gRPC Across Languages: Production Lessons
gRPC across languages promises neutral RPC. In production the gaps are real: load balancing, deadlines, status codes, and schema evolution. The fixes.
Distinguished Software Engineer, Founder
Colson is the founder of ColsonSuperApps LLC and Syrosin LLC, and the architect of TYPEMUSE — a 95-microservice polyglot platform (Go, Rust, Java, Python, Elixir, Scala) running on Kubernetes with Bazel, gRPC, and Kafka. He writes exashard from the trenches of building and operating large-scale distributed systems.
gRPC across languages promises neutral RPC. In production the gaps are real: load balancing, deadlines, status codes, and schema evolution. The fixes.
Rust hot path services hold their latency target only if you set 4 defaults right: panic strategy, allocator, Tokio runtime, and bounds. The production checklist.
Polyglot microservices break at the seams, not inside services. The 5 cross-language failure modes (deadlines, cancellation, errors, types, connections) and fixes.
FastAPI microservices done right: where they belong in a polyglot fleet, the async model that decides performance, and the worker math most teams skip.
Go vs Rust for microservices: use Go by default, reach for Rust only on hot paths where tail latency or memory is a measured need. The decision framework.
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