Tutorials Microservices with .NET
Response Compression in API Gateway — Complete Guide
Response Compression in API Gateway — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Microservices with .NET on Toolliyo Academy.
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Microservices with .NET · Lesson 52 of 120
gRPC in ASP.NET Core
Beginner ✓ → Intermediate → Advanced → Professional
Intermediate · 2 — Building services · ~6 min · Module 6: Advanced Communication
What is this?
gRPC in ASP.NET Core is a key part of ShopNest Cloud-Native — your .NET microservices learning project. In plain terms: it helps Order Service work correctly in a distributed system where each app deploys and scales on its own.
Why should you care?
You care about this when REST is too slow or too chatty between internal services, or when clients need flexible queries.
See it live — copy this example
Create a Web API project (dotnet new webapi), paste the code, then run dotnet run.
var channel = GrpcChannel.ForAddress("https://inventory-api:5001");
var client = new Inventory.InventoryClient(channel);
var reply = await client.ReserveAsync(new ReserveRequest { Sku = "KB-1", Qty = 1 });
Run Example »
Edit the code and click Run — like W3Schools Try it Yourself.
What happened?
- The example shows gRPC in ASP.NET Core wired into Order Service.
- Read each line, run it locally, then change one setting and observe what breaks or improves.
- That is how teams learn in production too — small experiments, not big bang rewrites.
Try it yourself
- Open or create the ShopNest project area for Order Service.
- Apply the gRPC in ASP.NET Core pattern from the lesson example.
- Run dotnet build && dotnet run (or docker compose up when the lesson uses containers).
- Change a string or number in the example and run again — predict the output first.
- Break the code on purpose (remove a semicolon), read the compiler error, then fix it.
Remember
gRPC in ASP.NET Core connects to Order Service in ShopNest Cloud-Native. Practice by editing the example yourself — do not only read. Move on when you can explain this topic in your own words without looking.
Real-world: Flipkart Big Billion Day checkout
During peak sales, Order and Payment services scale independently. RabbitMQ buffers spikes so Payment workers catch up without blocking the mobile app.
Outcome: Checkout returns in under 500ms while payment completes in the background — shoppers see clear status updates.