Github user manjuapu commented on a diff in the pull request:
https://github.com/apache/kafka-site/pull/104#discussion_r147262007
--- Diff: powered-by.html ---
@@ -2,453 +2,452 @@
<script>
// powered by items
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- {
- "link": "https://www.nytimes.com",
- "logo": "NYT.jpg",
- "logoBgColor": "#FFFFFF",
- "description": "<a
href='https://www.confluent.io/blog/publishing-apache-kafka-new-york-times/'>The
New York Times uses Apache Kafka </a>and the Kafka Streams API to store and
distribute, in real-time, published content to the various applications and
systems that make it available to the readers."
- }, {
- "link": "http://pinterest.com",
- "logo": "pinterest.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka is used with <a
href='https://engineering.pinterest.com/blog/introducing-pinterest-secor'
target='_blank'>Secor</a> as part of their <a href='https://www.pinterest.com/'
target='_blank'>log collection pipeline</a>."
- }, {
- "link": "http://www.zalando.com",
- "logo": "zalando.jpg",
- "logoBgColor": "#ffffff",
- "description": "As the leading online fashion retailer in
Europe, Zalando uses Kafka as an ESB (Enterprise Service Bus), which helps us
in transitioning from a monolithic to a micro services architecture. Using
Kafka for processing <a href
'https://kafka-summit.org/sessions/using-kstreams-ktables-calculate-real-time-domain-rankings/'
target=blank'> event streams</a>Â enables our technical team to do near-real
time business intelligence."
- }, {
- "link": "http://linkedin.com",
- "logo": "linkedin.jpg",
- "logoBgColor": "#007bb6",
- "description": "Apache Kafka is used at LinkedIn for activity
stream data and operational metrics. This powers various products like LinkedIn
Newsfeed, LinkedIn Today in addition to our offline analytics systems like
Hadoop."
- }, {
- "link": "http://addthis.com/",
- "logo": "addthis.png",
- "logoBgColor": "#ffffff",
- "description": "Apache Kafka is used at AddThis to collect
events generated by our data network and broker that data to our analytics
clusters and real-time web analytics platform."
- }, {
- "link": "http://www.airbnb.com/",
- "logo": "airbnb.png",
- "logoBgColor": "#ffffff",
- "description": "Used in our event pipeline, exception tracking
& more to come."
- }, {
- "link": "http://www.ancestry.com/",
- "logo": "ancestry.svg",
- "logoBgColor": "#ffffff",
- "description": "Kafka is used as the <a
href='http://blogs.ancestry.com/techroots/on-track-to-data-driven'
target='_blank'event log processing pipeline </a>for delivering better
personalized product and service to our customers."
- }, {
- "link": "https://boundary.com/",
- "logo": "boundary.gif",
- "logoBgColor": "#ffffff",
- "description": "Apache Kafka aggregates high-flow message
streams into a unified distributed pubsub service, brokering the data for other
internal systems as part of Boundary's real-time network analytics
infrastructure."
- }, {
- "link": "http://www.cerner.com/",
- "logo": "cerner.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka is used with HBase and Storm as
described <a
href='http://blog.cloudera.com/blog/2014/11/how-cerner-uses-cdh-with-apache-kafka/'
target='_blank'here.</a>"
- }, {
- "link": "https://www.coursera.org/",
- "logo": "coursera.png",
- "logoBgColor": "#ffffff",
- "description": "At Coursera, Kafka powers education at scale,
serving as the data pipeline for realtime learning analytics/dashboards."
- }, {
- "link": "https://www.cloudflare.com/",
- "logo": "cloudfare.png",
- "logoBgColor": "#ffffff",
- "description": "CloudFlare uses Kafka for our log processing
and analytics pipeline, collecting hundreds of billions of events/day data from
a thousands of servers."
