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Solutions Architect's Handbook

Solutions Architect's Handbook

By : Saurabh Shrivastava, Neelanjali Srivastav
4.4 (96)
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Solutions Architect's Handbook

Solutions Architect's Handbook

4.4 (96)
By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This handbook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish. This new edition features additional chapters on disruptive technologies, such as Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. The Solutions Architect's Handbook provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced design patterns, anti-patterns, and the cloud-native aspects of modern software design. By the end of this handbook, you'll have learned the techniques needed to create efficient architecture designs that meet your business requirements.
Table of Contents (22 chapters)
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20
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21
Index
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Technology selection for architectural reliability

Application reliability often looks at the availability of the application to serve users. Several factors go into making your application highly available. However, fault tolerance refers to the built-in redundancy of an application's components. Your application may be highly available but not be 100% fault-tolerant. For example, if your application needs four servers to handle the user request, you divided them between two data centers for high availability. If one site goes down, your system is still highly available at 50% capacity, but it may impact user performance expectations. However, if you create equal redundancy in both sites with four servers each, your application will not be only highly available but will be 100% fault-tolerant.

Suppose your application is not 100% fault-tolerant. In that case, you want to add automated scalability, defining how your application's infrastructure will respond to increased...

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