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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

Displaying category data with a bar chart visualization

We will now move on to talk about the bar chart visualization. This visualization is designed to display a simple bar chart reflecting the relationship between a set of categories and their associated values.

Basically, it works much like you would expect a Microsoft Excel spreadsheet graph to work by taking a series of text value pairs and graphing their relative sizes.

An example from the Grafana documentation using the TestData data source should make things clear. Here, we select the CSV file scenario and the browser_marketshare.csv file option. By setting the visualization to Bar chart, you should see a graph of various web browsers and their relative market share depicted as a bar chart.

Figure 8.7 – Browser market share bar chart

Figure 8.7 – Browser market share bar chart

Switching to Table view shows the dataset is nothing more than a series of browser/market share category/value pairs. Can we do something similar with...

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