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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

Connecting Grafana to a Prometheus Data Source

In previous chapters, we took a whirlwind tour of the Grafana UI. We looked at how graph panel visualizations query for datasets via data sources and how panels can be arranged to form dashboard pages.

In this chapter, we will begin to apply our newly gained skills to more practical considerations. We will use real data where possible, to try to analyze data with a focus on solving real-world scenarios and create the kind of comprehensive dashboards you would expect to see in a production environment.

Our first step in this journey begins (as always) with data. Here, we will configure a live database serving actual web service data (generated first by Prometheus, then by Grafana itself!). We’ll pull that data into Grafana as a data source, then we’ll use the Explore tool to get a feel for what kinds of metrics are available. We’ll also look at visualizing the data through a variety of queries. Finally, we’...

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