Dong, thanks for driving the release! On Thu, Jul 19, 2018 at 6:51 PM, Ismael Juma <isma...@gmail.com> wrote:
> Thank you for managing the release Dong! > > Ismael > > On Thu, 19 Jul 2018, 16:54 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 > > > -- -- Guozhang
