What methods of data flow management do you know in high-load systems?

In high-load systems, the following methods are used to manage data flow:

• Buffering — temporary storage of data to smooth out peak loads.
• Token Bucket and Rate Limiting — limiting the rate of incoming requests or data.
• Backpressure — a mechanism where the consumer signals to the producer its ability to accept data, preventing overflow.
• Message Queues — asynchronous data transfer through brokers (e.g., Kafka, RabbitMQ), which helps balance the load.
• Parallelism and Thread Parallelization — distributing data processing across multiple threads or processes.
• Caching — reducing load on data sources by storing frequently requested information.

Example: in Android, RxJava with backpressure operators is often used to control event processing speed and prevent system overload.