Why are goroutine leaks considered more critical than classic memory leaks from a runtime impact perspective?

Goroutine leaks are considered more critical than classic memory leaks due to their impact on runtime:

• Resource consumption: Each goroutine occupies a stack (usually a few kilobytes) and system resources. Leaking a large number of goroutines sharply increases memory usage and scheduler load.

• Go scheduler: Goroutines are managed by the Go scheduler, and a large number of "stuck" goroutines can lead to performance degradation, increased latency, and even deadlocks.

• Detection difficulty: Goroutine leaks are often harder to trace because they may not manifest immediately but can lead to resource exhaustion over time.

• Impact on application responsiveness: Unlike classic memory leaks, where memory is simply not freed, goroutine leaks can cause blocking, deadlocks, and reduced parallelism, directly affecting the responsiveness and stability of the application.

Example: if a goroutine is waiting on a channel that will never close, it will never finish, creating a leak. With many such goroutines, the application may stop processing new requests efficiently.