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From Jun Rao <...@confluent.io>
Subject Re: [kafka-clients] [ANNOUNCE] Apache Kafka 1.0.0 Released
Date Thu, 02 Nov 2017 01:22:55 GMT

Thanks for running the release!


On Wed, Nov 1, 2017 at 7:27 AM, Guozhang Wang <wangguoz@gmail.com> wrote:

> The Apache Kafka community is pleased to announce the release for Apache
> Kafka 1.0.0.
> This is a major release of the Kafka project, and is no mere bump of the
> version number. The Apache Kafka Project Management Committee has packed a
> number of valuable enhancements into the release. Let me summarize a few of
> them:
> ** Since its introduction in version 0.10, the Streams API has become
> hugely popular among Kafka users, including the likes of Pinterest,
> Rabobank, Zalando, and The New York Times. In 1.0, the the API continues to
> evolve at a healthy pace. To begin with, the builder API has been improved
> (KIP-120). A new API has been added to expose the state of active tasks at
> runtime (KIP-130). Debuggability gets easier with enhancements to the
> print() and writeAsText() methods (KIP-160). And if that’s not enough,
> check out KIP-138 and KIP-161 too. For more on streams, check out the
> Apache Kafka Streams documentation (https://kafka.apache.org/docu
> mentation/streams/), including some helpful new tutorial videos.
> ** Operating Kafka at scale requires that the system remain observable,
> and to make that easier, we’ve made a number of improvements to metrics.
> These are too many to summarize without becoming tedious, but Connect
> metrics have been significantly improved (KIP-196), a litany of new health
> check metrics are now exposed (KIP-188), and we now have a global topic and
> partition count (KIP-168). Check out KIP-164 and KIP-187 for even more.
> ** We now support Java 9, leading, among other things, to significantly
> faster TLS and CRC32C implementations. Over-the-wire encryption will be
> faster now, which will keep Kafka fast and compute costs low when
> encryption is enabled.
> ** In keeping with the security theme, KIP-152 cleans up the error
> handling on Simple Authentication Security Layer (SASL) authentication
> attempts. Previously, some authentication error conditions were
> indistinguishable from broker failures and were not logged in a clear way.
> This is cleaner now.
> ** Kafka can now tolerate disk failures better. Historically, JBOD
> storage configurations have not been recommended, but the architecture has
> nevertheless been tempting: after all, why not rely on Kafka’s own
> replication mechanism to protect against storage failure rather than using
> RAID? With KIP-112, Kafka now handles disk failure more gracefully. A
> single disk failure in a JBOD broker will not bring the entire broker down;
> rather, the broker will continue serving any log files that remain on
> functioning disks.
> ** Since release 0.11.0, the idempotent producer (which is the producer
> used in the presence of a transaction, which of course is the producer we
> use for exactly-once processing) required max.in.flight.requests.per.connection
> to be equal to one. As anyone who has written or tested a wire protocol can
> attest, this put an upper bound on throughput. Thanks to KAFKA-5949, this
> can now be as large as five, relaxing the throughput constraint quite a bit.
> All of the changes in this release can be found in the release notes:
> https://dist.apache.org/repos/dist/release/kafka/1.0.0/RELEASE_NOTES.html
> You can download the source release from:
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.0.0/kafk
> a-1.0.0-src.tgz
> and binary releases from:
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.0.0/kafk
> a_2.11-1.0.0.tgz (Scala 2.11)
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.0.0/kafk
> a_2.12-1.0.0.tgz (Scala 2.12)
> ------------------------------------------------------------
> ---------------------------------------
> Apache Kafka is a distributed streaming platform with four 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 108 contributors to this release!
> Abhishek Mendhekar, Xi Hu, Andras Beni, Andrey Dyachkov, Andy Chambers,
> Apurva Mehta, Armin Braun, Attila Kreiner, Balint Molnar, Bart De Vylder,
> Ben Stopford, Bharat Viswanadham, Bill Bejeck, Boyang Chen, Bryan Baugher,
> Colin P. Mccabe, Koen De Groote, Dale Peakall, Damian Guy, Dana Powers,
> Dejan Stojadinović, Derrick Or, Dong Lin, Zhendong Liu, Dustin Cote,
> Edoardo Comar, Eno Thereska, Erik Kringen, Erkan Unal, Evgeny Veretennikov,
> Ewen Cheslack-Postava, Florian Hussonnois, Janek P, Gregor Uhlenheuer,
> Guozhang Wang, Gwen Shapira, Hamidreza Afzali, Hao Chen, Jiefang He, Holden
> Karau, Hooman Broujerdi, Hugo Louro, Ismael Juma, Jacek Laskowski, Jakub
> Scholz, James Cheng, James Chien, Jan Burkhardt, Jason Gustafson, Jeff
> Chao, Jeff Klukas, Jeff Widman, Jeremy Custenborder, Jeyhun Karimov,
> Jiangjie Qin, Joel Dice, Joel Hamill, Jorge Quilcate Otoya, Kamal C, Kelvin
> Rutt, Kevin Lu, Kevin Sweeney, Konstantine Karantasis, Perry Lee, Magnus
> Edenhill, Manikumar Reddy, Manikumar Reddy O, Manjula Kumar, Mariam John,
> Mario Molina, Matthias J. Sax, Max Zheng, Michael Andre Pearce, Michael
> André Pearce, Michael G. Noll, Michal Borowiecki, Mickael Maison, Nick
> Pillitteri, Oleg Prozorov, Onur Karaman, Paolo Patierno, Pranav Maniar,
> Qihuang Zheng, Radai Rosenblatt, Alex Radzish, Rajini Sivaram, Randall
> Hauch, Richard Yu, Robin Moffatt, Sean McCauliff, Sebastian Gavril, Siva
> Santhalingam, Soenke Liebau, Stephane Maarek, Stephane Roset, Ted Yu,
> Thibaud Chardonnens, Tom Bentley, Tommy Becker, Umesh Chaudhary, Vahid
> Hashemian, Vladimír Kleštinec, Xavier Léauté, Xianyang Liu, Xin Li, Linhua
> Xin
> We welcome your help and feedback. For more information on how to report
> problems, and to get involved, visit the project website at
> http://kafka.apache.org/
> Thanks,
> Guozhang Wang
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