🚀 gRPC in Microservices: Go vs .NET in Real-World Projects


In recent months, I’ve implemented gRPC in both Go and .NET environments, building internal APIs for microservices running on Kubernetes. Here’s what stood out across both stacks:
✅ Key Benefits of gRPC:
Strongly-typed APIs with .proto contracts
Native HTTP/2 support (multiplexing, lower latency)
Built-in streaming (unary, server/client/bidi)
Auto-generated client/server code, reducing boilerplate and ensuring consistency
⚙️ Go vs .NET in gRPC Projects
Feature | Go | .NET |
Dev experience | Lightweight, fast builds | Mature tooling, strong IDE integration |
Performance | Extremely low memory/CPU overhead | Very efficient with Kestrel + gRPC |
Learning curve | Straightforward with idiomatic Go | Familiar to C# devs, but setup can vary |
Tooling | grpc-gateway, buf | Visual Studio tooling, protobuf-net/grpc |
🛠️ Real-World Impact:
Switching from REST to gRPC in internal Go services resulted in:
⚡ ~50% smaller payloads
⏱️ 2-3x faster internal communication
🧼 Versioned, contract-driven design shared across teams
👀 Limitations:
gRPC isn’t always the best fit for public-facing APIs or mobile/web clients, where REST or GraphQL might still be a better choice.
However, for internal microservices communication, gRPC is a powerful tool — especially when paired with Go or .NET Core.
🔍 Bonus tip:
grpc-gateway (Go) and grpc-json-transcoding (.NET) make it easy to expose gRPC as REST endpoints.
👉 Are you using gRPC with Go or .NET? Share your experience!
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