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

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

Distributed caching spreads data across multiple servers for better performance and reliability.

Network partitions occur when servers are operational but can't communicate, affecting system performance.

The CAP Theorem explains the trade-offs in distributed systems during network failures.

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

2-Phase Commit helps maintain data consistency in transactions across multiple databases.

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