How do Kotlin systems handle cascading failure in microservice networks?

Cascading failures occur when one service failure propagates across dependent services due to lack of isolation.

In Kotlin-based microservices, cascading failures often happen when services synchronously depend on each other without isolation. A slow service causes upstream services to block coroutines waiting for responses. Without circuit breakers or bulkheads, this spreads across the system. Proper design isolates failures using timeouts, fallback responses, and asynchronous messaging.