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

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.

Fallbacks allow systems to handle failures safely and maintain user experience.

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

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

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

Classifying failures and using controlled retries in Kafka prevents outages.

Cascading failures occur when one service's failure impacts others, causing widespread issues.

The dual-write trap in Elasticsearch can cause data inconsistency during reindexing.

Elasticsearch CCR allows real-time data replication for faster disaster recovery.

Timeouts in distributed systems indicate suspicion, not confirmed failure.