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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

Benchmarking the Infrastructure – Evaluating Resource Capacity and Optimization

“Save for a rainy day.”

– Aesop

One of the major challenges when operating a growing infrastructure is keeping different services up and running within the expected defined Service Level Agreements (SLAs). During the course of production, unexpected issues might arise, even though a proper monitoring solution has been put in place to act proactively when certain situations are detected, such as scaling cluster nodes up and down to accommodate more tenant workloads. In a complex environment such as OpenStack, hitting system performance limits is considered a common issue due to its distributed and loose architecture. The more services join the ecosystem, the more performance issues will be raised. You might have a monitoring dashboard where all services are showing green but cloud tenant users are facing issues with spawning a Virtual Machine (VM) after several failed requests...

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