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The Saga Pattern manages distributed transactions using local transactions and compensating actions.

Microservices can communicate using five key patterns based on their needs.

The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.

Kafka consumer reprocessing involves safely replaying events to correct system states.

Kafka consumers can fetch data in batches to improve throughput and reduce latency.

Older offsets can overwrite newer ones in Kafka if not handled properly.

gRPC supports four communication patterns: Unary, Server Streaming, Client Streaming, and Bidirectional Streaming.

Kafka commit strategies determine how offsets are managed during message processing.