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gRPC’s performance advantages hinge on minimizing latency, but its binary protocol and streaming capabilities make debugging and monitoring inherently opaque. While distributed tracing identifies bottlenecks, metrics like error rates and throughput are critical for holistic insights. Yet, manual instrumentation for these signals in gRPC is complex, error-prone, and lacks standardization.
In this talk, Purnesh Dixit from the gRPC team unveils the new OpenTelemetry plugin for gRPC, developed by the gRPC team at Google, which provides unified metrics and tracing out-of-the-box to monitor retries, diagnose streaming bottlenecks, and optimize performance without invasive code changes. 1) Client-per-call: Track overall RPC lifecycle (e.g., grpc.client.call.duration).
