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Solutions Architect's Handbook

You're reading from   Solutions Architect's Handbook Kick-start your career as a solutions architect by learning architecture design principles and strategies

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801816618
Length 590 pages
Edition 2nd Edition
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Authors (2):
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Saurabh Shrivastava Saurabh Shrivastava
Author Profile Icon Saurabh Shrivastava
Saurabh Shrivastava
Neelanjali Srivastav Neelanjali Srivastav
Author Profile Icon Neelanjali Srivastav
Neelanjali Srivastav
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Toc

Table of Contents (22) Chapters Close

Preface 1. The Meaning of Solution Architecture FREE CHAPTER 2. Solution Architects in an Organization 3. Attributes of the Solution Architecture 4. Principles of Solution Architecture Design 5. Cloud Migration and Hybrid Cloud Architecture Design 6. Solution Architecture Design Patterns 7. Performance Considerations 8. Security Considerations 9. Architectural Reliability Considerations 10. Operational Excellence Considerations 11. Cost Considerations 12. DevOps and Solution Architecture Framework 13. Data Engineering for Solution Architecture 14. Machine Learning Architecture 15. The Internet of Things Architecture 16. Quantum Computing 17. Rearchitecting Legacy Systems 18. Solution Architecture Document 19. Learning Soft Skills to Become a Better Solution Architect 20. Other Books You May Enjoy
21. Index

Building a cache-based architecture

Caching is the process of temporarily storing data or files in an intermediary location between the requester and the permanent storage, for the purpose of making future requests faster and reducing network throughput. Caching increases the application speed and lowers the 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.

Normally, 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 be persisting data, in case of a server crash. Now, most of the 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 applied horizontal scaling...

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