Question 1

How to handle task timeouts with Pond?

Accepted Answer

Use context integration by creating groups with pool.NewGroupContext(ctx) or passing contexts directly to tasks. Set timeouts with context.WithTimeout, and Pond will cancel tasks when the context expires, as shown in the examples.

Question 2

Pond vs ants: which is better for Go concurrency?

Accepted Answer

Pond emphasizes zero dependencies and automatic scaling, while ants might offer different performance profiles or features like pre-allocation. Choose Pond for minimalism and rich APIs, but benchmark both for your specific workload, as Pond references ants in its resources.

Question 3

How to implement rate limiting with Pond?

Accepted Answer

Create a pool with a maximum worker limit using pond.NewPool(n) to cap concurrent tasks. Combine with bounded queues (WithQueueSize) to control backpressure, and use non-blocking submission to reject tasks when limits are exceeded, as detailed in the bounded queues section.

Question 4

Can Pond recover from panics in tasks?

Accepted Answer

Yes, by default, Pond captures panics and returns them as errors via task.Wait(). You can disable this with pond.WithoutPanicRecovery() for default Go behavior, as explained in the panic recovery section.

Question 5

How to monitor Pond pool metrics in production?

Accepted Answer

Use built-in methods like pool.RunningWorkers() and pool.SuccessfulTasks() for real-time insights. For external monitoring, the README provides a Prometheus example to expose these metrics, enabling integration with dashboards.

pond

What is pond?

Overview

Use Cases

Best For

Related Projects

Found a gem we're missing?

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions