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
Exploring Logs with Grafana Loki

In this final chapter of Section 2: Real-World Grafana, we're going to shift gears a bit. So far, we've been operating under a dashboard-oriented paradigm in terms of how we use Grafana. This is not too unusual since Grafana has always been structured around the dashboard metaphor. Now, the development of Explore in Grafana 6 brings an alternative workflow – one that is data-driven and, dare I say it, exploratory.

Grafana really shines when working with numerical and some forms of textual data, but what if the data includes substantial amounts of log data? Every day, countless applications disgorge not only standard numerical metrics but also copious text logs. If you've ever enabled debug mode in an application, then you've seen how quickly a few meager kilobytes of information can quickly become a flood of gigabytes worth of repetitive, inscrutable gibberish...