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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

Empowering the database

Databases in OpenStack are considered one of the most critical shared infrastructure services that require additional attention. From a high-availability perspective, a multi-master cluster based on Galera MariaDB would satisfy the requirement for a resilient database setup would does not fully guarantee high-performing write or read transactions. The database performance becomes an issue when the cloud environment keeps growing without measuring the new load. Databases in OpenStack can grow massively and result in large tables. Each read or write request and API call increases the load, leading to common scenarios encountered with databases, such as database inconsistency. A tenant could fire an API request to disassociate a network interface from an instance but the record in the database would remain unchanged. A quick fix is to log in to the database and change the record manually, which can be an error-prone process. The other common pattern is multiple...

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