Trivago trims Kafka consumer spend 83% by fixing a slow poll
Trivago slashed the cost of running its price‑search Kafka consumer by 83% by replacing a home‑grown reactive receiver with spring‑kafka and fixing a slow poll loop that triggered broker timeouts. The tweak eliminated costly over‑provisioned pods and stopped a streak of production incidents, freeing capacity and cutting cloud spend dramatically.