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From Aljoscha Krettek <aljos...@apache.org>
Subject Re: Release announcement draft
Date Tue, 26 Aug 2014 14:00:35 GMT
I like it. :D


On Tue, Aug 26, 2014 at 3:58 PM, Kostas Tzoumas <ktzoumas@apache.org> wrote:

> Oops, thank you, sorry for the typos.
>
>
> On Tue, Aug 26, 2014 at 3:57 PM, Robert Metzger <rmetzger@apache.org>
> wrote:
>
> > Well written, thank you!
> > I think you have a typo in Mingliangs name: "Mingliang Qi", Jonathan's
> last
> > name is "Hasenburg"
> >
> >
> > On Tue, Aug 26, 2014 at 3:42 PM, Kostas Tzoumas <ktzoumas@apache.org>
> > wrote:
> >
> > > Hey folks,
> > >
> > > The Flink 0.6 release is out, and it would be great to announce it at
> the
> > > Flink blog and perhaps at announcements@apache among other places. I
> > > drafted a small text that also explains a bit what is Flink since this
> is
> > > the first Apache release.
> > >
> > > Would be great to get some comments on the text! Also, if you
> contributed
> > > in the release and your name is missing, please respond.
> > >
> > > Best,
> > > Kostas
> > >
> > > We are happy to announce the availability of Flink 0.6. This is the
> > > first release of the system inside the Apache Incubator and under the
> > > name Flink. Releases up to 0.5 were under the name Stratosphere, from
> > > the academic and open source project that Flink originates from.
> > >
> > > What is Flink?
> > >
> > > Apache Flink is a new general-purpose computation engine that can run
> > > on YARN clusters on top of data stored in Hadoop. Flink currently has
> > > programming APIs in Java and Scala. Jobs are executed via Flink's own
> > > runtime engine. Flink features:
> > >
> > > - Robust in-memory and out-of-core processing: once read, data stays
> > >   in memory as much as possible, and is gracefully de-staged to disk in
> > >   the presence of memory pressure from limited memory or other
> > >   applications. The runtime is designed to perform very well both in
> > >   setups with abundant memory and in setups where memory is scarce.
> > >
> > > - Object-based APIs: when programming, you do not have to pack your
> > >   data into key-value pairs or some other framework-specific data
> > >   model. Rather, you can use arbitrary Java and Scala types to model
> > >   your data.
> > >
> > > - A modular system stack: Flink is not a direct implementation of its
> > >   APIs but a layered system. All programming APIs are translated to an
> > >   intermediate program representation that is compiled and optimized
> > >   via a cost-based optimizer. Lower-level layers of Flink also expose
> > >   programming APIs for extending the system.
> > >
> > > - Data pipelining/streaming: Flink's runtime is designed as a
> > >   pipelined data processing engine rather than a batch processing
> > >   engine. Operators do not wait for their predecessors to finish in
> > >   order to start processing data. This results to very efficient
> > >   handling of large intermediate data sets.
> > >
> > >
> > > Release 0.6
> > >
> > > Flink 0.6 builds on the latest Stratosphere 0.5 release. It includes
> > > many bug fixes and improvements that make the system more stable and
> > > robust, as well as breaking API changes.
> > > The full release notes are available here:
> > >
> > >
> >
> https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12315522&version=12327101
> > >
> > > To download the release please visit
> > > http://flink.incubator.apache.org/downloads.html
> > >
> > > Contributors
> > >
> > > Wilson Cao
> > > Ufuk Celebi
> > > Stephan Ewen
> > > Jonathan Hasenberg
> > > Markus Holzemer
> > > Fabian Hueske
> > > Sebastian Kunert
> > > Vikhyat Korrapati
> > > Aljoscha Krettek
> > > Sebastian Kruse
> > > Raymond Liu
> > > Robert Metzger
> > > Minglianh Qi
> > > Till Rohrmann
> > > Henry Saputra
> > > Chesnay Schepler
> > > Kostas Tzoumas
> > > Robert Waury
> > > Timo Walther
> > > Daniel Warneke
> > > Tobias Wiens
> > >
> >
>

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