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

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

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

Kafka Schema Evolution allows safe changes to message structures without breaking existing consumers.

Backpressure helps manage message flow in Kafka during traffic spikes.

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

Kafka uses retries and Dead Letter Queues to manage message processing failures.

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

Kafka can help ensure messages are processed once, but requires careful design.

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

Jitter helps spread out client retries to avoid traffic spikes.