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As always, we bring you news, updates and recommended content from the hectic world of Apache Kafka® and stream processing.
Sometimes it seems that in Apache Kafka every improvement is preceded by an involved KIP process. This month we’ve merged a great patch that improved the 99% latency of Kafka without requiring user visible changes: https://issues.apache.org/jira/browse/KAFKA-4614. Not only does it make a fast system even faster, the JIRA itself is worthy of study. I wish all JIRAs included this level of research.
Some important improvements do require KIPs. Here is what we’ve seen in active discussions this month:
Notable Blogs and Presentations:
In this post, the second in the Kafka Producer and Consumer Internals Series, we follow our brave hero—a well-formed produce request—which is on its way to be processed by the broker and have its data stored on the cluster.
The beauty of Kafka as a technology is that it can do a lot with little effort on your part. In effect, it’s a black box. But what if you need to see into the black box to debug something? This post shows what the producer does behind the scenes to help prepare your raw event data for the broker.