Protocol Translation
Open-source API gateway for microservices. Seamlessly convert gRPC, GraphQL, and REST traffic without modifying backend services.
Translation Matrix
Bidirectional Protocol Conversion
FluxGate maintains a live schema registry to map Protobuf definitions, GraphQL schemas, and OpenAPI specs. Configure source and target protocols to enable dynamic transformation patterns with zero downtime.
gRPC ↔ REST
Auto-generates OpenAPI 3.0 specs from Protobuf annotations. Converts streaming responses to Server-Sent Events (SSE). Handles binary serialization overhead reduction for HTTP/1.1 clients.
GraphQL ↔ REST
Federates disparate REST endpoints into a unified GraphQL schema. Resolvers cache database queries with configurable TTL. Enforces depth limiting and complexity analysis to prevent N+1 query issues.
gRPC ↔ GraphQL
Direct translation between Protobuf services and GraphQL resolvers. Optimized for mobile clients requiring flexible field selection over high-performance backend RPCs. Includes automatic gRPC status code mapping.
Implementation Scenario
Modernizing Legacy Inventory Systems
RetailTech Corp deployed FluxGate to expose their monolithic Java inventory service (REST v1) as a gRPC interface for new microservices. The translation layer handled payload transformation, converting JSON objects to Protobuf messages while preserving field-level validation rules defined in the original Swagger spec.
The mobile engineering team adopted the new gRPC endpoints within two sprints, reducing payload size by 64% and eliminating JSON parsing errors on low-bandwidth networks. The backend team continued maintaining the original REST API without downtime or code refactoring.
Latency & Throughput Analysis
Performance Impact by Protocol Pair
gRPC to REST
Added latency: 1.2ms avg. Sustained throughput: 45,000 req/s. Serialization overhead offset by HTTP/2 multiplexing. P99 latency remains under 12ms for payloads under 5KB.
REST to gRPC
Added latency: 0.8ms avg. Sustained throughput: 52,000 req/s. Binary encoding reduces network transfer time by 40%. Ideal for internal service-to-service communication.
GraphQL to REST
Added latency: 2.4ms avg. Sustained throughput: 28,000 req/s. Resolver caching reduces backend load by up to 40%. Complexity limits prevent runaway queries and resource exhaustion.
gRPC to GraphQL
Added latency: 1.8ms avg. Sustained throughput: 35,000 req/s. Direct field mapping minimizes object creation. Supports WebSocket subscriptions with automatic keepalive and reconnection logic.