National data sovereignty laws are expanding globally. These new requirements not only apply to how an organization handles data but it also equally apply to data managed on the organization's behalf. The associated requirement may include legal restrictions on the location of the physical server when organizational data is present. Meeting location-dependent legal requirements may require the use of APIs that determine the location of the physical hardware associated with the delivery of all cloud services.
Architecting Cloud Computing Solutions
By :
Architecting Cloud Computing Solutions
By:
Overview of this book
Cloud adoption is a core component of digital
transformation. Scaling the IT environment,
making it resilient, and reducing costs are
what organizations want. Architecting Cloud
Computing Solutions presents and explains
critical cloud solution design considerations
and technology decisions required to
be made for deploying the right cloud
service and deployment models,
based on your business and
technology service requirements.
This book starts with the fundamentals
of cloud computing and its architectural
concepts. It then walks you through
cloud service models (IaaS, PaaS, and
SaaS), deployment models (public,
private, community, and hybrid)
and implementation options
(enterprise, MSP, and CSP) to explain
and describe the key considerations and
challenges organizations face during cloud
migration. Later, this book delves into how to
leverage DevOps, Cloud-Native, and serverless
architectures in your cloud environment
and presents industry best practices for
scaling your cloud environment. Finally,
this book addresses in depth how to
manage essential cloud technology
service components, such as data storage,
security controls, and disaster recovery.
By the end of this book, you will have
mastered all the design considerations and
operational trades required to adopt cloud
services, no matter which cloud service
provider you choose.
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Current Title:
Architecting Cloud Computing Solutions
Table of Contents (24 chapters)
Preface
What is Cloud Computing?
Governance and Change Management
Design Considerations
Business Drivers, Metrics, and Use Cases
Architecture Executive Decisions
Architecting for Transition
Baseline Cloud Architectures
Solution Reference Architectures
Cloud Environment Key Tenets and Virtualization
Cloud Clients and Key Cloud Services
Operational Requirements
CSP Performance
Cloud Application Development
Data Security
Application Security
Risk Management and Business Continuity
Hands-On Lab 1 – Basic Cloud Design (Single Server)
Hands-On Lab 2 – Advanced Cloud Design Insight
Hands-On Lab 3 – Optimizing Current State (12 Months Later)
Cloud Architecture – Lessons Learned
Epilogue
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