticsearch, Google Cloud Monitoring, Cloudwatch, Azure Monitor, MySQL, PostgreSQL, MSSQL, OpenTSDB, and Oracle. In all the cases, the alerting must be enabled.
  • All the community-developed data sources that have alerting enabled.

Besides data sources alerting, Grafana has its internal alerting metrics. You can see all the internal metrics in the following table:

Table 10.1 – Internal metrics for Grafana alerts

Time-series and tabular data

In this book, we have focused mainly on time-series data. When you use time-series data, each record must be reduced to a single number, so alert rules can be applied.

On the other hand, if you have tabular data, you only have to compare the value obtained by the query.

You can process alerts in tabular...

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