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
>

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