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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

Pushing metrics

Despite the intense debate regarding push versus pull and the deliberate decision of using pull in the Prometheus server design, there are some legitimate situations where push is more appropriate.

One of those situations is batch jobs, though, for this statement to truly make sense, we need to clearly define what is considered a batch job. In this scope, a service-level batch job is a processing workload not tied to a particular instance, executed infrequently or on a schedule, and as such is not always running. This kind of job makes it very hard to generate successful scrapes if instrumented, which, as discussed previously in Chapter 5, Running a Prometheus Server, results in metric staleness, even if running for long enough to be scraped occasionally.

There are alternatives to relying on pushing metrics; for example, by using the textfile collector from node_exporter...

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