Thanks Colin for managing this release
On Tue, Jun 25, 2019 at 7:35 PM Vahid Hashemian <vahid.hashem...@gmail.com> wrote: > > Thanks Colin for managing the release! > > --Vahid > > On Tue, Jun 25, 2019 at 10:15 AM Guozhang Wang <wangg...@gmail.com> wrote: > > > Thanks for driving the release Colin! > > > > > > Guozhang > > > > On Tue, Jun 25, 2019 at 9:39 AM Colin McCabe <cmcc...@apache.org> wrote: > > > > > The Apache Kafka community is pleased to announce the release for Apache > > > Kafka 2.3.0. > > > This release includes several new features, including: > > > > > > - There have been several improvements to the Kafka Connect REST API. > > > - Kafka Connect now supports incremental cooperative rebalancing. > > > - Kafka Streams now supports an in-memory session store and window store. > > > - The AdminClient now allows users to determine what operations they are > > > authorized to perform on topics. > > > - There is a new broker start time metric. > > > - JMXTool can now connect to secured RMI ports. > > > - An incremental AlterConfigs API has been added. The old AlterConfigs > > > API has been deprecated. > > > - We now track partitions which are under their min ISR count. > > > - Consumers can now opt-out of automatic topic creation, even when it is > > > enabled on the broker. > > > - Kafka components can now use external configuration stores (KIP-421) > > > - We have implemented improved replica fetcher behavior when errors are > > > encountered > > > > > > All of the changes in this release can be found in the release notes: > > > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html > > > > > > > > > You can download the source and binary release (Scala 2.11 and 2.12) > > from: > > > https://kafka.apache.org/downloads#2.3.0 > > > > > > All of the changes in this release can be found in the release notes: > > > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html > > > > > > You can download the source and binary release (Scala 2.11 and 2.12) > > from: > > > https://kafka.apache.org/downloads#2.3.0 > > > > > > > > > > > --------------------------------------------------------------------------------------------------- > > > > > > 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 101 contributors to this release! > > > > > > Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle > > > Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob > > > Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase Walden, > > > Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks, Colin Patrick > > > McCabe, commandini, cwildman, Cyrus Vafadari, Dan Norwood, David Arthur, > > > Dejan Stojadinović, Dhruvil Shah, Doroszlai, Attila, Ewen > > Cheslack-Postava, > > > Fangbin Sun, Filipe Agapito, Florian Hussonnois, Gardner Vickers, > > Guozhang > > > Wang, Gwen Shapira, Hai-Dang Dam, highluck, huxi, huxihx, Ismael Juma, > > Ivan > > > Yurchenko, Jarrod Urban, Jason Gustafson, John Roesler, José Armando > > García > > > Sancio, Joyce Fee, Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy, > > > Konstantine Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu, > > Lee > > > Dongjin, Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar, > > > Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael Gruben > > > Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul > > Davidson, > > > pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall Hauch, > > Rohan, > > > Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep, sandmannn, sdreynolds, > > > Sebastián Ortega, Shaobo Liu, Sönke Liebau, Stanislav Kozlovski, Suman > > BN, > > > tadsul, Tcsalist, Ted Yu, Vahid Hashemian, Victoria Bialas, Viktor > > Somogyi, > > > Viktor Somogyi-Vass, Vito Jeng, wenhoujx, Xiongqi Wu, 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, > > > Colin > > > > > > > > > -- > > -- Guozhang > > > > > -- > > Thanks! > --Vahid