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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

Touring the Grafana panel UI

Here is a typical Grafana panel in edit mode:

Figure 3.1 – The edit panel UI

Figure 3.1 – The edit panel UI

The panel’s UI can be broken down into roughly three main functional areas as demarcated in the preceding screenshot:

  1. Panel display: A preview display and a time picker
  2. Options settings: The panel visualization type, styles, and links
  3. Panel tabs: Data query, data transformation, and alerting

Throughout this chapter, we will delve into each of these areas. First, we will look at the Query tab in the context of how to use it to produce graphed data. Then, we will explore how the various panel settings shape the look of the graph and how to set typical panel display features, such as a title. Finally, we will see how the Alert tab can establish monitoring rules for thresholds that, when exceeded, can trigger alerts. Of course, all of this is dependent on what we’ll create first – a simple data source...

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