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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

Monitoring Data Streams with Grafana Alerts

In our last chapter, we explored the world of real-time data streaming by combining Telegraf’s input plugins to capture CPU metrics, and by simulating an IoT metrics pipeline with the addition of a Mosquitto broker and a simple Python script standing in for an IoT device.

As part of our three-chapter exploration of Grafana’s observability features, we’re going to move from simply streaming metrics to adding a key observability feature: the ability to trigger some form of an alert when certain conditions are met. Without the ability to monitor our systems and then alert when we detect anomalous behavior, we risk deterioration, instability, or even significant outages.

We’ll start out by discussing aspects of monitoring and observability with an eye toward good strategies for identifying the alert conditions we want to watch for. Next, we’ll talk about Grafana’s alerting features, especially the...

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