Anna Povzner kicks off the conversation with Tim Berglund by explaining what multi-tenancy is, why it is worthy to be desired, and advantages over single-tenant architecture. By putting more applications and use cases on the same Kafka cluster instead of having a separate Kafka cluster for each individual application and use case, multi-tenancy helps minimize the costs of physical machines and also maintenance.
It’s Halloween again, which means Anna McDonald (Staff Technical Account Manager, Confluent) is back for another spooktacular episode of Streaming Audio. In this episode, Anna shares six of the most spine-chilling, hair-raising Kafka JIRAs from the past year.
Neil Buesing, an Apache Kafka community stalwart at Object Partners, discusses the concept of a CoE (center of excellence), and how a CoE is integral to attain and sustain world-class performance, business value, and success in a business.
Apache Kafka 2.6 is out! This release includes progress toward adding client quota APIs to the admin client, exposing disk read and write metrics, and support for Java 14, in addition to Kafka Connect and Kafka Streams updates.
The five components of latency are produce time, publish time, commit time, catch-up time, and fetch time. When consumer pulling adds to latency, Anna Povzner shares some best practices to keep in mind for how to think about partitioning in conjunction with latency. She also discusses client configuration in the cloud, interesting problems she's helped solve for customers, and her top two tips for debugging latency.
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.
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