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Availability Zones help prevent downtime by isolating failures across multiple locations.

Global Load Balancing helps route users to the nearest and healthiest server region.

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

Microservices are useful when you need independent scaling, deployment, and clear boundaries in software design.

Dynamo-style databases are designed for high availability and fault tolerance in distributed systems.

Stream Processing Architecture helps turn incoming events into real-time insights efficiently.

Global failover ensures applications remain available by redirecting traffic from failed regions to functioning ones.

Cassandra uses clustering keys to sort rows within a partition for efficient querying.

Elasticsearch uses distributed architecture to search data quickly across multiple servers.

Cross-region database replication keeps databases synchronized across different geographical locations.

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

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