Listen to Tim Berglund and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Do metrics for detecting clients from old versions actually exist? Or is Gwen making features up? This and more useful advice is coming up on today's episode of Ask Confluent.
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 is a teacher, author, and technology leader with Confluent, where he serves as the senior director of developer advocacy. He can frequently be found at speaking at conferences in the U.S. and all over the world. Tim is the co-presenter of various O'Reilly training videos on topics ranging from Git to distributed systems, and he is the author of "Gradle Beyond the Basics." He lives in Littleton, CO, U.S., with the wife of his youth.
If there's something you want to know about Apache Kafka, Confluent or event streaming, please send us an email with your question and we'll hope to answer it on the next episode of Ask Confluent.Email Us
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