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 programming interface

Organizations and practitioners alike need to understand and appreciate that cloud-based development and applications can vary from traditional or on-premise development. When considering an application for cloud deployment, one must remember that applications can be broken down into the following sub-components:

  • Data
  • Functions
  • Processes

These components can be further broken up, so that portions that have sensitive data run in a traditional data center and less sensitive data runs in a cloud computing environment. It is also important for developers to understand that, in many cloud environments, access is acquired through the means of an application programming interface (API). These APIs will consume tokens rather than traditional usernames and passwords. APIs can be broken down into two formats:

  • Representational state transfer (REST)
  • Simple...