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Software Architecture with C++

You're reading from   Software Architecture with C++ Design modern systems using effective architecture concepts, design patterns, and techniques with C++20

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781838554590
Length 540 pages
Edition 1st Edition
Languages
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Authors (2):
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Adrian Ostrowski Adrian Ostrowski
Author Profile Icon Adrian Ostrowski
Adrian Ostrowski
Piotr Gaczkowski Piotr Gaczkowski
Author Profile Icon Piotr Gaczkowski
Piotr Gaczkowski
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Table of Contents (24) Chapters Close

Preface 1. Section 1: Concepts and Components of Software Architecture
2. Importance of Software Architecture and Principles of Great Design FREE CHAPTER 3. Architectural Styles 4. Functional and Nonfunctional Requirements 5. Section 2: The Design and Development of C++ Software
6. Architectural and System Design 7. Leveraging C++ Language Features 8. Design Patterns and C++ 9. Building and Packaging 10. Section 3: Architectural Quality Attributes
11. Writing Testable Code 12. Continuous Integration and Continuous Deployment 13. Security in Code and Deployment 14. Performance 15. Section 4: Cloud-Native Design Principles
16. Service-Oriented Architecture 17. Designing Microservices 18. Containers 19. Cloud-Native Design 20. Assessments 21. About Packt 22. Other Books You May Enjoy Appendix A

Bandwidth is infinite

When adding a new service to your architecture, make sure you take note of how much traffic it's going to use. Sometimes you might want to reduce the bandwidth by compressing the data or by introducing a throttling policy.

This fallacy also has to do with mobile devices. If the signal is weak, often the network will become the bottleneck. This means the amount of data a mobile app uses should generally be kept low. Using the Backends for Frontends pattern described in Chapter 2, Architectural Styles, can often help save precious bandwidth.

If your backend needs to transfer lots of data between some components, try to make sure such components are close together: don't run them in separate data centers. With databases, this often boils down to better replication. Patterns such as CQRS (discussed later in this chapter) are also handy.

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