Question 1

How to handle errors in Tokio async tasks?

Accepted Answer

Use Rust's Result and Error types with tokio::spawn for task spawning; propagate errors using ? in async functions, and consider libraries like anyhow for easier error management in production code.

Question 2

Tokio vs async-std: which one should I use?

Accepted Answer

Tokio is better for high-performance networked services with its work-stealing scheduler and strong ecosystem, while async-std offers a simpler API closer to stdlib but may have less optimization for specific I/O workloads.

Question 3

What is the performance overhead of Tokio's runtime?

Accepted Answer

Tokio adds minimal overhead due to zero-cost abstractions, but the multithreaded scheduler and async I/O can increase memory usage and latency in very low-latency or resource-constrained scenarios compared to bare-metal code.

Question 4

How to implement backpressure in Tokio applications?

Accepted Answer

Use Tokio's channels like tokio::sync::mpsc for bounded queues, or leverage streams with buffering; the runtime naturally handles backpressure through async await points and cancellation tokens.

Question 5

Can I use Tokio for web scraping?

Accepted Answer

Yes, Tokio is excellent for web scraping with async HTTP clients like reqwest, allowing concurrent requests and efficient I/O handling, but ensure you manage rate limiting and error recovery to avoid bottlenecks.

Question 6

How to upgrade Tokio without breaking changes?

Accepted Answer

Check the changelog for each crate, test thoroughly with your codebase, and use LTS releases like 1.51.x for stability; the README provides guidance on MSRV and dependency management to minimize risks.

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