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From Rajasekar Elango <rela...@salesforce.com>
Subject Re: [ANNOUNCEMENT] Apache Kafka 0.8.2.0 Released
Date Wed, 04 Feb 2015 17:17:12 GMT
YaY!. Thanks to Jun and everybody who contributed to this release. We have
been waiting for this release for a while.

Thanks,
Rajasekar Elango (Salesforce.com).

On Tue, Feb 3, 2015 at 8:37 PM, Jun Rao <jun@confluent.io> wrote:

> The Apache Kafka community is pleased to announce the release for Apache
> Kafka 0.8.2.0.
>
> The 0.8.2.0 release introduces many new features, improvements and fixes
> including:
>  - A new Java producer for ease of implementation and enhanced performance.
>  - A Kafka-based offset storage.
>  - Delete topic support.
>  - Per topic configuration of preference for consistency over availability.
>  - Scala 2.11 support and dropping support for Scala 2.8.
>  - LZ4 Compression.
>
> All of the changes in this release can be found:
> https://archive.apache.org/dist/kafka/0.8.2.0/RELEASE_NOTES.html
>
> Apache Kafka is high-throughput, publish-subscribe messaging system
> rethought of as a distributed commit log.
>
> ** Fast => A single Kafka broker can handle hundreds of megabytes of reads
> and
> writes per second from thousands of clients.
>
> ** Scalable => Kafka is designed to allow a single cluster to serve as the
> central data backbone
> for a large organization. It can be elastically and transparently expanded
> without downtime.
> Data streams are partitioned and spread over a cluster of machines to allow
> data streams
> larger than the capability of any single machine and to allow clusters of
> co-ordinated consumers.
>
> ** Durable => Messages are persisted on disk and replicated within the
> cluster to prevent
> data loss. Each broker can handle terabytes of messages without performance
> impact.
>
> ** Distributed by Design => Kafka has a modern cluster-centric design that
> offers
> strong durability and fault-tolerance guarantees.
>
> You can download the release from: http://kafka.apache.org/downloads.html
>
> 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,
>
> Jun
>



-- 
Thanks,
Raja.

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