Question 1

How does Pester compare to other Go retry libraries like retry-go?

Accepted Answer

Pester focuses specifically on HTTP client resiliency with drop-in replacement and concurrent GET handling, while retry-go is more generic. Pester's built-in backoff strategies and optional logging make it better suited for HTTP-specific retry scenarios, but it lacks the broader applicability of general-purpose retry libraries.

Question 2

Can I use Pester for concurrent POST requests?

Accepted Answer

No, Pester's concurrency feature is only designed for GET calls, as stated in the README. For POST or other methods, you'll need to implement custom concurrency logic or use alternative libraries that support multiple HTTP verbs.

Question 3

How to set up exponential backoff with jitter in Pester?

Accepted Answer

Use the ExponentialJitterBackoff strategy by setting client.Backoff = pester.ExponentialJitterBackoff in the constructor. This adds randomness to retry delays, reducing thundering herd problems, as detailed in the backoff strategy section.

Question 4

Does Pester handle timeouts differently from the standard http client?

Accepted Answer

Pester relies on the underlying http client for timeouts, so you must configure timeouts separately. The retry logic may exacerbate timeout issues if not tuned carefully, as each retry could compound delays.

Question 5

Is there a way to disable retries for certain errors in Pester?

Accepted Answer

Pester doesn't provide built-in error filtering for retries; it retries on all errors by default. You would need to implement a custom wrapper or modify the source code to skip retries for specific error types.

Question 6

What's the overhead of using Pester's logging feature?

Accepted Answer

Enabling KeepLog adds memory overhead by storing error logs for each retry attempt, which can grow with high retry counts. It's best used for debugging in development or monitored production environments to avoid performance impacts.

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