TL;DR
Linux’s epoll and io_uring are two asynchronous I/O mechanisms. Recent developments show io_uring offers significant performance advantages over epoll, but some implementation details and system support remain evolving. This impacts high-performance server development.
Linux’s io_uring, introduced in 2019, is rapidly replacing epoll for asynchronous I/O, offering significant reductions in system call overhead and improved performance, confirmed by recent kernel support and user reports.
Linux kernel support for io_uring began with version 5.1 in 2019, providing a new, more efficient way to handle asynchronous I/O by using shared ring buffers and batching system calls. Unlike epoll, which notifies applications when I/O is ready, io_uring signals completion of I/O operations, reducing the number of syscalls needed during steady state. This architectural shift results in fewer context switches and lower latency, especially under high load conditions.
In practical terms, code examples demonstrate that epoll requires multiple syscalls per event—registering, waiting, and reading—while io_uring can perform similar tasks with fewer calls, especially when using features like SQPOLL, which minimizes syscalls further by polling in kernel space. Support for zero-copy operations via buffer registration and advanced opcodes like IORING_OP_SEND_ZC enhances performance for network applications.
While io_uring’s advantages are clear, some implementation details, such as optimal configuration of SQPOLL threads and handling of asynchronous errors, are still being refined. Compatibility is also limited to newer kernels, which may restrict immediate adoption on older systems.
Implications for High-Performance Linux Applications
The shift from epoll to io_uring represents a major architectural change in Linux asynchronous I/O. For developers of network servers, databases, and other high-throughput applications, this means potentially lower latency and higher scalability with less CPU overhead. As io_uring matures and gains broader kernel support, it is likely to become the standard for asynchronous I/O on Linux, influencing future system design and optimization strategies.
Linux kernel io_uring support
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Evolution of Asynchronous I/O in Linux
epoll was introduced in Linux in 2002 as a scalable alternative to older mechanisms like select() and poll(). It became the default for many high-performance network applications due to its efficiency. However, epoll still relies on multiple syscalls per I/O event, which can cause performance bottlenecks under heavy loads.
In 2019, io_uring was added in Linux kernel v5.1, offering a fundamentally different approach by using shared ring buffers for submission and completion queues, enabling batching and reducing syscall overhead. Early benchmarks and user reports suggest that io_uring can outperform epoll significantly, especially in scenarios involving many simultaneous I/O operations. Adoption is growing, but support is limited to newer kernels, and some features are still being stabilized.
“io_uring fundamentally changes how asynchronous I/O is handled, reducing system call overhead and enabling high scalability.”
— Linux kernel developer

Tecmojo 12U Open Frame Network Rack for IT & AV Gear, AV Rack Floor Standing or Wall Mounted,with 2 PCS 1U Rack Shelves & Mounting Hardware,Network Rack for 19" Networking,Audio and Video Device
【Powerful Load-bearing】12U Network Rack Open Frame is constructed from durable cold rolled steel; Rack shelf supports enhance stability,…
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Unresolved Questions and Ongoing Development
While io_uring shows clear advantages, questions remain about optimal configuration, error handling, and system support across different Linux distributions and kernel versions. The long-term stability and feature set of io_uring are still evolving, and some applications may face compatibility challenges.

Python Performance Engineering: Optimization Techniques Explained
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Future Adoption and System Support Improvements
Expect ongoing kernel updates to enhance io_uring’s stability, features, and ease of use. Broader adoption in Linux-based high-performance applications will likely depend on further maturity, documentation, and community testing. Developers are advised to monitor kernel releases and experiment with io_uring in controlled environments before full migration.

(2026 New) 5MP Wireless Security Camera System, 10" IPS Monitor 10CH NVR, Dual-Band 2.4/5.8GHz WiFi, Dual Antenna Cameras, 130° Wide Angle, 2-Way Audio, 500GB HDD, No Monthly Fee, IP66
{Crystal Clear 5MP Video & 130° Wide Angle} Capture sharper details with 5MP HD resolution and a 130°…
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Key Questions
What are the main performance benefits of io_uring over epoll?
io_uring reduces the number of syscalls needed for asynchronous I/O by batching operations and notifying completion instead of readiness, leading to lower latency and higher throughput, especially under heavy loads.
Is io_uring supported on all Linux systems?
No, io_uring requires Linux kernel version 5.1 or later, so older systems do not support it natively. Support is also dependent on distribution updates and kernel configurations.
Are there any drawbacks to using io_uring?
Yes, some features are still evolving, and configuration can be complex. Additionally, improper use or unsupported kernel versions may cause stability issues. Compatibility with existing applications may require significant changes.
Can I switch from epoll to io_uring gradually?
Yes, developers can experiment with io_uring alongside epoll, as both interfaces can coexist. Transitioning fully depends on kernel support and application readiness.
Source: Hacker News