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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

Installing the Prometheus server

Our first task is to get a Prometheus server up and running so that we can start serving real data. Prometheus is a powerful open source time-series database and monitoring system originally developed by SoundCloud. It followed Kubernetes to become the second Cloud Native Computing Foundation graduating incubation project. Grafana, having partnered with the maintainers of Prometheus, includes the Prometheus data source as a first-class data source plugin. In this section, we will learn how to install Prometheus in a Docker container and then move on to configuring it.

Installing Prometheus from Docker

We’re going to start up Prometheus from Docker Compose and point it to a local configuration file. First, let’s create the following configuration file and save it to our local ch4/prometheus directory as prometheus.yml:

global:
    scrape_interval:      15s # By default, scrape targets...

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