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

Burstorm lab 2 – advanced insight (NeBu Systems)

The second part of this lab is diving into additional data and insights that can help shape next-level decisions that may include the following:

  • Infrastructure choices
  • Application stacking
  • Application layout
  • Infrastructure footprint
  • Various types of optimization that become interesting due to data and insight revealed

Based on the response data, next-level decisions can be made to quickly refine solution choices and turn them into building blocks for the final solution design. In the next series of steps, each change will continue to expose deeper-level details that can confirm choices or highlight potential alternatives that may provide a better fit with strategy, technology, and economic requirements.