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Mastering OpenStack

You're reading from   Mastering OpenStack Implement the latest techniques for designing and deploying an operational, production-ready private cloud

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835468913
Length 392 pages
Edition 3rd Edition
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Author (1):
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Omar Khedher Omar Khedher
Author Profile Icon Omar Khedher
Omar Khedher
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Architecting the OpenStack Ecosystem
2. Chapter 1: Revisiting OpenStack – Design Considerations FREE CHAPTER 3. Chapter 2: Kicking Off the OpenStack Setup – The Right Way (DevSecOps) 4. Chapter 3: OpenStack Control Plane – Shared Services 5. Chapter 4: OpenStack Compute – Compute Capacity and Flavors 6. Chapter 5: OpenStack Storage – Block, Object, and File Shares 7. Chapter 6: OpenStack Networking – Connectivity and Managed Service Options 8. Part 2: Operating the OpenStack Cloud Environment
9. Chapter 7: Running a Highly Available Cloud – Meeting the SLA 10. Chapter 8: Monitoring and Logging – Remediating Proactively 11. Chapter 9: Benchmarking the Infrastructure – Evaluating Resource Capacity and Optimization 12. Part 3: Extending the OpenStack Cloud
13. Chapter 10: OpenStack Hybrid Cloud – Design Patterns 14. Chapter 11: A Hybrid Cloud Hyperscale Use Case – Scaling a Kubernetes Workload 15. Index 16. Other Books You May Enjoy

OpenStack workload monitoring

The next remaining part of the operational task of cloud operators is to provide monitoring support to the running workloads of the OpenStack tenants. Operators should also monitor some generic metrics of the provisioned resources by tenants to anticipate quota limitations and gain insightful analysis of the infrastructure usage. This can be achieved by using the same toolsets covered in the previous section. Workload monitoring focuses more on the resources deployed by each tenant – more precisely, the Nova instances. Prometheus is capable of querying the Nova API, and along with its labeling configuration settings, you should be able to filter and organize a list of thousands of instances into a set of scraped targets. In the previous section, the Prometheus Libvirt exporter was deployed in each compute node (see Step 8 of the Deploying infrastructure monitoring section). Thus, there is no need to reconfigure any part of the infrastructure hosts...

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