์ค์๊ฐ ์์ง์ด๋ ๋ฐ์ดํฐ๊ฐ ๊ฐ์ ธ๋ค ์ค ๊ฐ์น, Data in Motion Tour์์ ํ์ธํ์ธ์!
This month saw the proposal of a few KIPs which will have a big impact on Apache Kafkaโs semantics as well as Kafkaโs operability.
Lots of interesting happenings occurred in the wider streaming community as well, notably:
And last but not least, Confluent released version 3.1 of Confluent Platform.
Happy Holidays!
Learn why configuring consumer Group IDs are a crucial part of designing your consumer application. By the end of this post, youโll understand the impact they have on three areas: work sharing, new data detection, and data recovery.
If youโve used Kafka for any amount of time youโve likely heard about connections; the most common place that they come up is in regard to clients. Sure, producer and consumer clients connect to the cluster to do their jobs, but it doesnโt stop there. Nearly all interactions across a cluster...