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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 William Hegedus
Profile icon 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 20. Other Books You May Enjoy

Using Grafana Mimir

Grafana Labs’ Mimir project is a relative newcomer to the remote storage Prometheus ecosystem. Announced in 2022, Mimir is the spiritual successor to the popular Cortex project, which is a Cloud Native Computing Foundation (CNCF)-sponsored project (as with Prometheus, Thanos, Kubernetes, and many more). It aims to be the most scalable and performant option available for time series storage.

Important note

Is Cortex dead? Cortex is still under active development and is used extensively by numerous companies. If Mimir intrigues you, but its AGPLv3 license is off-putting, try out Cortex! It’ll still be a mostly similar experience and architecture.

Note that Mimir does not mention being the most efficient in its goals. If you approach Mimir thinking that you are going to see the same massive gains in memory and storage efficiency as VictoriaMetrics, you will be disappointed. However, you still can expect its storage efficiency to be about as good...

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