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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

Summary

We’ve reached the end of Chapter 13, Exploring Log Data with Grafana’s Loki. In this chapter, we learned how to use Explore with the Loki data source to perform ad hoc analysis of logs and aggregated log metrics. We deployed a Loki pipeline to aggregate filesystem log files and the logs generated by our Docker containers. We used Prometheus to collect dozens of metrics about those container services. Finally, using the Split feature, we made side-by-side comparisons of both log and service metrics.

With that, we’ve also reached the end of Part 2 – Real-World Grafana. In Part 3 – Managing Grafana, we’ll step out of our role as an end user of Grafana and into that of an administrator. We’ll learn about how to manage dashboards, users, and teams. We’ll also learn how to secure the Grafana server by authenticating our users with services such as OAuth2 and LDAP. Finally, we’ll explore the rapidly expanding world...

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