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
1
Prologue
18
Hands-On Lab 1 – Basic Cloud Design (Single Server)
20
Hands-On Lab 3 – Optimizing Current State (12 Months Later)
21
Cloud Architecture – Lessons Learned
22
Epilogue

CSP Performance

Cloud service providers (CSPs) are not all the same. Service performance from the same service provider can vary from day to day. From a consumer point of view, critical performance characteristics vary based on the cloud service model. For end users, SaaS performance measures are perceived as business transaction response times and throughput, technical service reliability and availability, and application scalability. PaaS performance measures, on the other hand, are indirectly perceived by users and defined as throughput, transaction response times, technical service reliability, availability, and the scalability of the middleware. Infrastructure performance, capacity, reliability, availability, and scalability typically define IaaS performance.

In this chapter, we will cover the following topics:

  • CSP performance metrics
  • CSP benchmarks
...