Book Image

Architecting Cloud Computing Solutions

By : Kevin L. Jackson, Scott Goessling
Book Image

Architecting Cloud Computing Solutions

By: Kevin L. Jackson, Scott Goessling

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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Table of Contents (24 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Prologue
Prologue
Ground rules
2
What is Cloud Computing?
What is Cloud Computing?
Cloud computing history
Cloud computing definition
Essential characteristics of cloud computing
Cloud computing operational models
Cloud service models
Cloud washing
Cloud computing taxonomy
Summary
3
Governance and Change Management
Governance and Change Management
IT governance
Implementation strategy
Change management
IT service management
Architecting cloud computing solution catalogs
Summary
4
Design Considerations
Design Considerations
Foundation for design – the thought process
Foundation for design – the cloud is economic, not technical
Foundation for design – the plans
Understand business strategy and goals
Summary
5
Business Drivers, Metrics, and Use Cases
Business Drivers, Metrics, and Use Cases
Return on Investment
ROI metrics
Key performance indicators
General use cases
Summary
6
Architecture Executive Decisions
Architecture Executive Decisions
Invert for insight – process
Real-time collaboration
Express challenges, not requirements
Automate and enable
Stop talking technology – Strategy
Economics, not pricing – Economics
Solutions, not servers – Technology
Lower costs can be bad for business – Risk
Adoption is optional – Culture
Technology for the executives
Summary
7
Architecting for Transition
Architecting for Transition
User characteristics
Application design
Application migration
Application workloads
Application categories
Application dependencies
Use of APIs
Technical architecture requirements
Legal/regulatory/security requirements
Business continuity and disaster recovery – BCDR
Economics
Organizational assessment
Summary
8
Baseline Cloud Architectures
Baseline Cloud Architectures
Baseline architecture types
OSI model and layer description
Complex architecture types
Architecting for hybrid clouds
Summary
9
Solution Reference Architectures
Solution Reference Architectures
Application security
Web application hosting
Public network
API management
E-commerce
Mobile
Enterprise social collaboration
Big data and analytics
Blockchain
Architecture for IoT
Architecture for hybrid integration
Summary
10
Cloud Environment Key Tenets and Virtualization
Cloud Environment Key Tenets and Virtualization
Elastic infrastructure
Elastic platform
Node-based availability
Environment-based availability
Technology service consumption model
Design balance
Virtualization
Summary
11
Cloud Clients and Key Cloud Services
Cloud Clients and Key Cloud Services
Cloud computing clients
IaaS
Communications services
Auditing
PaaS
Database
Integrated Development Environment
SaaS
Summary
12
Operational Requirements
Operational Requirements
Application programming interface
Common infrastructure file formats – VMs
Data and application federation
Deployment
Federated identity
Identity management
Portability and interoperability
Lifecycle management
Location awareness
Metering and monitoring
Open client
Availability
Privacy
Resiliency
Auditability
Performance
Management and governance
Transaction and concurrency across clouds
SLAs and benchmarks
Provider exit
Security
Security controls
Distributed computing reference model
Summary
13
CSP Performance
CSP Performance
CSP performance metrics
CSP benchmarks
Summary
14
Cloud Application Development
Cloud Application Development
Core application characteristics
Cloud application components
DevOps
Microservices and serverless architectures
Application migration planning
Summary
15
Data Security
Data Security
Data security life cycle
Data classification
Data privacy
Personally Identifiable Information – PII
Summary
16
Application Security
Application Security
The application security management process
Application security risks
Cloud computing threats
Summary
17
Risk Management and Business Continuity
Risk Management and Business Continuity
Framing risk
Assessing risk
Monitoring risk
Business continuity and disaster recovery
Summary
18
Hands-On Lab 1 – Basic Cloud Design (Single Server)
Hands-On Lab 1 – Basic Cloud Design (Single Server)
Hands-on labs and exercises
Summary
19
Hands-On Lab 2 – Advanced Cloud Design Insight
Hands-On Lab 2 – Advanced Cloud Design Insight
Data-driven design
All data is useful; maybe not
Burstorm lab 2 – advanced insight (NeBu Systems)
Burstorm lab 2 - accessing additional detail
Burstorm lab 2 – selecting for direct comparison
Summary
20
Hands-On Lab 3 – Optimizing Current State (12 Months Later)
Hands-On Lab 3 – Optimizing Current State (12 Months Later)
Visualizing current state data
Summary
21
Cloud Architecture – Lessons Learned
Cloud Architecture – Lessons Learned
22
Epilogue
Epilogue
23
Other Books You May Enjoy
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Key performance indicators

The key performance indicators (KPIs) are used to measure goal attainment. Advance agreement on the relevance of the following cloud computing KPIs can assist in solution/business alignment:

  • Time:
    • Availability versus recovery SLA: Indicator of availability performance compared to current levels
    • Timeliness: Degree of service responsiveness, which can be used to indicate rapidity of service choice determination
    • Throughput: Transaction latency or the volume per unit of time throughput which measures workload efficiency
    • Periodicity: Frequency of demand and supply activity or the amplitude of the demand and supply activity
    • Temporal: The event frequency to real-time action and outcome result
  • Cost:
    • Workload-predictable cost: Indicator of CAPEX cost of on-premises ownership versus cloud
    • Workload-variable cost: Indicator of OPEX cost for on-premises ownership...
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