The Apache Kafka community is pleased to announce the release for Apache Kafka 1.1.1.
This is a bug fix release and it includes fixes and improvements from 43 JIRAs, including a few critical bugs. All of the changes in this release can be found in the release notes: https://dist.apache.org/repos/dist/release/kafka/1.1.1/RELEASE_NOTES.html You can download the source release from: *https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka-1.1.1-src.tgz <https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka-1.1.1-src.tgz>* and binary releases from: *https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.11-1.1.1.tgz <https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.11-1.1.1.tgz>* (Scala 2.11) *https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.12-1.1.1.tgz <https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.12-1.1.1.tgz>* (Scala 2.12) ------------------------------------------------------------ --------------------------------------- Apache Kafka is a distributed streaming platform with four core APIs: ** The Producer API allows an application to publish a stream records to one or more Kafka topics. ** The Consumer API allows an application to subscribe to one or more topics and process the stream of records produced to them. ** The Streams API allows an application to act as a stream processor, consuming an input stream from one or more topics and producing an output stream to one or more output topics, effectively transforming the input streams to output streams. ** The Connector API allows building and running reusable producers or consumers that connect Kafka topics to existing applications or data systems. For example, a connector to a relational database might capture every change to a table.three key capabilities: With these APIs, Kafka can be used for two broad classes of application: ** Building real-time streaming data pipelines that reliably get data between systems or applications. ** Building real-time streaming applications that transform or react to the streams of data. Apache Kafka is in use at large and small companies worldwide, including Capital One, Goldman Sachs, ING, LinkedIn, Netflix, Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and Zalando, among others. A big thank you for the following 29 contributors to this release! Ismael Juma, Rajini Sivaram, Matthias J. Sax, Guozhang Wang, Anna Povzner, tedyu, Jagadesh Adireddi, John Roesler, Manikumar Reddy O, Randall Hauch, Attila Sasvari, Chia-Ping Tsai, Colin Patrick McCabe, Dhruvil Shah, Fedor Bobin, Gitomain, Gunnar Morling, Jarek Rudzinski, Jason Gustafson, Jun Rao, Mickael Maison, Robert Yokota, Vahid Hashemian, Valentino Proietti, fredfp, huxi, maytals, ro7m, yaphet 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/ Thank you! Regards, Dong
