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Solutions Architect's Handbook

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

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781838645649
Length 490 pages
Edition 1st Edition
Tools
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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 (18) Chapters Close

Preface 1. The Meaning of Solution Architecture 2. Solution Architects in an Organization FREE CHAPTER 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 and Machine Learning 14. Architecting Legacy Systems 15. Solution Architecture Document 16. Learning Soft Skills to Become a Better Solution Architect 17. Other Books You May Enjoy

Applying autoscaling

You learned about autoscaling in Chapter 4, Principles of Solution Architecture Design. You learned about predictive autoscaling and reactive autoscaling in the section titled Design for scale. The concept of autoscaling became popular with the agility provided by the cloud computing platform. Cloud infrastructure allows you to easily scale up or scale down your server fleet based on user or resource demand.

With a public cloud platform such as AWS, you can apply autoscaling at every layer of your architecture. In the presentation layer, you can scale the web server fleet based on your requests, and at the application layer based on the server's memory and CPU utilization. You can also perform scheduled scaling if you know the traffic pattern when the server load is going to increase. At the database level, autoscaling is available for relational databases such as Amazon Aurora Serverless and the Microsoft Azure SQL database. A NoSQL database such as Amazon DynamoDB...

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