Thanks Bill for managing this release!
On Fri, Mar 13, 2020 at 5:58 AM Guozhang Wang <wangg...@gmail.com> wrote: > > Thanks Bill for driving this. And Many thanks to all who've contributed to > this release! > > > Guozhang > > On Thu, Mar 12, 2020 at 3:00 PM Matthias J. Sax <mj...@apache.org> wrote: > > > Thanks for driving the release Bill! > > > > -Matthias > > > > On 3/12/20 1:22 PM, Bill Bejeck wrote: > > > The Apache Kafka community is pleased to announce the release for Apache > > > Kafka 2.4.1 > > > > > > This is a bug fix release and it includes fixes and improvements from 39 > > > JIRAs, including a few critical bugs. > > > > > > All of the changes in this release can be found in the release notes: > > > https://www.apache.org/dist/kafka/2.4.1/RELEASE_NOTES.html > > > > > > > > > You can download the source and binary release (Scala 2.11, 2.12, and > > 2.13) > > > from: > > > https://kafka.apache.org/downloads#2.4.1 > > > > > > > > --------------------------------------------------------------------------------------------------- > > > > > > > > > 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 35 contributors to this release! > > > > > > A. Sophie Blee-Goldman, Alex Kokachev, bill, Bill Bejeck, Boyang Chen, > > > Brian Bushree, Brian Byrne, Bruno Cadonna, Chia-Ping Tsai, Chris Egerton, > > > Colin Patrick McCabe, David Jacot, David Kim, David Mao, Dhruvil Shah, > > > Gunnar Morling, Guozhang Wang, huxi, Ismael Juma, Ivan Yurchenko, Jason > > > Gustafson, John Roesler, Konstantine Karantasis, Lev Zemlyanov, Manikumar > > > Reddy, Matthew Wong, Matthias J. Sax, Michael Gyarmathy, Michael Viamari, > > > Nigel Liang, Rajini Sivaram, Randall Hauch, Tomislav, Vikas Singh, Xin > > Wang > > > > > > 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, > > > > > > Bill Bejeck > > > > > > > > > -- > -- Guozhang
