Book Image

Hands-On Infrastructure Monitoring with Prometheus

By : Joel Bastos, Pedro Araújo
Book Image

Hands-On Infrastructure Monitoring with Prometheus

By: Joel Bastos, Pedro Araújo

Overview of this book

Prometheus is an open source monitoring system. It provides a modern time series database, a robust query language, several metric visualization possibilities, and a reliable alerting solution for traditional and cloud-native infrastructure. This book covers the fundamental concepts of monitoring and explores Prometheus architecture, its data model, and how metric aggregation works. Multiple test environments are included to help explore different configuration scenarios, such as the use of various exporters and integrations. You’ll delve into PromQL, supported by several examples, and then apply that knowledge to alerting and recording rules, as well as how to test them. After that, alert routing with Alertmanager and creating visualizations with Grafana is thoroughly covered. In addition, this book covers several service discovery mechanisms and even provides an example of how to create your own. Finally, you’ll learn about Prometheus federation, cross-sharding aggregation, and also long-term storage with the help of Thanos. By the end of this book, you’ll be able to implement and scale Prometheus as a full monitoring system on-premises, in cloud environments, in standalone instances, or using container orchestration with Kubernetes.
Table of Contents (21 chapters)
Free Chapter
1
Section 1: Introduction
5
Section 2: Getting Started with Prometheus
11
Section 3: Dashboards and Alerts
15
Section 4: Scalability, Resilience, and Maintainability

Summary

In this chapter, we had the opportunity to experiment with a couple of useful tools to troubleshoot and analyze Prometheus configuration issues and performance. We started with promtool and went through all its available options; then, we used several endpoints and logs to ensure everything was working as expected. Finally, we described the tsdb tool and how it can be used to troubleshoot and pinpoint problems with cardinality and the churn of metrics and labels in our Prometheus database.

We can now step into recording and alerting rules, which will be covered in the next chapter.