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.
Table of Contents (24 chapters)
Free Chapter
Hands-On Lab 1 – Basic Cloud Design (Single Server)
Hands-On Lab 3 – Optimizing Current State (12 Months Later)
Cloud Architecture – Lessons Learned

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...