The document discusses using Apache Kafka to improve data upload availability from 99.9% to 99.99% when moving data between on-premise and cloud storage. It describes using Kafka to trigger uploads to the cloud from on-premise storage with 99.9% availability and using Kafka to split uploads between cloud and on-premise storage as well as rehydrating failed on-premise uploads from the cloud to achieve 99.99% availability. The presentation concludes that Kafka provides high throughput and persistence needed to design effective data rehydration strategies across cloud and on-premise storage for very high availability.