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

All data is useful; maybe not

Cloud transitions fail most often because the data used is not the most relevant, both when designing the solution and managing change. What does relevant data mean? How do we know what data is relevant and what is not? How should data be triaged and prioritized? Relevance implies that there is a level of focus brought by comparing data to a set of criteria. The criteria used must eliminate extraneous noise and unwanted distractions. Throughout this book, it is often stated that the simultaneous alignment of strategy, economics, technology, and risk is critical to success. These four segments become the criteria for both filtering and communicating solution data. To correctly triage and prioritize information, the data must have a significant impact across all four segments. Any data that does not impact all four segments simultaneously should be...