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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

From logs to metrics

In a perfect world, all applications and services would have been properly instrumented and we would only be required to collect metrics to gain visibility. External exporters are a stop-gap approach that simplifies our work, but not every service exposes its internal state through a neat API. Older daemon software, such as Postfix or ntpd, makes use of logging to relay their inner workings. For these cases, we're left with two options: either instrument the service ourselves (which isn't possible for closed source software) or rely on logs to gather the metrics we require. The next topics go over the available options for extracting metrics from logs.

mtail

Developed by Google, mtail is a very...

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