How do I handle memory leaks in async Rust tasks?

The skill covers strategies for breaking Arc reference cycles using Weak pointers and implementing graceful shutdown signals to prevent unbounded task growth.

Can I monitor my Rust async runtime in real-time?

Yes, the skill includes detailed instructions for integrating tokio-console, which allows you to monitor task poll durations, waker operations, and resource utilization live.

What is the best way to profile Tokio performance bottlenecks?

It recommends using structured tracing instrumentation to create spans, which can then be analyzed via flame graphs or tokio-console to find long-running synchronous work blocking the runtime.

How can I test async code that relies on timing?

The skill demonstrates how to use tokio::test with paused time to instantly test timeouts and delayed operations without waiting for real-world intervals.

How do I detect deadlocks in Tokio applications?

This skill provides patterns for implementing consistent lock ordering and utilizing try_lock with timeouts to identify potential deadlocks before they impact production stability.

Tokio Troubleshooting Expert

Name: Tokio Troubleshooting Expert
Author: geoffjay

bygeoffjay

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Analíticas y Monitorización

Diagnoses and resolves complex asynchronous issues in Rust applications by identifying deadlocks, memory leaks, and performance bottlenecks in the Tokio runtime.

Acerca de

This skill empowers developers to master the complexities of the Tokio async runtime through advanced debugging and monitoring techniques. It provides standardized patterns for real-time runtime inspection using tokio-console, structured tracing for performance profiling, and specific strategies for resolving common async pitfalls such as task leaks, deadlocks, and reference cycles. Whether you are dealing with mysterious application hangs or optimizing high-concurrency throughput, this skill offers actionable implementation patterns and a comprehensive troubleshooting checklist to ensure your Rust services are robust and efficient.

Características Principales

Performance profiling through structured tracing and flame graph instrumentation
Advanced async testing techniques including time-mocking and concurrency checks
Real-time runtime monitoring and metrics using tokio-console integration
Comprehensive deadlock detection patterns and consistent lock ordering strategies
2 GitHub stars
Memory leak remediation for async tasks and Arc reference cycles

Casos de Uso

Detecting and fixing memory growth in long-running asynchronous background services
Optimizing resource utilization and task spawning in high-throughput Rust backends
Diagnosing production application hangs and identifying blocking code in async contexts

Acerca de

Características Principales

Performance profiling through structured tracing and flame graph instrumentation
Advanced async testing techniques including time-mocking and concurrency checks
Real-time runtime monitoring and metrics using tokio-console integration
Comprehensive deadlock detection patterns and consistent lock ordering strategies
2 GitHub stars
Memory leak remediation for async tasks and Arc reference cycles

Casos de Uso

Detecting and fixing memory growth in long-running asynchronous background services
Optimizing resource utilization and task spawning in high-throughput Rust backends
Diagnosing production application hangs and identifying blocking code in async contexts