How do Kotlin coroutine systems behave under distributed timeout misconfiguration?

Timeout misconfiguration leads to resource leaks, thread exhaustion, and cascading upstream failures.

In distributed systems, timeouts define failure boundaries. In Kotlin coroutine-based services, incorrect timeout values (too high or missing) cause suspended coroutines to accumulate indefinitely. Each suspended coroutine holds memory, context, and potentially open network connections. This leads to resource exhaustion in dispatchers and thread pools. Conversely, overly aggressive timeouts create false failures, triggering retry storms. Proper systems balance timeout budgets across service chains (timeout propagation).