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Achieving Digital Transformation Using Hybrid Cloud

You're reading from   Achieving Digital Transformation Using Hybrid Cloud Design standardized next-generation applications for any infrastructure

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781837633692
Length 234 pages
Edition 1st Edition
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Authors (3):
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Praveen Rajagopalan Praveen Rajagopalan
Author Profile Icon Praveen Rajagopalan
Praveen Rajagopalan
Vikas G Vikas G
Author Profile Icon Vikas G
Vikas G
Ishu Verma Ishu Verma
Author Profile Icon Ishu Verma
Ishu Verma
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Toc

Table of Contents (12) Chapters Close

Preface 1. Part 1: Containers, Kubernetes, and DevOps for Hybrid Cloud
2. Chapter 1: Adopting the Right Strategy for Building a Hybrid Cloud FREE CHAPTER 3. Chapter 2: Dealing with VMs, Containers, and Kubernetes 4. Chapter 3: Provisioning Infrastructure with IaC 5. Chapter 4: Communicating across Kubernetes 6. Part 2: Design Patterns, DevOps, and GitOps
7. Chapter 5: Design Patterns for Telcos and Industrial Sectors 8. Chapter 6: Securing the Hybrid Cloud 9. Chapter 7: Hybrid Cloud Best Practices 10. Index 11. Other Books You May Enjoy

Protection of data

In the previous section, we looked at the network layer to understand the best practices along the journey of a request from the end user to the application. We also looked at other layers of the application stack and made sure each component of the hybrid cloud infrastructure was secure against any attack or infiltration. In this section, we are going to look at how we can protect the data that exists in all the components of the architecture. As with all other components, responsibility for securing data is also shared.

In our hybrid cloud infrastructure, there are many kinds of data that we need to protect. When we refer to data security, it’s not about just protecting the application data. The data in our architecture can be of many types:

  • Infrastructure and systems information
  • Network logs
  • Platform logs
  • Monitoring and metrics information
  • Application logs
  • Application data
  • Transactional data
  • Archived data
  • Analytical...
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