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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

Big data and analytics

Big data analytics (BDA) is used to build competitive advantage, drive innovations, and enhance revenue. This capability offers a cost-effective cloud-based solution for data analytics. As big data grows in importance, organizations are striving to derive meaningful insight from this data. This is crucial to enabling an ability to respond to real business needs in a timely manner.

The following diagram illustrates a simplified enterprise cloud architecture for a BDA environment and contains three network zones: public, cloud service provider, and enterprise:

Figure 6: BDA solutions in the cloud

This architecture is similar to that of a data lake deployment. Both structured and non-structured data are used as sources. Data is then staged and transformed by data integration and stream computing engines, after which it is stored in various repositories. The...

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