Any concept.
clear in 60 seconds.

Cache breakdowns can overwhelm databases, but request coalescing solves this issue.

Connection pooling reuses database connections but can cause issues if misconfigured.

Vector clocks help track the order and concurrency of events in distributed systems.

Older offsets can overwrite newer ones in Kafka if not handled properly.

Cache stampede occurs when many requests hit the database due to a cache miss.

The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.

Kafka can help ensure messages are processed once, but requires careful design.

Causality in distributed systems helps understand how events influence each other, beyond just timestamps.