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Observability
Metrics, traces and logs per method.
Instrument by method and status
Track request rate, error rate (by status code) and latency for every method, on both client and server. OpenTelemetry provides gRPC instrumentation that creates spans per RPC and propagates trace context in metadata, so calls appear in distributed traces. Log the method, status code, duration and request ID for each call, but never message contents containing personal data. Stream metrics also need message counts and stream durations.
Observable, consistent, tested
Observability, API conventions, testing and a checklist keep gRPC services dependable.
Useful per-method signals
What to chart and alert on.
rate rpc calls per second by service/method
errors calls by grpc status code (alert on INTERNAL, UNAVAILABLE, DEADLINE_EXCEEDED spikes)
latency p50/p95/p99 duration by method
streams active streams, messages sent/received, stream duration
clients retries, hedged attempts, connection churnSeparate client and server views
Client-side latency includes network and queueing; comparing it with server-side latency locates delays.
त्वरित जाँच: Which dimension should gRPC metrics be broken down by?
- Random IDs per request
- Message field values
- User passwords
- Service method and status code
Answer
Service method and status code — Bounded, meaningful labels.