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

Product type Paperback

Published in May 2019

Publisher Packt

ISBN-13 9781789612349

Length 442 pages

Edition 1st Edition

Tools

Prometheus

Concepts

Application Monitoring

Authors (3):

Pedro Araujo

Joel Bastos

Pedro Ara√∫jo

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Table of Contents (21) Chapters

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

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Questions

What happens if scrape_timeout is not declared explicitly?
How can Prometheus be made to reload its configuration file?
How far back does Prometheus look for data before considering a time series stale?
What is the difference between relabel_configs and metric_relabel_configs?
On the static deployment example, we added a Kubernetes service for the Hey application as a target in Prometheus. What problems will arise if we increase the number of Hey pods?
Does static Prometheus static configuration make sense on a Kubernetes environment? Why?
In which Kubernetes facilities does the Prometheus Operator rely upon to achieve its goals?

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Authors (2)

Joel Bastos

Joel Bastos is an open source supporter and contributor, with a background in infrastructure security and automation. He is always striving for the standardization of processes, code maintainability, and code reusability. He has defined, led, and implemented critical, highly available, and fault-tolerant enterprise and web-scale infrastructures in several organizations, with Prometheus as the cornerstone. He has worked at two unicorn companies in Portugal and at one of the largest transaction-oriented gaming companies in the world. Previously, he has supported several governmental entities with projects such as the Public Key Infrastructure for the Portuguese citizen card. You can find his blogs at kintoandar and on Twitter with the handle @kintoandar.

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Pedro Araújo

Pedro Arajo is a site reliability and automation engineer and has defined and implemented several standards for monitoring at scale. His contributions have been fundamental in connecting development teams to infrastructure. He is highly knowledgeable about infrastructure, but his passion is in the automation and management of large-scale, highly-transactional systems. Pedro has contributed to several open source projects, such as Riemann, OpenTSDB, Sensu, Prometheus, and Thanos. You can find him on Twitter with the handle @phcrva.

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