Any concept.
clear in 60 seconds.

A timeout indicates a deadline was exceeded, not necessarily a failure.

Token Bucket allows burst traffic, while Leaky Bucket smooths out traffic flow.

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

The Token Bucket algorithm helps manage how many requests a server can handle.

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

Choosing the right distributed lock depends on your system's needs and existing tools.

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

The retry pattern helps systems recover from temporary failures but can cause overload if misused.

Lamport Timestamps help order events in distributed systems while preserving causality.

Timeouts in distributed systems indicate suspicion, not confirmed failure.

Distributed locks ensure only one server performs a task, avoiding duplication.

Cache invalidation is about knowing when to refresh cached data.

Cache eviction policies determine which data to remove when caches are full.

Optimistic and pessimistic locking are strategies to manage database access during concurrent transactions.

The USE Method helps find and analyze infrastructure bottlenecks in software systems.