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

gRPC allows efficient communication between services using a structured request-response model.

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

Graceful degradation allows apps to function partially during service failures.

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

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

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

Failover ensures systems remain operational by managing leader changes during failures.

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

ZooKeeper coordinates distributed systems using an ensemble of servers and the ZAB protocol.

The Circuit Breaker pattern controls service calls to prevent failures from spreading.