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From jun...@apache.org (Jun Rao)
Subject [ANNOUCE] Apache Kafka Released
Date Fri, 19 Feb 2016 18:03:58 GMT
The Apache Kafka community is pleased to announce the release for Apache Kafka
This is a bug fix release that fixes 70 issues reported in

All of the changes in this release can be found: https://www.apache.org/dyn/closer.cgi?path=/kafka/

Apache Kafka is high-throughput, publish-subscribe messaging system rethought of as a distributed
commit log.

** Fast => A single Kafka broker can handle hundreds of megabytes of reads and
writes per second from thousands of clients.

** Scalable => Kafka is designed to allow a single cluster to serve as the central data
for a large organization. It can be elastically and transparently expanded without downtime.
Data streams are partitioned and spread over a cluster of machines to allow data streams
larger than the capability of any single machine and to allow clusters of co-ordinated consumers.

** Durable => Messages are persisted on disk and replicated within the cluster to prevent
data loss. Each broker can handle terabytes of messages without performance impact.

** Distributed by Design => Kafka has a modern cluster-centric design that offers
strong durability and fault-tolerance guarantees.

You can download the source release from

and binary releases from

A big thank you for the following people who have contributed to the release.

Adam Kunicki, Alex Sherwin, Ashish Singh, Ben Stopford, BINLEI XUE,
David Jacot, Denise Fernandez, Dmitry Stratiychuk, Dong Lin, Edward
Ribeiro, Eno Thereska, Ewen Cheslack-Postava, Geoff Anderson, Grant
Henke, Guozhang Wang, Gwen Shapira, Ismael Juma, Jaikiran Pai, James
Cheng, Jason Gustafson, Jay Kreps, Jesse Anderson, Jiangjie Qin, Jin
Xing, Jun Rao, Kim Christensen, Kishore Senji, Luciano Afranllie,
Magnus Edenhill, Maksim Logvinenko, Mayuresh Gharat, Michael Blume,
Piotr Szwed, Praveen Devarao, Rajini Sivaram, Sasaki Toru, Tao Xiao,
Tom Graves, Tomasz Nurkiewicz, Vahid Hashemian, Xin Wang, Yifan Ying

We welcome your help and feedback. For more information on how to
report problems, and to get involved, visit the project website at http://kafka.apache.org/



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