kafka-users mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Jun Rao <...@confluent.io>
Subject [ANNOUNCEMENT] Apache Kafka 0.8.2.0 Released
Date Wed, 04 Feb 2015 01:37:01 GMT
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

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