A high-performance async I/O networking library for Go using the proactor pattern, optimized for C10K+ connections and minimal context switching.
gaio is a high-performance asynchronous I/O networking library for Go that implements the proactor pattern to handle massive concurrent connections efficiently. It solves the performance limitations of the traditional one-goroutine-per-connection model by reducing context switching overhead and memory usage, making it ideal for servers with thousands of simultaneous connections.
Go developers building high-concurrency network servers, such as real-time messaging systems, gaming servers, financial trading platforms, or any service requiring C10K+ connections with low latency.
Developers choose gaio for its exceptional performance in high-concurrency scenarios, minimal resource footprint, and seamless integration with existing Go networking code, offering a proven alternative to standard Go networking when scalability and efficiency are critical.
High-performance, minimalist async-io (proactor) networking for Golang.
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Achieves 30K–40K requests per second in high-frequency trading environments, as battle-tested and documented in the README.
Optimized for C10K+ concurrent connections with edge-triggered I/O multiplexing, significantly reducing context switching overhead for high-concurrency scenarios.
Uses internal swap buffers to eliminate per-connection buffer allocations, trading minor performance for substantial memory savings, as highlighted in the README.
Compatible with standard net.Listener and net.Conn, allowing easy adoption into existing Go codebases without rewriting networking logic.
Only works on Linux and BSD, excluding Windows and other systems, which restricts deployment options and requires alternative solutions for cross-platform projects.
Requires careful management of async I/O operations and connection delegation, making it error-prone and challenging for developers unfamiliar with proactor patterns.
Lacks support for common protocols like HTTP or WebSockets, necessitating manual implementation on top of the low-level API, increasing development effort.