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Message queues allow services to communicate asynchronously, improving scalability and reliability.

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

Poison messages in Kafka can cause infinite retries, risking system stability.

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

Kafka uses state stores to remember previous events in stateful stream processing.

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

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

Kafka uses retry topics and delayed retries to manage message failures efficiently.