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Architecting Cloud Computing Solutions

Architecting Cloud Computing Solutions

By : Kevin L. Jackson, Goessling
4.6 (5)
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Architecting Cloud Computing Solutions

Architecting Cloud Computing Solutions

4.6 (5)
By: Kevin L. Jackson, 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)
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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

Data-driven design

In the previous chapter, complexity was painted somewhat as a villain. Complexity itself is not the villain; complexity without data to support it is. While implementing cool features based on the data outlined in successful stories within popular blog posts and magazine articles could be considered data-driven, it is not really a data-driven approach that leads to success most often. Transformations are hard enough without trying to recreate someone else's story. Why are transformations so hard? Cloud is supposed to make things much easier to align and implement.

How tough can cloud transformation be? Choose the number of cores and RAM. Add storage. Pick a virtual server with the desired OS. Give it some bandwidth and start loading applications. Easy. Even easier: put it in a container. It spins up fast, is very portable and cheap. Awesome. Wait, better...

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