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Mastering Prometheus

You're reading from Mastering Prometheus

Product type Book

Published in Apr 2024

Publisher Packt

ISBN-13 9781805125662

Pages 310 pages

Edition 1st Edition

Languages

Concepts

Author (1):

William Hegedus

Table of Contents (21) Chapters

Preface

1. Part 1: Fundamentals of Prometheus

2. Chapter 1: Observability, Monitoring, and Prometheus

3. Chapter 2: Deploying Prometheus

4. Chapter 3: The Prometheus Data Model and PromQL

5. Chapter 4: Using Service Discovery

6. Chapter 5: Effective Alerting with Prometheus

7. Part 2: Scaling Prometheus

8. Chapter 6: Advancing Prometheus: Sharding, Federation, and High Availability

9. Chapter 7: Optimizing and Debugging Prometheus

10. Chapter 8: Enabling Systems Monitoring with the Node Exporter

11. Part 3: Extending Prometheus

12. Chapter 9: Utilizing Remote Storage Systems with Prometheus

13. Chapter 10: Extending Prometheus Globally with Thanos

14. Chapter 11: Jsonnet and Monitoring Mixins

15. Chapter 12: Utilizing Continuous Integration (CI) Pipelines with Prometheus

16. Chapter 13: Defining and Alerting on SLOs

17. Chapter 14: Integrating Prometheus with OpenTelemetry

18. Chapter 15: Beyond Prometheus

19. Index

Why subscribe?

20. Other Books You May Enjoy

Thanos Ruler

Thanos Ruler enables a unique feature for advanced use cases: evaluating Prometheus rules across multiple Prometheus instances. For example, consider a service you have deployed across multiple regions with a Prometheus deployment in each region responsible for monitoring its corresponding instance of the service. Thanos Ruler would enable you to evaluate Prometheus rules across all of those Prometheus instances to obtain a more holistic view of your service. This is great for measuring things such as service-level objectives (SLOs).

Thanos Ruler accomplishes this by connecting to one or more Thanos Query endpoints to run queries against. If more than one is specified, it performs round-robin balancing of queries. In other words, a rule’s query is not evaluated by every specified Query instance – only one is chosen and used per query.

Data produced by evaluating recording rules is stored in a local TSDB in the same manner that it would be on Prometheus...

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Authors (1)

William Hegedus

William Hegedus has worked in tech for over a decade in a variety of roles, culminating in site reliability engineering. He developed a keen interest in Prometheus and observability technologies during his time managing a 24/7 NOC environment and eventually became the first SRE at Linode, one of the foremost independent cloud providers. Linode was acquired by Akamai Technologies in 2022, and now Will manages a team of SREs focused on building the internal observability platform for Akamai's Connected Cloud. His team is responsible for a global fleet of Prometheus servers spanning over two dozen data centers and ingesting millions of data points every second, in addition to operating a suite of other observability tools. Will is an open source advocate and contributor who has contributed code to Prometheus, Thanos, and many other CNCF projects related to Kubernetes and observability. He lives in central Virginia with his wonderful wife, four kids, three cats, two dogs, and a bearded dragon.

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