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

Visualizing current state data

Current state data is typically spread across different locations, several different tools, and often many curators. A couple of the many challenges with trying to work with current state data is that the data itself is not interactive or insightful. Collections of data do not really do anything helpful until comparisons are made. Comparing data is revealing and insightful. As an example, a lease can provide details regarding how much is being paid and the amount of time left on the lease. It would be much more helpful to compare the lease information to current market costs and other solution options. It may be beneficial to terminate the lease early and refresh technology through a more cost-effective current solution or better simply benefit from fast-moving markets and current market economics, as an example.

Visualizing data is the quickest...