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Rust Ecosystem Archetypes

Rust archetypes focused on high-performance, memory-safe systems programming with emphasis on GraphQL services and federation.

Available Archetypes​

GraphQL Services​

GraphQL Federated Gateway

Apollo Router-based federation gateway for orchestrating multiple GraphQL services into a unified API.

AdvancedFederationGateway

GraphQL Service

High-performance GraphQL service implementation with federation support and type safety.

IntermediateGraphQLMicroservice

Why Choose Rust?​

Performance Benefits​

  • Zero-cost Abstractions: High-level features without runtime overhead
  • Memory Safety: Compile-time memory management without garbage collection
  • Concurrency: Fearless concurrency with ownership system
  • Speed: Performance comparable to C/C++ with modern language features

Use Cases​

  • High-throughput APIs: Services handling millions of requests per second
  • Real-time Systems: Low-latency applications requiring predictable performance
  • GraphQL Federation: High-performance schema stitching and query planning
  • Microservices: Resource-efficient services in containerized environments

Ecosystem Strengths​

  • Async-GraphQL: Modern, feature-rich GraphQL implementation
  • Tokio: Production-ready async runtime
  • SQLx: Compile-time checked SQL queries
  • Serde: Fast, zero-copy serialization

Getting Started​

  1. Install Rust:

    curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

  2. Install Archetect:

    cargo install archetect

  3. Generate a service:

    archetect render git@github.com:p6m-archetypes/rust-service-graphql.archetype.git

Architecture Patterns​

Federation Architecture​

Performance Characteristics​

  • Latency: Sub-millisecond response times for simple queries
  • Throughput: 100K+ requests per second per core
  • Memory: Minimal memory footprint (< 50MB for basic services)
  • Startup: Near-instantaneous cold starts

Best Practices​

Code Organization​

  • Use modules to organize schema, resolvers, and services
  • Implement the Repository pattern for data access
  • Leverage Rust's type system for domain modeling
  • Use async/await consistently throughout the application

Performance Optimization​

  • Implement DataLoader patterns for N+1 query prevention
  • Use connection pooling for database access
  • Enable query complexity analysis
  • Implement proper caching strategies

Testing Strategy​

  • Unit tests for business logic
  • Integration tests for GraphQL operations
  • Property-based testing for data validation
  • Load testing for performance verification

Production Considerations​

Deployment​

  • Container-based deployment with minimal base images
  • Health checks and readiness probes
  • Horizontal scaling with load balancing
  • Resource limits and requests tuning

Monitoring​

  • Structured logging with tracing spans
  • Prometheus metrics integration
  • Distributed tracing with OpenTelemetry
  • Custom business metrics

Security​

  • Input validation and sanitization
  • Rate limiting and DDoS protection
  • Authentication and authorization
  • Secure coding practices