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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

Routing alerts with notification policies

Now that we have our alert rules and our contact points, we’re able to link them up using our notification policies. One of the most common notification policies is to match up an alert severity with a particular contact point. That is why we initially set a severity label when we created our alert rules.

Now that we have our severity label, we can use it in a notification policy, so let’s set up such a policy. A notification policy can be as simple or complex as you want. The point is to use the information represented in the labels to determine which contact point(s) should receive your alert. It can be as simple as that.

For example, you may have a situation where you want all your low-severity (informational) incidents to go to an email address, but you want medium-severity (actionable, normal response) incidents to go to Slack or Discord, and your high-severity (actionable, immediate response) incidents to go to PagerDuty...

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