Book Image

Architecting Cloud Computing Solutions

By : Kevin L. Jackson, Goessling
Book Image

Architecting Cloud Computing Solutions

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)
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

Data classification

Given the importance of protecting data at all times and in all places, the most critical data management task is data classification. Ideally, data is classified immediately upon creation by the entity that creates the data. If this is not done, data needs to be reviewed and classified by others based on the organization's information governance guidelines. Information governance represents the policies and procedures for managing all data and should include the following:

  • Information classification: High-level descriptions of critical information categories. The goal is to define high-level categories to determine appropriate security controls.
  • Information management policies: Policies that define allowed activities for different data types.
  • Location and jurisdictional policies: Where data can be located geographically. Legal and regulatory restrictions...