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title: Concurrent Servers: Part 7 | daily.dev
description: Part 7 of a series on concurrent network servers covers implementing the same simple state-machine and primality-testing servers in Rust, walking through...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Concurrent Servers: Part 7

**[Eli Bendersky](https://daily.dev/sources/elibendersky)** · 13 min read · 4 upvotes · 0 comments

## Summary

Part 7 of a series on concurrent network servers covers implementing the same simple state-machine and primality-testing servers in Rust, walking through sequential, one-thread-per-client, fixed thread-pool, and async/await (Tokio) implementations. It shows how Rust's std mpsc channels lack multi-consumer support (solved with the crossbeam_channel crate), how Tokio's task model resembles green threads, and how an async Redis crate (using MultiplexedConnection) can be shared safely across tasks without extra synchronization. The post closes by noting that Rust's async model doesn't eliminate function-color issues but remains popular for its performance.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://eli.thegreenplace.net/2026/concurrent-servers-part-7-rust>

## Questions this post answers

### How do I implement a fixed-size thread pool in Rust for handling TCP connections?

Use a set of worker threads that share a bounded mpmc channel from the crossbeam_channel crate, since Rust's built-in std channels are mpsc (single consumer) and cannot be used by multiple worker threads directly. The main thread accepts connections and sends jobs (stream plus address) into the channel; each worker loops on receiver.recv() and calls serve_connection for each job. A bounded channel capacity naturally creates backpressure, blocking new accepts once the queue is full.

_daily.dev surfaces practical concurrency patterns like this for developers designing Rust server pools._

### Why can't I use std::sync::mpmc for a Rust worker thread pool channel?

The mpmc (multi-producer, multi-consumer) channel API in Rust's standard library is still experimental and only available on nightly toolchains, so it isn't suitable for stable production code. The crossbeam_channel crate provides a well-tested, stable mpmc channel implementation that supports multiple worker threads consuming from the same job queue, making it the practical choice for a thread pool.

_Developers picking dependencies for Rust concurrency work can track crate maturity trade-offs on daily.dev._

### How do you cache results in Redis from an async Rust server using Tokio?

Use the redis crate's tokio feature and call get_multiplexed_async_connection to obtain a MultiplexedConnection, which is Clone and safely shared across tokio tasks without extra synchronization since it handles concurrency internally. In each request handler, call .get(cachekey).await to check the cache before computing, then .set(cachekey, answer).await to store the result, awaiting each Redis call so other tasks can run while waiting on I/O.

_Teams building async Rust services with Redis caching can follow these patterns via daily.dev._

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---

Tags: [#rust](https://daily.dev/tags/rust)

[View this post on daily.dev](https://daily.dev/posts/concurrent-servers-part-7-p5cowxjcu)

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