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Python Architecture Patterns

You're reading from   Python Architecture Patterns Master API design, event-driven structures, and package management in Python

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801819992
Length 594 pages
Edition 1st Edition
Languages
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Table of Contents (23) Chapters Close

Preface 1. Introduction to Software Architecture FREE CHAPTER 2. Part I: Design
3. API Design 4. Data Modeling 5. The Data Layer 6. Part II: Architectural Patterns
7. The Twelve-Factor App Methodology 8. Web Server Structures 9. Event-Driven Structures 10. Advanced Event-Driven Structures 11. Microservices vs Monolith 12. Part III: Implementation
13. Testing and TDD 14. Package Management 15. Part IV: Ongoing operations
16. Logging 17. Metrics 18. Profiling 19. Debugging 20. Ongoing Architecture 21. Other Books You May Enjoy
22. Index

Scalability

Cloud systems are expected to behave correctly under high loads, or at least to adjust between different loads. This requires the software to be scalable. Scalability is the ability of the software to be allowed to grow and accept more requests, mostly by increasing resources.

There are two types of scalability:

  • Vertical scalability: Increasing resources to each node, making them more powerful. This is the equivalent of buying a more powerful computer; adding more RAM, more hard drive space, a faster CPU…
  • Horizontal scalability: Adding more nodes to the system, without them being necessarily more powerful. For example, instead of having two web servers, increase them to five.

In general, horizontal scalability is considered more desirable. In a cloud system, the capacity of adding and removing nodes can be automated, allowing for deployments to adjust automatically based on the number of current requests flowing into the system. Compared...

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