Hands-On Infrastructure Monitoring with Prometheus
eBook Details:
- Paperback: 430 pages
- Publisher: WOW! eBook (May 31, 2019)
- Language: English
- ISBN-10: 1789612349
- ISBN-13: 978-1789612349
eBook Description:
Hands-On Infrastructure Monitoring with Prometheus: Build Prometheus ecosystems with metric-centric visualization, alerting, and querying
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.
- Grasp monitoring fundamentals and implement them using Prometheus
- Discover how to extract metrics from common infrastructure services
- Find out how to take full advantage of PromQL
- Design a highly available, resilient, and scalable Prometheus stack
- Explore the power of Kubernetes Prometheus Operator
- Understand concepts such as federation and cross-shard aggregation
- Unlock seamless global views and long-term retention in cloud-native apps with Thanos
By the end of this Hands-On Infrastructure Monitoring with Prometheus 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.