Scaling ML-KEM Key Exchange as a Microservice: gRPC vs In-Process Libraries

Trade-offs between network RPC latency and centralizing hardware accelerator access.

Algorithmic Architecture & Mathematical Foundations

The Cryptographic Microservices architecture is engineered to provide cryptographically provable security based on worst-case lattice hardness. By replacing vulnerable discrete logarithm and factorization primitives with high-dimensional Euclidean lattice vectors, the system guarantees long-term confidentiality against cryptanalytically relevant quantum computers.

Production Deployment & Operational Considerations

Deploying Cryptographic Microservices requires careful balancing of public key size overhead, network MTU fragmentation limits, and memory cache footprint. Through hardware coprocessor offload and vectorized assembly pipelines, production systems achieve near-zero performance degradation compared to legacy classical ciphers.

Explore Technical Architecture & Portfolio