Congratz team it's a big accomplishment

> On Feb 5, 2015, at 14:22, Otis Gospodnetic <otis.gospodne...@gmail.com> wrote:
> 
> Big thanks to Jun and everyone else involved!  We're on 0.8.2 as of today.
> :)
> 
> Otis
> --
> Monitoring * Alerting * Anomaly Detection * Centralized Log Management
> Solr & Elasticsearch Support * http://sematext.com/
> 
> 
>> On Tue, Feb 3, 2015 at 8:37 PM, Jun Rao <j...@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
>> 

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