How did you solve the problem of a hot dialogue with a thousand messages per minute?

Several approaches are used to handle hot dialogues with a thousand messages per minute:

1. Infrastructure scaling — using server clusters, load balancers to distribute message flow.

2. Message queues and brokers — implementing systems like Kafka, RabbitMQ for buffering and asynchronous message processing.

3. Database optimization — using fast NoSQL stores, caching, data sharding.

4. Data compression and aggregation — combining messages, filtering to reduce load.

5. Implementing backpressure and throttling — limiting the rate of incoming messages from clients.

6. Using WebSocket or other low-latency protocols for efficient message transmission.

7. Monitoring and alerting — to quickly respond to overloads.

Together, these methods ensure the stable operation of the system under high message volume.