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Distributed backpressure helps manage the flow of work between services to prevent overload.

The Bulkhead Pattern isolates resources to protect critical workloads from failures.

Eager rebalancing revokes all assignments, while cooperative allows incremental changes.

Load shedding helps systems reject excess requests to maintain performance during high demand.

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

Vertical scaling means upgrading one server, while horizontal scaling means adding more servers.

Kafka rebalance can lead to lost or duplicated work if not handled carefully.

Kafka rebalances consumer groups to manage partition assignments effectively.