Thanks Vahid. -Harsha
On Mon, Jun 3, 2019, at 9:21 AM, Jonathan Santilli wrote: > That's fantastic! thanks a lot Vahid for managing the release. > > -- > Jonathan > > > > > On Mon, Jun 3, 2019 at 5:18 PM Mickael Maison <mickael.mai...@gmail.com> > wrote: > > > Thank you Vahid > > > > On Mon, Jun 3, 2019 at 5:12 PM Wladimir Schmidt <wlsc....@gmail.com> > > wrote: > > > > > > Thanks Vahid! > > > > > > On Mon, Jun 3, 2019, 16:23 Vahid Hashemian <va...@apache.org> wrote: > > > > > > > The Apache Kafka community is pleased to announce the release for > > Apache > > > > Kafka 2.2.1 > > > > > > > > This is a bugfix release for Kafka 2.2.0. All of the changes in this > > > > release can be found in the release notes: > > > > https://www.apache.org/dist/kafka/2.2.1/RELEASE_NOTES.html > > > > > > > > You can download the source and binary release from: > > > > https://kafka.apache.org/downloads#2.2.1 > > > > > > > > > > > > > > --------------------------------------------------------------------------------------------------- > > > > > > > > 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. > > > > > > > > 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 30 contributors to this release! > > > > > > > > Anna Povzner, Arabelle Hou, A. Sophie Blee-Goldman, Bill Bejeck, Bob > > > > Barrett, Chris Egerton, Colin Patrick McCabe, Cyrus Vafadari, Dhruvil > > Shah, > > > > Doroszlai, Attila, Guozhang Wang, huxi, Jason Gustafson, John Roesler, > > > > Konstantine Karantasis, Kristian Aurlien, Lifei Chen, Magesh > > Nandakumar, > > > > Manikumar Reddy, Massimo Siani, Matthias J. Sax, Nicholas Parker, > > pkleindl, > > > > Rajini Sivaram, Randall Hauch, Sebastián Ortega, Vahid Hashemian, > > Victoria > > > > Bialas, Yaroslav Klymko, Zhanxiang (Patrick) Huang > > > > > > > > We welcome your help and feedback. For more information on how to > > report > > > > problems, and to get involved, visit the project website at > > > > https://kafka.apache.org/ > > > > > > > > Thank you! > > > > > > > > Regards, > > > > --Vahid Hashemian > > > > > > > > > -- > Santilli Jonathan >
