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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

Reviewing the table visualization

Our first visualization is one of the least graphically interesting of the visualizations you will encounter in Grafana. We introduced it in the previous chapter, mostly to expedite the visualization of raw data. However, there is more to the table visualization, so let’s see how it is not simply a tool for displaying raw data (although it does do that too).

As you may know, the table visualization provides a spreadsheet-like data grid that is useful if you want to see the rows of actual data, along with any aggregations. When rolling up your data series into an aggregation or troubleshooting transformation functions, the table visualization can be more useful than the table view.

Comparing aggregations

To give you an idea of how the table visualization compares to the time series visualization legend table, let’s create a panel and have it display a set of common aggregations. Create a new panel and select Table from the visualization...

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