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Solutions Architect's Handbook

Solutions Architect's Handbook

By : Saurabh Shrivastava, Neelanjali Srivastav
4.7 (59)
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Solutions Architect's Handbook

Solutions Architect's Handbook

4.7 (59)
By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Master the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.
Table of Contents (20 chapters)
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18
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19
Index

Building Domain-Driven Design (DDD)

Domain-Driven Design (DDD) is a methodology and set of practices aimed at understanding and solving complexity at the heart of software. This approach is used to design and model software based on the “domain,” or the business’s core logic and key concepts. Using a common language and dividing the system into clear contexts, DDD promotes a deep understanding of the problem space and leads to a design that accurately reflects the underlying business needs. It’s particularly valuable in complex domains, where aligning the software closely with the real-world concepts it represents is vital.

Let’s delve into DDD using a concrete example and use case. For this, we’ll consider the domain of a Healthcare Management System (HMS). Imagine we’re developing a system that manages patient records, appointments, medical treatments, billing, etc. for a healthcare provider. Here’s how we could apply DDD...

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