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

Request-Response asks for a result, while Events notify that something has happened.

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

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

Backpressure helps manage message flow in Kafka during traffic spikes.

Queues distribute tasks to one consumer, while Pub/Sub broadcasts events to multiple subscribers.

Backpressure prevents system overload by managing message processing rates in Kafka.

Graceful degradation allows apps to function partially during service failures.

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

A Circuit Breaker helps prevent system failures by stopping calls to unhealthy services.

Database per Service ensures each microservice owns its data, reducing dependencies.