Cloud transitions fail most often because the data used is not the most relevant, both when designing the solution and managing change. What does relevant data mean? How do we know what data is relevant and what is not? How should data be triaged and prioritized? Relevance implies that there is a level of focus brought by comparing data to a set of criteria. The criteria used must eliminate extraneous noise and unwanted distractions. Throughout this book, it is often stated that the simultaneous alignment of strategy, economics, technology, and risk is critical to success. These four segments become the criteria for both filtering and communicating solution data. To correctly triage and prioritize information, the data must have a significant impact across all four segments. Any data that does not impact all four segments simultaneously should be...
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.
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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Customer Reviews