Low-Latency Quant System
Backend
Back to ListProject Overview
Quantitative signal processing system with microsecond-level latency (<1ms). Built on FFI + EventEmitter for high-frequency trading strategy execution.
Technical Challenges
Main technical difficulties encountered and solutions applied.
Node.js
Main technical difficulties encountered and solutions applied.
Rust
Main technical difficulties encountered and solutions applied.
FFI
Main technical difficulties encountered and solutions applied.
Kafka
Main technical difficulties encountered and solutions applied.
gRPC
Main technical difficulties encountered and solutions applied.
Technical Challenges
Main technical difficulties encountered and solutions applied.
High Concurrency
Async processing, connection pooling, caching strategies for high-concurrency scenarios.
Observability
Comprehensive logging, metrics, and distributed tracing for quick problem identification.
Code Quality
Unit tests, integration tests, code reviews ensuring maintainability.
Technical Highlights
- →High-performance concurrency with Rust
- →Redis distributed caching
- →Kubernetes containerized deployment
- →Comprehensive monitoring and alerting
- →Automated CI/CD pipeline
Interested in This Project?
Let's discuss the technical details or similar challenges.
Contact Me