Thank you Bill ! Congratulations to the community.
On Mon, Dec 21, 2020 at 4:08 PM Randall Hauch <rha...@apache.org> wrote: > Fantastic! Thanks for driving the release, Bill. > > Congratulations to the whole Kafka community. > > On Mon, Dec 21, 2020 at 5:55 PM Gwen Shapira <g...@confluent.io> wrote: > > > wooohoooo!!! > > > > Great job on the release Bill and everyone! > > > > On Mon, Dec 21, 2020 at 8:01 AM Bill Bejeck <bbej...@apache.org> wrote: > > > > > > The Apache Kafka community is pleased to announce the release for > Apache > > > Kafka 2.7.0 > > > > > > * Configurable TCP connection timeout and improve the initial metadata > > fetch > > > * Enforce broker-wide and per-listener connection creation rate > (KIP-612, > > > part 1) > > > * Throttle Create Topic, Create Partition and Delete Topic Operations > > > * Add TRACE-level end-to-end latency metrics to Streams > > > * Add Broker-side SCRAM Config API > > > * Support PEM format for SSL certificates and private key > > > * Add RocksDB Memory Consumption to RocksDB Metrics > > > * Add Sliding-Window support for Aggregations > > > > > > This release also includes a few other features, 53 improvements, and > 91 > > > bug fixes. > > > > > > All of the changes in this release can be found in the release notes: > > > https://www.apache.org/dist/kafka/2.7.0/RELEASE_NOTES.html > > > > > > You can read about some of the more prominent changes in the Apache > Kafka > > > blog: > > > https://blogs.apache.org/kafka/entry/what-s-new-in-apache4 > > > > > > You can download the source and binary release (Scala 2.12, 2.13) from: > > > https://kafka.apache.org/downloads#2.7.0 > > > > > > > > > --------------------------------------------------------------------------------------------------- > > > > > > > > > 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 117 contributors to this release! > > > > > > A. Sophie Blee-Goldman, Aakash Shah, Adam Bellemare, Adem Efe Gencer, > > > albert02lowis, Alex Diachenko, Andras Katona, Andre Araujo, Andrew > Choi, > > > Andrew Egelhofer, Andy Coates, Ankit Kumar, Anna Povzner, Antony > Stubbs, > > > Arjun Satish, Ashish Roy, Auston, Badai Aqrandista, Benoit Maggi, bill, > > > Bill Bejeck, Bob Barrett, Boyang Chen, Brian Byrne, Bruno Cadonna, Can > > > Cecen, Cheng Tan, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe, > > > David Arthur, David Jacot, David Mao, Dhruvil Shah, Dima Reznik, > Edoardo > > > Comar, Ego, Evelyn Bayes, feyman2016, Gal Margalit, gnkoshelev, Gokul > > > Srinivas, Gonzalo Muñoz, Greg Harris, Guozhang Wang, high.lee, > > huangyiming, > > > huxi, Igor Soarez, Ismael Juma, Ivan Yurchenko, Jason Gustafson, Jeff > > Kim, > > > jeff kim, Jesse Gorzinski, jiameixie, Jim Galasyn, JoelWee, John > Roesler, > > > John Thomas, Jorge Esteban Quilcate Otoya, Julien Jean Paul Sirocchi, > > > Justine Olshan, khairy, Konstantine Karantasis, Kowshik Prakasam, leah, > > Lee > > > Dongjin, Leonard Ge, Levani Kokhreidze, Lucas Bradstreet, Lucent-Wong, > > Luke > > > Chen, Mandar Tillu, manijndl7, Manikumar Reddy, Mario Molina, Matthias > J. > > > Sax, Micah Paul Ramos, Michael Bingham, Mickael Maison, Navina Ramesh, > > > Nikhil Bhatia, Nikolay, Nikolay Izhikov, Ning Zhang, Nitesh Mor, Noa > > > Resare, Rajini Sivaram, Raman Verma, Randall Hauch, Rens Groothuijsen, > > > Richard Fussenegger, Rob Meng, Rohan, Ron Dagostino, Sanjana Kaundinya, > > > Sasaki Toru, sbellapu, serjchebotarev, Shaik Zakir Hussain, Shailesh > > > Panwar, Sharath Bhat, showuon, Stanislav Kozlovski, Thorsten Hake, Tom > > > Bentley, tswstarplanet, vamossagar12, Vikas Singh, vinoth chandar, Vito > > > Jeng, voffcheg109, xakassi, Xavier Léauté, Yuriy Badalyantc, Zach Zhang > > > > > > 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 > > > > > > > > -- > > Gwen Shapira > > Engineering Manager | Confluent > > 650.450.2760 | @gwenshap > > Follow us: Twitter | blog > > > -- -- Guozhang
