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

Application design

Many organizations want to leverage cloud computing as a means of reducing the operational costs associated with maintaining legacy applications. In these cases, the cloud solution architect is faced with an application migration task where application maturity may become a decisive factor in whether a cloud environment is beneficial or detrimental. Application characteristics could also profoundly influence the decision regarding CSP choice. Many legacy applications, for example, are tightly coupled to data, specific processes, and other related applications. This makes them very difficult to transition to a commodity-based technology service model. Embedded dependencies and unusually undocumented assumptions don't easily fit into a strictly standardized and not easily tailored environment.

Cloud-friendly applications are loosely coupled, with RESTful...