Thanks Chris! Regarding the post announcement release steps: 1) It looks like another PMC member already added the release to the Apache Reporter System, so it's done 2) I removed older releases (3.3.1) from the SVN repository
On Wed, Jan 25, 2023 at 4:34 PM Bill Bejeck <b...@confluent.io.invalid> wrote: > > Thanks for running the release Chris! > > On Mon, Jan 23, 2023 at 5:18 PM Chris Egerton <ceger...@apache.org> wrote: > > > The Apache Kafka community is pleased to announce the release for Apache > > Kafka 3.3.2 > > > > Apache Kafka 3.3.2 is a bugfix release and it contains, among other things, > > fixes for 20 issues reported since 3.3.1. > > > > All of the changes in this release can be found in the release notes: > > https://www.apache.org/dist/kafka/3.3.2/RELEASE_NOTES.html > > > > > > You can download the source and binary release (Scala 2.12 and 2.13) from: > > https://kafka.apache.org/downloads#3.3.2 > > > > > > --------------------------------------------------------------------------------------------------- > > > > > > 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 39 contributors to this release! > > > > A. Sophie Blee-Goldman, Alyssa Huang, Artem Livshits, Bill Bejeck, Calvin > > Liu, Chia-Ping Tsai, Chris Egerton, Christo Lolov, Colin Patrick McCabe, > > Dan Stelljes, David Arthur, David Jacot, Divij Vaidya, FUNKYE, Greg Harris, > > Huilin Shi, Igor Soarez, Ismael Juma, Jason Gustafson, Jeff Kim, Jorge > > Esteban Quilcate Otoya, José Armando García Sancio, Justine Olshan, Kirk > > True, liuzhuang2017, Lucas Brutschy, Luke Chen, Matthias J. Sax, Mickael > > Maison, Niket, Pratim SC, Purshotam Chauhan, Rohan, Ron Dagostino, Shawn, > > srishti-saraswat, Sushant Mahajan, Vicky Papavasileiou, zou shengfu > > > > 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, > > > > Chris > >
