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Solutions Architect's Handbook

You're reading from   Solutions Architect's Handbook Kick-start your career with architecture design principles, strategies, and generative AI techniques

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781835084236
Length 578 pages
Edition 3rd Edition
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Authors (2):
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Neelanjali Srivastav Neelanjali Srivastav
Author Profile Icon Neelanjali Srivastav
Neelanjali Srivastav
Saurabh Shrivastava Saurabh Shrivastava
Author Profile Icon Saurabh Shrivastava
Saurabh Shrivastava
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Toc

Table of Contents (20) Chapters Close

Preface 1. Solutions Architects in Organizations 2. Principles of Solution Architecture Design FREE CHAPTER 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

Building a cache-based architecture

Caching involves temporarily storing data or files in an intermediate location positioned between the requester and the permanent storage. This practice is aimed at speeding up future requests and minimizing network bandwidth usage. Caching increases application speed and lowers cost. It allows you to reuse previously retrieved data. To increase application performance, caching can be applied at various layers of the architecture, such as the web layer, application layer, data layer, and network layer.

Typically, the server’s random-access memory (RAM) and in-memory cache engines are utilized to support application caching. However, if caching is coupled to a local server, then the cache will not persist data in case of a server crash. Most applications are in a distributed environment, so it’s better to have a dedicated caching layer that should be independent of the application life cycle. If you apply horizontal scaling to your...

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