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Production Concerns

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.

LessonWhat you’ll learn
InterceptorsThe middleware model — wrap every call for logging, auth, metrics, retries
Security & AuthTLS and mTLS for the channel, token auth per call, and why they’re separate
MetadataKey/value headers and trailers — auth tokens, trace ids, request ids
Load balancing & healthWhy L4 balancers break gRPC, client-side LB, and health checking

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"]
Cross-cutting concerns wrap the business logic, not live inside it

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.

What do all the topics in this module have in common?
Why should logging and auth live in interceptors rather than each handler?
What makes load balancing uniquely tricky in gRPC?