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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

Creating Insightful Dashboards

In the previous chapters, we’ve mostly concentrated on panels and how to use and configure them. We did this pretty much exclusively on the dashboard, which is the canvas that we display our panels on. In the next few chapters, we will zoom out from the panel level to the dashboard level. We’ll continue to learn more about various panels, but this will mostly be in the context of making our dashboard layouts and queries more efficient.

In this chapter, we’re going to take on the task of designing a couple of dashboards – one packed with information suitable for viewing on a workstation or laptop, and another containing only key pieces of information suitable for being viewed at a glance or from a distance.

In both cases, we’ll pick up some workflow techniques that can help speed up the often laborious task of creating, configuring, and laying out panels. We’ll also look at ways to take our numerical data...

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