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Microservices Communication in .NET Using gRPC

You're reading from   Microservices Communication in .NET Using gRPC A practical guide for .NET developers to build efficient communication mechanism for distributed apps

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Product type Paperback
Published in Feb 2022
Publisher Packt
ISBN-13 9781803236438
Length 486 pages
Edition 1st Edition
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Author (1):
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Fiodar Sazanavets Fiodar Sazanavets
Author Profile Icon Fiodar Sazanavets
Fiodar Sazanavets
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Basics of gRPC on .NET
2. Chapter 1: Creating a Basic gRPC Application on ASP.NET Core FREE CHAPTER 3. Chapter 2: When gRPC Is the Best Tool and When It Isn't 4. Chapter 3: Protobuf – the Communication Protocol of gRPC 5. Section 2: Best Practices of Using gRPC
6. Chapter 4: Performance Best Practices for Using gRPC on .NET 7. Chapter 5: Applying Versioning to the gRPC API 8. Chapter 6: Scaling a gRPC Application 9. Section 3: In-Depth Look at gRPC on .NET
10. Chapter 7: Using Different Call Types Supported by gRPC 11. Chapter 8: Using Well-Known Types to Make Protobuf More Handy 12. Chapter 9: Securing gRPC Endpoints in Your ASP.NET Core Application with SSL/TLS 13. Chapter 10: Applying Authentication and Authorization to gRPC Endpoints 14. Chapter 11: Using Logging, Metrics, and Debugging in gRPC on .NET 15. Assessments 16. Other Books You May Enjoy

Proxy load balancing with gRPC

Proxy load balancing is the most popular type of load balancing used by standard web applications. With it in place, the client doesn't know the exact addresses of individual endpoints. It only knows the address of a single endpoint that the proxy is hosted on. And it's the job of the proxy to then redirect the request to the actual endpoints.

Large-scale user-facing applications would use this type of load balancing. Because web applications like Facebook or YouTube would not be able to support the number of requests they receive if they just ran as a single instance, they have to be scaled out and run as many duplicate instances. The number of these instances may change as the number of requests changes. Also, the instances may get moved to different hardware if the original machine fails, which regularly happens in data centers.

As the user, you would never be expected to know the ever-changing list of the endpoint addresses. All you...

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