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Service Communication
Service Communication Graphics Coverage
Primary chapter graphic: gRPC Local-To-Remote Call Flow. Accepted graphics: 1. Reviewed non-signal pages: 0. Open graphics in review: 0. QA status lives in graphics audit and visual review ledger.
Corpus pages: p. 12-13, p. 87, p. 186, p. 287, p. 423 Coverage: 6 pages; low-confidence extraction ranges: p. 12-13
This chapter is part of Marius's owned architecture build corpus. The text routes decisions; durable implementation signal is carried by accepted graphics, reviewed non-signal decisions, and the linked QA audit.
Chapter Visuals
Accepted graphics carry the canonical design signal for this chapter. Each selected source page is either accepted as a graphic or explicitly marked non-signal in the source-faithful ledger. Review and QA state live in visual inventory, visual review ledger, and graphics audit.
gRPC Local-To-Remote Call Flow
- source-page: p. 12
- batch: 03
- status: accepted
- reviewer-status: reviewed
- fidelity-score: 0.9
- spec: bbg-p0012-grpc-and-service-communication-service.json
- svg: bbg-p0012-grpc-and-service-communication-service.svg

Open Review Queue
- none
Reviewed Non-Signal Pages
- none
Use When
- Internal services need typed, efficient communication with clear ownership and compatibility rules.
Avoid When
- A public browser client needs the simplest possible integration surface.
Core Model
- Service calls couple teams through schemas, timeouts, and failure semantics even when transport is fast.
- Prefer explicit ownership over accidental coupling. Every boundary should say who owns correctness, cost, data, recovery, and change.
- Use corpus page pointers for inspection, and keep the chapter notes focused on reusable design decisions.
Implementation Guidance
- Define request and response messages, deadline behavior, retry policy, and schema evolution before wiring callers.
- Write the smallest useful design note: purpose, inputs, outputs, state, failure behavior, observability, and rollback.
- Choose the first implementation that can be tested against the real workflow without hiding a known production risk.
Tradeoffs
- Binary RPC improves speed and typing but raises tooling and debugging requirements.
- Centralization reduces duplicated work but can become a bottleneck when every team needs exceptions.
- Specialized infrastructure helps at scale, but it must earn its operational cost.
Failure Modes
- One service waits indefinitely for another and ties up the request path.
- The diagram shows boxes but not ownership, retry behavior, data freshness, or user-visible failure.
- The system has no proof path for the highest-risk assumption.
Decision Checklist
- Set deadlines, bounded retries, trace propagation, and backward-compatible schema changes.
- Name the owner, source of truth, timeout, retry policy, and evidence that the path works.
- Add one regression check for the failure mode most likely to recur.
Neutral Automation Examples
- A pricing service keeps its internal RPC typed while exposing a smaller public REST facade.
- A neutral internal automation starts with fixtures, then adds credentials, permissions, and production scheduling only after the boundary is tested.
- A customer-facing workflow keeps irreversible actions behind explicit approval until metrics show it is safe to automate further.