Thank you Mickael! On Mon, Mar 14, 2022 at 6:47 PM John Roesler <vvcep...@apache.org> wrote:
> Yes, thank you, Mickael! > -John > > On Mon, 2022-03-14 at 12:19 +0100, Bruno Cadonna wrote: > > Thanks Mickael for driving this release! > > > > Best, > > Bruno > > > > On 14.03.22 11:42, Mickael Maison wrote: > > > The Apache Kafka community is pleased to announce the release for > > > Apache Kafka 3.0.1 > > > > > > Apache Kafka 3.0.1 is a bugfix release and 29 issues have been fixed > > > since 3.0.0. > > > > > > All of the changes in this release can be found in the release notes: > > > https://www.apache.org/dist/kafka/3.0.1/RELEASE_NOTES.html > > > > > > > > > You can download the source and binary release (Scala 2.12 and 2.13) > from: > > > https://kafka.apache.org/downloads#3.0.1 > > > > > > > --------------------------------------------------------------------------------------------------- > > > > > > > > > Apache Kafka is a distributed streaming platform with four core APIs: > > > > > > > > > ** The Producer API allows an application to publish a stream of > 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 26 contributors to this release! > > > > > > A. Sophie Blee-Goldman, Andras Katona, Bruno Cadonna, Chris Egerton, > > > Cong Ding, David Jacot, dengziming, Edoardo Comar, Ismael Juma, Jason > > > Gustafson, jiangyuan, Kevin Zhang, Konstantine Karantasis, Lee > > > Dongjin, Luke Chen, Marc Löhe, Matthias J. Sax, Michael Carter, > > > Mickael Maison, Oliver Hutchison, Philip Nee, Prateek Agarwal, > > > prince-mahajan, Rajini Sivaram, Randall Hauch, Walker Carlson > > > > > > 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, > > > Mickael Maison > > > > > -- Josep Prat *Aiven Deutschland GmbH* Immanuelkirchstraße 26, 10405 Berlin Amtsgericht Charlottenburg, HRB 209739 B Geschäftsführer: Oskari Saarenmaa & Hannu Valtonen *m:* +491715557497 *w:* aiven.io *e:* josep.p...@aiven.io
