kafka-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Rajini Sivaram <rajinisiva...@gmail.com>
Subject Re: [ANNOUNCE] Apache Kafka 1.0.0 Released
Date Thu, 02 Nov 2017 12:37:00 GMT
Guozhang,

Thank you for running the release!

Regards,

Rajini

On Thu, Nov 2, 2017 at 12:07 PM, UMESH CHAUDHARY <umesh9794@gmail.com>
wrote:

> Great news, Congratulations to the team !
>
> On Thu, 2 Nov 2017 at 17:17 Damian Guy <damian.guy@gmail.com> wrote:
>
> > Thanks Guozhang!
> >
> > On Thu, 2 Nov 2017 at 11:42 Ismael Juma <ismaelj@gmail.com> wrote:
> >
> > > Thanks for running the release, Guozhang! Also thanks to all the
> > > contributors who made 1.0 possible. :)
> > >
> > > Ismael
> > >
> > > On 1 Nov 2017 2:27 pm, "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/ <https://kafka.apache.org/documentation/streams/>
<
> > > https://kafka.apache.org/documentation/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.con
> > > nection
> > > 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/
> kafka-1.0.0-src.tgz
> > >
> > > and binary releases from:
> > >
> > >
> > >
> > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.0.0/
> kafka_2.11-1.0.0.tgz
> > > (Scala
> > > 2.11)
> > >
> > >
> > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.0.0/
> kafka_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
> > >
> >
>

Mime
  • Unnamed multipart/alternative (inline, None, 0 bytes)
View raw message