Lucas and Luna dive into Apache Kafka's evolution from a LinkedIn messaging system to the de facto standard for event-driven architecture in 2026. They unpack how Kafka's log-based design handles millions of events per second at companies like Uber and Netflix, why its ecosystem has grown to include Kafka Connect and Kafka Streams, and how new tiered storage and KRaft consensus are reshaping its future. The hosts also discuss the trade-offs between Kafka and alternatives like Redpanda and Pulsar, and why event-driven architecture is now a core pattern for real-time data pipelines, microservices, and AI training data ingestion.

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