Book Image

Building IoT Visualizations using Grafana

By : Rodrigo Juan Hernández
5 (1)
Book Image

Building IoT Visualizations using Grafana

5 (1)
By: Rodrigo Juan Hernández

Overview of this book

Grafana is a powerful open source software that helps you to visualize and analyze data gathered from various sources. It allows you to share valuable information through unclouded dashboards, run analytics, and send notifications. Building IoT Visualizations Using Grafana offers how-to procedures, useful resources, and advice that will help you to implement IoT solutions with confidence. You’ll begin by installing and configuring Grafana according to your needs. Next, you’ll acquire the skills needed to implement your own IoT system using communication brokers, databases, and metric management systems, as well as integrate everything with Grafana. You’ll learn to collect data from IoT devices and store it in databases, as well as discover how to connect databases to Grafana, make queries, and build insightful dashboards. Finally, the book will help you implement analytics for visualizing data, performing automation, and delivering notifications. By the end of this Grafana book, you’ll be able to build insightful dashboards, perform analytics, and deliver notifications that apply to IoT and IT systems.
Table of Contents (21 chapters)
1
Part 1: Meeting Grafana
4
Part 2: Collecting Data from IoT Devices
8
Part 3: Connecting Data Sources and Building Dashboards
12
Part 4: Performing Analytics and Notifications
15
Part 5: Integrating Grafana with Other Platforms

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...