Rewriting Kafka in Rust
a year ago
- #Rust
- #Performance Optimization
- #Async Programming
- Rewriting Kafka in Rust leverages Rust's advantages for superior performance and efficiency.
- Avoid turning functions into async unless necessary to minimize overhead and task proliferation.
- Minimize the number of Tokio tasks to reduce CPU cache thrashing and scheduling overhead.
- Favor lock-free architectures and minimize the use of Tokio async locks to enhance performance.
- Use unsafe code judiciously in performance-critical paths, ensuring encapsulation and thorough testing.
- Separate mutable and immutable data to optimize lock granularity and reduce contention.
- Distinguish between asynchronous and synchronous data operations to optimize lock usage.
- Employ static dispatch in performance-critical paths to avoid runtime overhead.
- Design experience includes connection-per-task models, centralized request processing, and worker recovery.
- StoneMQ was developed with exacting standards to outperform Kafka while maintaining readable code.