Join Kris Jenkins and guests from the community as they discuss the latest Apache Kafka® news, use cases, and trends spanning the topics of data streaming, microservices, modern IT architectures, and the cloud.
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.
Kris Jenkins is a senior developer advocate for Confluent, a veteran contractor, and former CTO and co-founder of a gold-trading business. He's especially interested in software design, functional programming, real-time systems, and electronic music.
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