Event Loop Skill
Expert skill for high-performance event-driven I/O programming across platforms and runtime environments.
Capabilities
- Platform Multiplexers: Configure epoll (Linux), kqueue (BSD/macOS), IOCP (Windows)
- Performance Analysis: Analyze event loop performance and identify bottlenecks
- Event Debugging: Debug event handling issues and callback delays
- Framework Code Generation: Generate code for libuv, Boost.Asio, Tokio, and mio
- C10K+ Optimization: Optimize for massive concurrent connection handling
- Profiling: Profile event loop performance with system tools
- io_uring Integration: Implement Linux io_uring for high-performance I/O
- Timer Management: Efficient timer wheel and hierarchical timing implementations
Tools and Dependencies
strace/dtrace- System call tracingperf- Linux performance analysislibuv- Cross-platform async I/Oio_uring- Linux async I/O interfaceTokio- Rust async runtimeBoost.Asio- C++ async I/O
Target Processes
- event-driven-socket-handler.js
- tcp-socket-server.js
- websocket-server.js
- layer4-load-balancer.js
Usage Examples
epoll Event Loop (C)
int epfd = epoll_create1(0);
struct epoll_event ev, events[MAX_EVENTS];
ev.events = EPOLLIN | EPOLLET; // Edge-triggered
ev.data.fd = listen_fd;
epoll_ctl(epfd, EPOLL_CTL_ADD, listen_fd, &ev);
while (1) {
int n = epoll_wait(epfd, events, MAX_EVENTS, -1);
for (int i = 0; i < n; i++) {
handle_event(&events[i]);
}
}
io_uring Setup
struct io_uring ring;
io_uring_queue_init(256, &ring, 0);
// Submit and complete I/O operations
Performance Profiling
perf record -g ./server
perf report --stdio
strace -c -f ./server
Quality Gates
- Event handling latency within threshold
- No callback starvation
- Memory usage stable under load
- CPU utilization optimized
- C10K+ connection handling verified