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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
Other Books You May Enjoy
19
Index

Building queue-based architecture

In the previous sections, you learned about microservice design using RESTful architecture. The RESTful architecture helps your microservice to be easily discoverable, but what happens if your service goes down? RESTful is a contemporary architecture where your client service waits for a response from the host service, which means that the HTTP request blocks the API. Sometimes, your information may be lost due to the unavailability of a downstream service. You must implement some retry logic to retain your information in such cases.

A queue-based architecture solves this problem by adding message queues between services, which hold information on behalf of services. The queue-based architecture provides fully asynchronous communication and a loosely coupled architecture. In a queue-based architecture, your information is still available in the message. If a service crashes, the message can get the process as soon as the service becomes available...

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