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Solutions Architect's Handbook - Third Edition

You're reading from  Solutions Architect's Handbook - Third Edition

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781835084236
Pages 578 pages
Edition 3rd Edition
Languages
Authors (2):
Saurabh Shrivastava Saurabh Shrivastava
Profile icon Saurabh Shrivastava
Neelanjali Srivastav Neelanjali Srivastav
Profile icon Neelanjali Srivastav
View More author details

Table of Contents (20) Chapters

Preface 1. Solutions Architects in Organizations 2. Principles of Solution Architecture Design 3. Cloud Migration and Cloud Architecture Design 4. Solution Architecture Design Patterns 5. Cloud-Native Architecture Design Patterns 6. Performance Considerations 7. Security Considerations 8. Architectural Reliability Considerations 9. Operational Excellence Considerations 10. Cost Considerations 11. DevOps and Solution Architecture Framework 12. Data Engineering for Solution Architecture 13. Machine Learning Architecture 14. Generative AI Architecture 15. Rearchitecting Legacy Systems 16. Solution Architecture Document 17. Learning Soft Skills to Become a Better Solutions Architect 18. Other Books You May Enjoy
19. Index

Think loose coupling

A traditional application is deployed on a tightly integrated server fleet where each server has a specific responsibility. Often, applications depend on multiple servers for completeness of functionality.

As shown in the following diagram, in a tightly coupled architecture, the web server fleet has a direct dependency on all application servers, and vice versa:

Figure 2.7: Tightly coupled architecture

In the preceding architecture diagram, if one application server goes down, then all web servers will start receiving errors, as the request will route to an unhealthy application server, which may cause a complete system failure. With tightly coupled architecture, if you want to scale by adding and removing servers, it requires lots of work, as all connections need to be set up appropriately.

With loose coupling, you can add an intermediate layer, such as a load balancer or a queue, which automatically handles failures or scaling for you.

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