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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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Toc

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

Distributed relational databases

As we've discussed before, relational databases weren't designed with scalability in mind. They are great for enforcing strong data assurances, including ACID transactions, but their preferred way of operating is through a single server.

This can impose limitations in terms of how big an application can be using relational databases.

It is worth noting that a database server can grow vertically, which means using better hardware. Increasing the capacity of a server or replacing it with a bigger one is an easier solution for high demand than applying some of these techniques, but there's a limit. In any case, please double-check that the expected size is big enough. These days, there are servers in cloud providers that reach 1 terabyte of RAM or more. That's enough to cover a huge number of cases.

Note that these techniques are useful to grow a system after it is up and running, and can be added to most usages...

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