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Learn Grafana 10.x

Learn Grafana 10.x

By : Salituro
3 (3)
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Learn Grafana 10.x

Learn Grafana 10.x

3 (3)
By: Salituro

Overview of this book

Get ready to unlock the full potential of the open-source Grafana observability platform, ideal for analyzing and monitoring time-series data with this updated second edition. This beginners guide will help you get up to speed with Grafana’s latest features for querying, visualizing, and exploring logs and metrics, no matter where they are stored. Starting with the basics, this book demonstrates how to quickly install and set up a Grafana server using Docker. You’ll then be introduced to the main components of the Grafana interface before learning how to analyze and visualize data from sources such as InfluxDB, Telegraf, Prometheus, Logstash, and Elasticsearch. The book extensively covers key panel visualizations in Grafana, including Time Series, Stat, Table, Bar Gauge, and Text, and guides you in using Python to pipeline data, transformations to facilitate analytics, and templating to build dynamic dashboards. Exploring real-time data streaming with Telegraf, Promtail, and Loki, you’ll work with observability features like alerting rules and integration with PagerDuty and Slack. As you progress, the book addresses the administrative aspects of Grafana, from configuring users and organizations to implementing user authentication with Okta and LDAP, as well as organizing dashboards into folders, and more. By the end of this book, you’ll have gained all the knowledge you need to start building interactive dashboards.
Table of Contents (23 chapters)
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1
Part 1 – Getting Started with Grafana
5
Part 2 – Real-World Grafana
16
Part 3 – Managing Grafana

Adding visual interest with a gauge

The gauge visualization is intended to emulate the look of a semicircular analog graph, and it comes with a comprehensive set of controls for text and color. To get a feel for using this gauge, let’s set up a set of wind-speed gauges, one for each station.

First, let’s set up a query for the wind speed for all the stations. We’ll use the math() operator to convert the value from the native meters per second setting to kilometers per hour:

  • SELECT "value" / 1000 * 3600 FROM "windSpeed" WHERE $timeFilter GROUP BY "station"::tag
  • Format as: Time series
  • Query options | Min interval: 1m

Now that we have a query, let’s start by configuring the look of our visualization. We begin with Value options:

  • Value options | Show: Calculate
  • Value options | Calculate: Last *

We’ll set up the gauge settings, but let’s go over them first.

Exploring the...

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