[ANNOUNCE] Apache Kafka 0.10.2.2 Released

2018-07-03 Thread Matthias J. Sax
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The Apache Kafka community is pleased to announce the release for
Apache Kafka 0.10.2.2.


This is a bug fix release and it includes fixes and improvements from
29 JIRAs, including a few critical bugs.


All of the changes in this release can be found in the release notes:


https://www.apache.org/dist/kafka/0.10.2.2/RELEASE_NOTES.html



You can download the source and binary release (Scala 2.11 and Scala
2.12) from:

https://kafka.apache.org/downloads#0.10.2.2


- 
- ---


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.three key capabilities:



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 30 contributors to this release!


Ewen Cheslack-Postava, Matthias J. Sax, Randall Hauch, Eno Thereska,
Damian Guy, Rajini Sivaram, Colin P. Mccabe, Kelvin Rutt, Kyle
Winkelman, Max Zheng, Guozhang Wang, Xavier Léauté, Konstantine
Karantasis, Paolo Patierno, Robert Yokota, Tommy Becker, Arjun Satish,
Xi Hu, Armin Braun, Edoardo Comar, Gunnar Morling, Gwen Shapira,
Hooman Broujerdi, Ismael Juma, Jaikiran Pai, Jarek Rudzinski, Jason
Gustafson, Jun Rao, Manikumar Reddy, Maytee Chinavanichkit


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,
 -Matthias


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[ANNOUNCE] Apache Kafka 0.11.0.3 Released

2018-07-03 Thread Matthias J. Sax
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Hash: SHA512

The Apache Kafka community is pleased to announce the release for
Apache Kafka 0.11.0.3.


This is a bug fix release and it includes fixes and improvements from
27 JIRAs, including a few critical bugs.


All of the changes in this release can be found in the release notes:


https://www.apache.org/dist/kafka/0.11.0.3/RELEASE_NOTES.html



You can download the source and binary release (Scala 2.11 and Scala
2.12) from:

https://kafka.apache.org/downloads#0.11.0.3


- 
- ---


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.three key capabilities:



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!


Matthias J. Sax, Ewen Cheslack-Postava, Konstantine Karantasis,
Guozhang Wang, Rajini Sivaram, Randall Hauch, tedyu, Jagadesh
Adireddi, Jarek Rudzinski, Jason Gustafson, Jeremy Custenborder, Anna
Povzner, Joel Hamill, John Roesler, Max Zheng, Mickael Maison, Robert
Yokota, Yaswanth Kumar, parafiend, Jiangjie (Becket) Qin, Arjun
Satish, Bill Bejeck, Damian Guy, Gitomain, Gunnar Morling, Ismael Juma


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,
 -Matthias

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[ANNOUNCE] Apache Kafka 2.2.0

2019-03-26 Thread Matthias J. Sax
The Apache Kafka community is pleased to announce the release for Apache
Kafka 2.2.0

 - Added SSL support for custom principal name
 - Allow SASL connections to periodically re-authenticate
 - Command line tool bin/kafka-topics.sh adds AdminClient support
 - Improved consumer group management
   - default group.id is `null` instead of empty string
 - API improvement
   - Producer: introduce close(Duration)
   - AdminClient: introduce close(Duration)
   - Kafka Streams: new flatTransform() operator in Streams DSL
   - KafkaStreams (and other classed) now implement AutoClosable to
support try-with-resource
   - New Serdes and default method implementations
 - Kafka Streams exposed internal client.id via ThreadMetadata
 - Metric improvements:  All `-min`, `-avg` and `-max` metrics will now
output `NaN` as default value

All of the changes in this release can be found in the release notes:
https://www.apache.org/dist/kafka/2.2.0/RELEASE_NOTES.html


You can download the source and binary release (Scala 2.11 and 2.12)
from: https://kafka.apache.org/downloads#2.2.0

---


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 98 contributors to this release!

Alex Diachenko, Andras Katona, Andrew Schofield, Anna Povzner, Arjun
Satish, Attila Sasvari, Benedict Jin, Bert Roos, Bibin Sebastian, Bill
Bejeck, Bob Barrett, Boyang Chen, Bridger Howell, cadonna, Chia-Ping
Tsai, Chris Egerton, Colin Hicks, Colin P. Mccabe, Colin Patrick McCabe,
cwildman, Cyrus Vafadari, David Arthur, Dhruvil Shah, Dong Lin, Edoardo
Comar, Flavien Raynaud, forficate, Gardner Vickers, Guozhang Wang, Gwen
(Chen) Shapira, hackerwin7, hejiefang, huxi, Ismael Juma, Jacek
Laskowski, Jakub Scholz, Jarek Rudzinski, Jason Gustafson, Jingguo Yao,
John Eismeier, John Roesler, Jonathan Santilli, jonathanskrzypek, Jun
Rao, Kamal Chandraprakash, Kan Li, Konstantine Karantasis, lambdaliu,
Lars Francke, layfe, Lee Dongjin, linyli001, lu.ke...@berkeley.edu,
Lucas Bradstreet, Magesh Nandakumar, Manikumar Reddy, Manikumar Reddy O,
Manohar Vanam, Mark Cho, Mathieu Chataigner, Matthias J. Sax, Matthias
Wessendorf, matus-cuper, Max Zheng, Mayuresh Gharat, Mickael Maison,
mingaliu, Nikolay, occho, Pasquale Vazzana, Radai Rosenblatt, Rajini
Sivaram, Randall Hauch, Renato Mefi, Richard Yu, Robert Yokota, Ron
Dagostino, ryannatesmith, Samuel Hawker, Satish Duggana, Sayat, seayoun,
Shawn Nguyen, slim, Srinivas Reddy, Stanislav Kozlovski, Stig Rohde
Døssing, Suman, Tom Bentley, u214578, Vahid Hashemian, Viktor Somogyi,
Viktor Somogyi-Vass, Xi Yang, Xiongqi Wu, ying-zheng, Yishun Guan,
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,

Matthias