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From Sally Khudairi ...@apache.org>
Subject The Apache Software Foundation Announces Apache® Kafka® v1.0.0
Date Wed, 01 Nov 2017 10:00:56 GMT
[this announcement is available online at https://s.apache.org/8jww ]

Popular Open Source enterprise-grade scalable streaming platform in use
at Capital One, Goldman Sachs, ING, LinkedIn, Netflix, Pinterest,
Rabobank, Target, The New York Times, Uber, Yelp, and Zalando, among

Forest Hill, MD —1 November 2017— The Apache Software Foundation (ASF),
the all-volunteer developers, stewards, and incubators of more than 350
Open Source projects and initiatives, announced today the availability
of Apache® Kafka® v1.0.0, the latest version of the Open Source
distributed streaming platform.

Apache Kafka is capable of handling trillions of events per day, and
provides a unified platform for handling real-time data feeds and
scalable distributed applications. A single Kafka broker can handle
hundreds of megabytes of reads and writes per second from thousands of

"Apache Kafka is playing a bigger role as companies are moving to
real-time streaming and embracing stream processing," said Jun Rao, Vice
President of Apache Kafka. "The 1.0.0 release is an important milestone
for the Apache Kafka community as we're committed to making it ready for
enterprise adoption."

Initially conceived as a messaging queue, Kafka is based on an
abstraction of a distributed commit log. Kafka provides low-latency,
high-throughput, fault-tolerant publish and subscribe pipelines and is
able to process streams of events. Kafka provides reliable, millisecond
responses to support both customer-facing applications and connecting
downstream systems with real-time data. Kafka is unique in that it can
publish and subscribe to streams of data like a messaging system,
process streams of data efficiently and in real time and store streams
of data safely in a distributed, replicated cluster.

The Apache Kafka 1.0.0 release includes performance improvements with
exactly-once semantics, significantly faster TLS and CRC32C
implementations with Java 9 support, significantly faster controlled
shutdown, and better JBOD support, among other general improvements and
bug fixes. This release represents a significant milestone as companies
run Kafka at enterprise scale with the ability to:

 - Publish and subscribe to streams of data at massive scale
 - Process streams of data with state of the art real-time stream
 processing capabilities and exactly-once semantics
 - Store streams of data durably for the long term

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.

"We enjoy Kafka's great features and vibrant community. Kafka enabled us
to process trillions of messages per day in a scalable way. This opened
up a completely new frontier for us to efficiently process data in
motion to help us better serve Netflix members around the world," said
Allen Wang, Senior Software Engineer at Netflix.

"Yelp uses Apache Kafka to power everything from application logs to
analytics, enabling us to more easily and efficiently connect people
with great local businesses," said Justin Cunningham, Software Engineer
at Yelp. "The 1.0 release is a major milestone, and we're thrilled that
Apache Kafka has continuously added innovative new features, while
enhancing the reliability and scalability that Yelp depends on as our
mobile traffic grows."

"Apache Kafka is Uber's data platform that reliably delivers trillions
of messages per day, and empowers the real-time business intelligence to
serve all the users around the world," said Lei Lin, Engineer Manager at
Uber. "It's very exciting to see the new milestone of Apache Kafka 1.0
release and we are looking forward to this release."

"We invite everyone to download Apache Kafka 1.0.0 and try it out,"
added Rao. "We welcome community participation and look forward to
engaging with users and hearing feedback at upcoming conferences and
meetups as well as through the mailing list and pull requests."

Catch Apache Kafka in action at Kafka Summit 2018 in London and San
Francisco https://kafka-summit.org/ , and at numerous local meetups
https://kafka.apache.org/events .

Availability and Oversight
Apache Kafka software is released under the Apache License v2.0 and is
overseen by a self-selected team of active contributors to the project.
A Project Management Committee (PMC) guides the Project's day-to-day
operations, including community development and product releases. For
downloads, documentation, and ways to become involved with Apache Kafka,
visit https://kafka.apache.org/ and https://twitter.com/apachekafka .

About The Apache Software Foundation (ASF)
Established in 1999, the all-volunteer Foundation oversees more than 350
leading Open Source projects, including Apache HTTP Server -- the
world's most popular Web server software. Through the ASF's meritocratic
process known as "The Apache Way," more than 680 individual Members and
6,300 Committers successfully collaborate to develop freely available
enterprise-grade software, benefiting millions of users worldwide:
thousands of software solutions are distributed under the Apache
License; and the community actively participates in ASF mailing lists,
mentoring initiatives, and ApacheCon, the Foundation's official user
conference, trainings, and expo. The ASF is a US 501(c)(3) charitable
organization, funded by individual donations and corporate sponsors
including Alibaba Cloud Computing, ARM, Bloomberg, Budget Direct,
Capital One, Cash Store, Cerner, Cloudera, Comcast, Confluent, Facebook,
Google, Hortonworks, HP, Huawei, IBM, InMotion Hosting, iSigma,
LeaseWeb, Microsoft, ODPi, PhoenixNAP, Pivotal, Private Internet Access,
Produban, Red Hat, Serenata Flowers, Target, WANdisco, and Yahoo. For
more information, visit http://www.apache.org/ and

© The Apache Software Foundation. "Apache", "Kafka", "Apache Kafka", and
"ApacheCon" are registered trademarks or trademarks of the Apache
Software Foundation in the United States and/or other countries. All
other brands and trademarks are the property of their respective owners.

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