Architecture
gRPC and Protobuf
gRPC is Google's high-performance RPC framework. Master Protocol Buffers, streaming patterns, interceptor chains, and building efficient microservice communication at scale.
- Performance â Binary protocol, 10x faster than JSON
- Streaming â Client, server, and bidirectional streaming
- Type Safety â Strongly typed contracts with code generation
gRPC is what REST would be if it were designed for microservices.
Protocol Buffers
Proto File Definition
Serialization Comparison
| Metric | JSON | Protobuf |
|---|---|---|
| Size | Large (text) | Small (binary) |
| Speed | Slow (parse) | Fast (decode) |
| Schema | Optional | Required |
| Human Readable | Yes | No |
| Cross Language | Yes | Yes |
gRPC Communication Patterns
HTTP/2 Features
| Feature | Description | Benefit |
|---|---|---|
| Multiplexing | Multiple streams over single connection | No head-of-line blocking |
| Header Compression | HPACK compression | Smaller headers |
| Server Push | Proactive responses | Reduced latency |
| Binary Protocol | Binary framing | Faster parsing |
gRPC Interceptors
| Interceptor Type | Use Case |
|---|---|
| Unary Interceptor | Modify unary calls |
| Stream Interceptor | Modify streaming calls |
| Client Interceptor | Client-side middleware |
| Server Interceptor | Server-side middleware |
Practice Exercises
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Proto Design: Design the proto files for an e-commerce system with Product, Order, and Payment services. Define the messages and service RPCs.
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Streaming Design: Design a real-time notification system using gRPC bidirectional streaming. How do you handle connection failures and message ordering?
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Performance Comparison: Benchmark gRPC vs REST for a microservice that returns 1KB of data. What are the expected latency and throughput differences?
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Migration Plan: Your team is migrating from REST to gRPC. Design the migration strategy, including compatibility layers and gradual rollout.
What to Learn Next
-> WebSockets and Real-Time WebSocket protocols, connection management, and scaling patterns.
-> Elixir and Phoenix for Real-Time Building real-time systems with the BEAM VM and Phoenix Channels.
-> API Design REST, GraphQL, gRPC, versioning, and rate limiting.
-> Microservices Service decomposition, communication patterns, and deployment.
-> Message Queues Async processing, event-driven architecture, and pub/sub patterns.
-> Service Mesh Istio, Linkerd, and service-to-service communication.