Confluent Cloud Q1 Launch: Build a Secure Shared Services Data Streaming Platform | Learn more
Welcome to the February 2016 edition of Log Compaction, a monthly digest of highlights in the Apache Kafka and stream processing community. Got a newsworthy item? Let us know.
Learn why configuring consumer Group IDs are a crucial part of designing your consumer application. By the end of this post, you’ll understand the impact they have on three areas: work sharing, new data detection, and data recovery.
If you’ve used Kafka for any amount of time you’ve 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 doesn’t stop there. Nearly all interactions across a cluster...