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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 Storage – Block, Object, and File Shares

“Perseverance, secret of all triumphs.”

– Victor Hugo

The wide adoption of OpenStack services has increased user demand and, in turn, its array of capabilities, as demonstrated in the previous chapter with the compute service. This feature variation has also extended the OpenStack storage offering. Users running workloads on top of an OpenStack environment would require more than one storage type in addition to a robust and reliable storage solution out of the box. The spread of the software-defined storage (SDS) approach has enabled the OpenStack community to adopt more storage projects in which data storage is abstracted from physical storage. Storage systems can be built on top of commodity hardware, but that would require a good understanding of each storage project’s purpose and the architecture behind it before exposing the service to cloud users so that they can run workloads.

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