Race conditions in microservice architecture can lead to unexpected behaviors due to events or requests not being processed in the expected order.
Examples include events received out of order and concurrent database updates, which can result in inconsistencies in the system.
Common approaches to dealing with race conditions include designing for idempotency, implementing locking mechanisms, retrying on out-of-order execution, using FIFO queues, event sourcing, outbox pattern, and atomic counters.
The author shares personal experiences and solutions to handling race conditions in microservices, highlighting the importance of addressing such issues in distributed systems.