Can I use these patterns for CPU-bound tasks?

Yes, the skill includes patterns specifically for parallel CPU work using tokio::task::spawn_blocking to avoid stalling the async runtime.

What concurrency patterns does this skill provide?

The skill includes patterns for fan-out/fan-in, multi-stage pipelines, rate limiting, parallel task execution, coordinated shutdowns, shared state management, and circuit breakers.

Does this skill help with graceful shutdowns?

Yes, it provides a coordinated shutdown pattern using CancellationToken to manage hierarchical task cancellation effectively.

How does it handle rate limiting?

It implements a token-bucket style rate limiter using tokio::sync::Semaphore and background token refill tasks.

Tokio Concurrency Patterns

Name: Tokio Concurrency Patterns
Author: geoffjay

bygeoffjay

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API 개발

Implements advanced asynchronous concurrency patterns for building high-performance, scalable systems using the Tokio runtime in Rust.

소개

This skill empowers developers to architect robust asynchronous applications by providing a library of production-ready patterns for the Rust Tokio ecosystem. It includes sophisticated implementations for managing complex task flows, such as fan-out/fan-in processing, rate limiting via token buckets, resilient circuit breakers to prevent cascading failures, and graceful coordinated shutdowns. Whether you're building high-throughput microservices or low-latency network applications, these patterns ensure efficient resource utilization and system stability through proven architectural designs.

주요 기능

2 GitHub stars
Token bucket rate limiting for precise traffic and operation control
Fan-out/fan-in and pipeline processing models for stream manipulation
Hierarchical coordinated shutdown using CancellationToken for clean exits
Work-stealing queues and operation batching for optimized load balancing
Resilient circuit breaker patterns to prevent cascading system failures

사용 사례

Building high-throughput microservices that require backpressure and rate limiting
Implementing complex multi-stage data processing pipelines in async Rust
Ensuring graceful shutdowns in distributed systems to prevent data loss or corruption

소개

주요 기능

2 GitHub stars
Token bucket rate limiting for precise traffic and operation control
Fan-out/fan-in and pipeline processing models for stream manipulation
Hierarchical coordinated shutdown using CancellationToken for clean exits
Work-stealing queues and operation batching for optimized load balancing
Resilient circuit breaker patterns to prevent cascading system failures

사용 사례

Building high-throughput microservices that require backpressure and rate limiting
Implementing complex multi-stage data processing pipelines in async Rust
Ensuring graceful shutdowns in distributed systems to prevent data loss or corruption