Book Image

Learn Grafana 7.0

By : Eric Salituro
Book Image

Learn Grafana 7.0

By: Eric Salituro

Overview of this book

Grafana is an open-source analytical platform used to analyze and monitoring time-series data. This beginner's guide will help you get to grips with Grafana's new features for querying, visualizing, and exploring metrics and logs no matter where they are stored. The book begins by showing you how to install and set up the Grafana server. You'll explore the working mechanism of various components of the Grafana interface along with its security features, and learn how to visualize and monitor data using, InfluxDB, Prometheus, Logstash, and Elasticsearch. This Grafana book covers the advanced features of the Graph panel and shows you how Stat, Table, Bar Gauge, and Text are used. You'll build dynamic dashboards to perform end-to-end analytics and label and organize dashboards into folders to make them easier to find. As you progress, the book delves into the administrative aspects of Grafana by creating alerts, setting permissions for teams, and implementing user authentication. Along with exploring Grafana's multi-cloud monitoring support, you'll also learn about Grafana Loki, which is a backend logger for users running Prometheus and Kubernetes. By the end of this book, you'll have gained all the knowledge you need to start building interactive dashboards.
Table of Contents (19 chapters)
1
Getting Started with Grafana
5
Real-World Grafana
13
Managing Grafana
Working with Advanced Dashboard Features

By now, you're probably feeling pretty comfortable with Grafana but have legitimate concerns about the effort involved. You may be thinking that the possibility of writing a lot of code to handle ETL tasks might eat into your time budget for building the dashboards. Perhaps the number of panels you will have to configure and organize on multiple dashboards seems potentially tedious, error-prone work.

In this chapter, we're going to look at how to reduce the ETL burden using off-the-shelf tools, as well as how to use templates to fill a dashboard with variants using only a single panel. We'll also show you how annotations make it possible to drill down into aggregated data in order to examine individual data points. Then, we'll take our dashboards and link them together with simple UI elements. Finally, we'll look at strategies for sharing our dashboards...