concept:rest-grpc
Rest Grpc
Rest Grpc in the context of production machine-learning systems.
Lessons
Formal explanations, examples, simulations, and checkpoints.
Serving & inference systems
Choose batch, online, streaming, edge, or hybrid
Place inference where the decision’s deadline, freshness, and failure semantics can actually be met.
Serving & inference systemsPackage model, preprocessing, schema, and runtime
The deployable artifact is the complete raw-input-to-output program, not the weights alone.
Serving & inference systemsFeatures, batching, caching, and backpressure
Fast serving comes from bounded, version-aware work; graceful overload is a feature, not an afterthought.
Courses & assignments
Dependency-authoritative learning units.
Casebook
Reported facts and course reconstructions.