Go vs Rust for Microservices: When to Choose Which
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.
Read the analysisDistributed systems · FAANG-scale engineering
exashard is a publication on distributed systems, Kubernetes, and the architecture that takes software from one million to one billion users — written from the trenches of running a real polyglot platform, not paraphrased from documentation.
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.
Read the analysisgRPC 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.
Consensus, replication, and failure at scale
BrowseOperating clusters that do not page you at 3am
BrowsePolyglot services that compose, not collapse
BrowseCapacity math and tradeoffs that hold up
BrowseThe decisions above the code
BrowseNewsletter
Production wisdom on distributed systems, delivered when there is something worth saying. No spam, unsubscribe anytime.