Scaling RabbitMQ involves scaling consumers (parallel processing), clustering (multiple nodes), and managing queues and load. RabbitMQ scales differently from Kafka, and understanding its scaling approaches and limits is important for high-load deployments.
Scaling consumers (the main lever)
✓ ADD CONSUMERS → multiple consumers on a queue process messages in PARALLEL (competing
consumers) → scale processing throughput → the primary way to scale consumption
✓ tune PREFETCH for fair, efficient distribution
✓ make processing efficient (fast consumers handle more)
→ horizontal consumer scaling handles more message processing
