On Thu, Jul 19, 2018 at 4:53 PM, Dong Lin <lind...@apache.org> wrote:
> 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 >
