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Hands-On Infrastructure Monitoring with Prometheus

You're reading from   Hands-On Infrastructure Monitoring with Prometheus Implement and scale queries, dashboards, and alerting across machines and containers

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789612349
Length 442 pages
Edition 1st Edition
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Authors (3):
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Pedro Araujo Pedro Araujo
Author Profile Icon Pedro Araujo
Pedro Araujo
Joel Bastos Joel Bastos
Author Profile Icon Joel Bastos
Joel Bastos
Pedro Ara√∫jo Pedro Ara√∫jo
Author Profile Icon Pedro Ara√∫jo
Pedro Ara√∫jo
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Toc

Table of Contents (21) Chapters Close

Preface 1. Section 1: Introduction FREE CHAPTER
2. Monitoring Fundamentals 3. An Overview of the Prometheus Ecosystem 4. Setting Up a Test Environment 5. Section 2: Getting Started with Prometheus
6. Prometheus Metrics Fundamentals 7. Running a Prometheus Server 8. Exporters and Integrations 9. Prometheus Query Language - PromQL 10. Troubleshooting and Validation 11. Section 3: Dashboards and Alerts
12. Defining Alerting and Recording Rules 13. Discovering and Creating Grafana Dashboards 14. Understanding and Extending Alertmanager 15. Section 4: Scalability, Resilience, and Maintainability
16. Choosing the Right Service Discovery 17. Scaling and Federating Prometheus 18. Integrating Long-Term Storage with Prometheus 19. Assessments 20. Other Books You May Enjoy

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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