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RTIPC is a Linux inter-process communication (IPC) library built around fixed-size, single-producer/single-consumer queues in shared memory. Its overwrite-oldest policy keeps the newest update when a queue fills, making it a possible fit for applications that value fresh state over a complete message history. The project describes its design as zero-copy and low-overhead, but its published project and package pages do not provide benchmark figures to verify a particular latency or throughput.
What RTIPC is designed to do
RTIPC is a library for passing data between processes on the same host. Its documented architecture uses wait-free, single-producer/single-consumer (SPSC) circular queues placed in shared memory. A queue has a fixed message size and capacity; it is not a general-purpose, variable-length message broker. The project repository describes the library and its intended real-time use.
“Wait-free” and “zero-copy” describe the project’s design claims about queue operations and data transfer. They do not, on their own, establish how quickly a particular application will run. Actual behavior depends on such factors as the target CPU, kernel, message pattern, and surrounding application.
How shared-memory channels are set up
Processes use a Unix socket to exchange the shared-memory region and configuration information needed to establish matching channels. The client supplies that information; the server builds a corresponding channel vector. After setup, the channels carry the messages through shared memory rather than sending each data payload through the socket.
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RTIPC also offers optional eventfd support. That can notify an application’s event loop and connect with interfaces such as select, poll, or epoll. It is an optional notification mechanism, not a change to the queue’s SPSC delivery model. The project’s repository documents the setup and event integration.
What happens when a queue is full
When a queue reaches capacity, the documented policy is to replace its oldest queued message with the newest one. The producer therefore need not preserve every update in a growing backlog; consumers can instead receive more current data. The cost is loss of older messages.
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This favors freshness, not guaranteed delivery of every event. It may suit streams of measurements or state snapshots where a newer value makes an older one less useful. It is a poor fit when each message represents an indispensable event, transaction, or command that must be processed in order. Check that losing stale updates is safe for the application before choosing this behavior.
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- Producer and consumer count: The documented queue model is SPSC. Applications needing multiple producers or consumers should not assume the library provides that pattern through the same queue.
- Message shape: Message size and queue capacity are fixed when the queue is created. Consider whether that fits the data and expected burst size.
- Delivery semantics: Decide whether retaining every message matters more than keeping the latest update available when the queue fills.
- Scope: RTIPC’s described shared-memory design is for processes communicating on a host. It is not, by that description, a cluster or network transport.
- Notification: Determine whether optional eventfd integration is useful for the application’s event loop.
- Performance evidence: Seek measurements for the intended hardware, kernel, message sizes, and workload before relying on a latency or throughput target.
The Docs.rs page for the Rust package lists rtipc version 0.9.0, dated 2026-09-28, and describes it as a pure Rust implementation. That is a dated snapshot of this package, not evidence that every RTIPC deployment uses that version.
What “near-zero-overhead” does—and does not—establish
The project describes RTIPC as zero-copy and says its data path is syscall-free, with deterministic behavior as a design goal. The repository and package pages cited here do not publish numerical latency, throughput, or CPU-utilization results, nor do they give a benchmark’s hardware, kernel, or workload configuration. “Near-zero-overhead” should therefore be read as a characterization of the intended design, not a measured or independently verified performance result.
For a real-time system, evaluate the complete application path under its own operating conditions. A queue design alone cannot establish end-to-end timing, and the available project material does not support a numeric performance comparison with other IPC libraries.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.RTIPC is not Linux kernel TIPC
The similar names refer to different technologies. RTIPC is the library described above. Linux kernel TIPC means Transparent Inter Process Communication; the kernel documentation describes it as a protocol for intra-cluster communication, with UDP or Ethernet transports. See the Linux kernel 6.7 TIPC documentation. TIPC is not another name for the RTIPC shared-memory library.
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