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Hands-On Infrastructure Monitoring with Prometheus

Hands-On Infrastructure Monitoring with Prometheus

By : Joel Bastos, Pedro Araújo
2.8 (6)
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Hands-On Infrastructure Monitoring with Prometheus

Hands-On Infrastructure Monitoring with Prometheus

2.8 (6)
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)
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Section 1: Introduction
5
Section 2: Getting Started with Prometheus
11
Section 3: Dashboards and Alerts
15
Section 4: Scalability, Resilience, and Maintainability

Container exporter

In the constant pursuit for workload isolation and resource optimization, we witnessed the move from physical to virtualized machines using hypervisors. Using virtualization implies a certain degree of resource usage inefficiency, as the storage, CPU, and memory need to be allocated to each running VM whether it uses them or not. A lot of work has been done in this area to mitigate such inefficiencies but, in the end, fully taking advantage of system resources is still a difficult problem.

With the rise of operating-system-level virtualization on Linux (that is, the use of containers), the mindset changed. We no longer want a full copy of an OS for each workload, but instead, only properly isolated processes to do the desired work. To achieve this, and focusing specifically on Linux containers, a set of kernel features responsible for isolating hardware resources...

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