Nick Dearden explains the five stages of streaming maturity, from the first streaming project you ever build all the way to a state where an entire organization is transformed to think in terms of real-time, event-driven systems.

Tim Berglund and Viktor Gamov address some of the challenges and pitfalls of managing Kafka on Kubernetes at scale. They also share lessons learned from the development of the Confluent Operator for Kubernetes.

Use KSQL to calculate the difference between the expected arrival time and real-time updates of a bus as it executes its route. Leslie Kurt walks you through fundamental concepts, persistent queries, Confluent MQTT Proxy and other use cases.

Apache Kafka 2.1 featured an interesting change to the table API—commonly known to the world as KIP-328—that gives you better control over how updates to tables are emitted into destination topics. Join John Roesler for a clear explanation of it.

Tim Berglund chats with Systems Engineer Pascal Vantrepote about the KSQL recipe he created based on a real-life customer use case in the financial services industry. They also discuss the advantages of KSQL, including no Java coding required.