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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

Chapter 5, Running a Prometheus Server

  1. Then, scrape_timeout will be set to its default – 10 seconds.
  2. Besides restarting, the configuration file can be reloaded by either sending a SIGHUP signal to the Prometheus process or sending an HTTP POST request to the /-/reload endpoint if --web.enable-lifecycle is used at startup.
  3. Prometheus will look back up to five minutes by default, unless it finds a stale marker, in which case it will immediately consider the series stale.
  1. While relabel_configs is used to rewrite the target list before the scrape is performed, metric_relabel_configs is used to rewrite labels or drop samples after the scrape has occurred.
  2. As we're scraping through a Kubernetes service (which is similar in function to a load balancer), the scrapes will hit only a single instance of the Hey application at a time.
  3. Due to the ephemeral nature of Kubernetes...
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