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Hybrid Cloud Infrastructure and Operations Explained

You're reading from   Hybrid Cloud Infrastructure and Operations Explained Accelerate your application migration and modernization journey on the cloud with IBM and Red Hat

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781803248318
Length 344 pages
Edition 1st Edition
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Author (1):
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Mansura Habiba Mansura Habiba
Author Profile Icon Mansura Habiba
Mansura Habiba
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Table of Contents (16) Chapters Close

Preface 1. Part 1: Moving to Hybrid Cloud
2. Chapter 1: An Introduction to Hybrid Cloud Modernization FREE CHAPTER 3. Chapter 2: Understanding Cloud Modernization and and Innovation Fundamentals 4. Chapter 3: xploring Best Practices for the Cloud Journey 5. Part 2: Cloud-Native Methods, Practices, and Technology
6. Chapter 4: Developing Applications in a Cloud Native Way 7. Chapter 5: Exploring Application Modernization Essentials 8. Part 3: Elements of Embedded Linux
9. Chapter 6: Designing and Implementing Cloud Storage Services 10. Chapter 7: Designing and Implementing Networking in Hybrid Cloud Infrastructure 11. Chapter 8: Understanding Security in Action 12. Chapter 9: Designing a Resilient Platform for Cloud Migration 13. Chapter 10: Managing Operations in Hybrid Cloud Infrastructure 14. Other Books You May Enjoy Appendix A –Application Modernization and Migration Checklist

Chapter 6: Designing and Implementing Cloud Storage Services

Organizations are massively dependent on their business, analytics, and intelligence data. They are more pervasive when using production-level data. The consistency and continuous availability of data have become a critical mission. Some say that data is the most valuable resource for the next generation. Efficient data storage is essential for the success of modernization. An organization has different data formats, structures, sources, and relevance. A modern data storage solution must ensure complete life cycle governance for each data record regardless of the storage. Organizations bet heavily on their data and information management systems. In addition to real-time data management, resilient and secure storage, analytics, and data life cycle management are critical for organizations. Different business units of an organization often use the same data for their operations. So the same data record can have different life...

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