Production Concerns
From “it works” to “it ships”
Section titled “From “it works” to “it ships””You can define a service, generate stubs, implement a handler, and call it — and it works on your laptop. Production asks harder questions: How do you log and authenticate every call without editing every handler? How do you encrypt traffic and prove who the caller is? How do you spread load across many backends when gRPC deliberately holds one long-lived connection? This module answers those.
What this module covers
Section titled “What this module covers”| Lesson | What you’ll learn |
|---|---|
| Interceptors | The middleware model — wrap every call for logging, auth, metrics, retries |
| Security & Auth | TLS and mTLS for the channel, token auth per call, and why they’re separate |
| Metadata | Key/value headers and trailers — auth tokens, trace ids, request ids |
| Load balancing & health | Why L4 balancers break gRPC, client-side LB, and health checking |
The theme: cross-cutting concerns
Section titled “The theme: cross-cutting concerns”Everything here is a cross-cutting concern — something every RPC needs but no single handler should own.
flowchart LR call["incoming call"] --> tls["TLS / auth"] tls --> intc["interceptors (log, metrics)"] intc --> md["metadata (trace id, token)"] md --> handler["your handler (business logic)"] handler --> lb["load balancing spreads calls across backends"]
gRPC gives you first-class hooks for each so your handlers stay focused on business logic. Learn these and your service becomes observable, secure, and scalable without rewriting the code that does the actual work.