Thank you for your kind words! In an event-driven architecture, when the number of the same events increases, these events are indeed queued.

1. Event Bus/Message Broker: Systems like Apache Kafka or RabbitMQ handle event routing and queuing.

2. Queuing Mechanism: Events are queued until consumers are ready to process them.

3. Load Handling: The system can scale by adding more consumers to handle the increased load efficiently.

For example, in an IoT application, if many sensors send events simultaneously, an event bus will queue these events.

More consumer instances can be added to process the events without overwhelming the system.

Event-driven architecture uses queuing to manage high event volumes, ensuring efficient processing and scalability.