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What strategies can be implemented to handle a sudden spike in incoming messages while maintaining API performance and preventing message delivery delays?



Several strategies can be implemented to handle a sudden spike in incoming messages and maintain API performance. Firstly, implement message queuing. Use a message queue system (e.g., RabbitMQ, Kafka) to decouple the message processing from the API endpoint. Incoming messages are placed in the queue, and worker processes consume messages from the queue at their own pace. This prevents the API from being overwhelmed during peak periods. A 'message queue' is a buffer that stores messages until they can be processed. Secondly, scale horizontally. Scale your application horizon....

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