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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 13, Scaling and Federating Prometheus

  1. You should consider sharding when you're sure a single instance isn't enough to handle the load, and you can't run it with more resources.
  2. Vertical sharding is used to split scrape workload according to responsibility (for example, by function or team), where each Prometheus shard scrapes different jobs. Horizontal sharding splits loads from a single scrape job into multiple Prometheus instances.
  3. To reduce the ingestion load on a Prometheus instance, you should consider dropping unnecessary metrics through the use of metric_relabel_configs rules, or by increasing the scrape interval so that fewer samples are ingested in total.
  4. Instance-level Prometheus servers should federate job-level aggregate metrics. Job-level Prometheus servers should federate datacenter-level aggregate metrics.
  5. You might need to use metrics only...
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