The article explains Kafka consumer lag, which refers to the delay between data being produced and consumed by Kafka consumers. It highlights the significance of monitoring consumer lag to ensure efficient data processing and system performance, and discusses various methods to measure and manage this lag effectively.
The article discusses KIP-1150, a proposal for enabling diskless operation in Apache Kafka, which aims to enhance performance and reduce storage costs by allowing Kafka brokers to operate without local disk storage. This shift is expected to simplify deployments and improve scalability in cloud environments.