- }, {
- "link": "http://www.cloudphysics.com/",
- "logo": "cloudphysics.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka is powering our high-flow event pipeline
that aggregates over 1.2 billion metric series from 1000+ data centers for
near-to-real time data center operational analytics and modeling"
- }, {
- "link": "http://datasift.com/",
- "logo": "datasift.png",
- "logoBgColor": "#ffffff",
- "description": "Apache Kafka is used at DataSift as a
collector of monitoring events and to track user's consumption of data streams
in real time. <a
href='http://highscalability.com/blog/2011/11/29/datasift-architecture-realtime-datamining-at-120000-tweets-p.html'
target='_blank'>DataSift architecture</a>"
- }, {
- "link": "http://datadog.com/",
- "logo": "datadog.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka brokers data to most systems in our
metrics and events ingestion pipeline. Different modules contribute and consume
data from it, for streaming CEP (homegrown), persistence (at different
"atemperatures"a in Redis, ElasticSearch, Cassandra, S3), or batch
analysis (Hadoop)."
- }, {
- "link": "https://www.box.com/",
- "logo": "box.png",
- "logoBgColor": "#ffffff",
- "description": "At Box, Kafka is used for the production
analytics pipeline & real time monitoring infrastructure. We are planning to
use Kafka for some of the new products & features"
- }, {
- "link": "http://www.cisco.com/",
- "logo": "cisco.png",
- "logoBgColor": "#ffffff",
- "description": "Cisco is using Kafka as part of their OpenSOC
(Security Operations Center). More details <a href='http://opensoc.github.io/'
target='_blank'here.</a>"
- }, {
- "link": "http://www.cityzendata.com/",
- "logo": "cityzen.png",
- "logoBgColor": "#ffffff",
- "description": "Cityzen Data uses Kafka as well, we provide a
platform for collecting, storing and analyzing machine data."
- }, {
- "link": "http://www.criteo.com/",
- "logo": "criteo.jpeg",
- "logoBgColor": "#ffffff",
- "description": "Criteo uses Kafka as well, we provide a
platform for collecting, storing and analyzing machine data."
- }, {
- "link": "https://www.etsy.com/",
- "logo": "etsy.png",
- "logoBgColor": "#ffffff",
- "description": "See <a
href='http://siliconangle.com/blog/2015/08/11/etsy-going-all-in-with-kafka-as-dataflow-pipeline-hpbigdata15/'
target='_blank'>this article</a>."
- }, {
- "link": "http://www.exponential.com/",
- "logo": "exponential.png",
- "logoBgColor": "#ffffff",
- "description": "Exponential is using Kafka in production to
power the events ingestion pipeline for real time analytics and log feed
consumption."
- }, {
- "link": "https://www.exoscale.ch/",
- "logo": "exoscale.png",
- "logoBgColor": "#ffffff",
- "description": "Exoscale uses Kafka in production."
- }, {
- "link": "http://www.liveperson.com/",
- "logo": "liveperson.png",
- "logoBgColor": "#ffffff",
- "description": "Using Kafka as the main data bus for all real
time events."
- }, {
- "link": "http://www.outbrain.com/",
- "logo": "outbrain.png",
- "logoBgColor": "#ffffff",
- "description": "We use Kafka in production for real time log
collection and processing, and for cross-DC cache propagation."
- }, {
- "link": "http://www.retentionscience.com/",
- "logo": "retentionscience.jpg",
- "logoBgColor": "#ffffff",
- "description": "Click stream ingestion and processing."
- }, {
- "link": "http://www.strava.com/",
- "logo": "strava.jpg",
- "logoBgColor": "#ffffff",
- "description": "Powers our analytics pipeline, activity feeds
denorm and several other production services."
- }, {
- "link": "http://www.swiftkey.net/",
- "logo": "swiftkey.png",
- "logoBgColor": "#ffffff",
- "description": "We use Apache Kafka for analytics event
processing."
- }, {
- "link": "https://eng.uber.com/",
- "logo": "uber.png",
- "logoBgColor": "#ffffff",
- "description": "Apache Kafka is a core part of Uberâs
overall infrastructure stack and powers various online & near realtime
use-cases."
- }, {
- "link": "http://emergingthreats.net/",
- "logo": "emergingthreats.png",
- "logoBgColor": "#ffffff",
- "description": "Emerging threats uses Kafka in our event
pipeline to process billions of malware events for search indices, alerting
systems, etc."
- }, {
- "link": "http://foursquare.com/",
- "logo": "foursquare.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka powers online to online messaging, and
online to offline messaging at Foursquare. We integrate with monitoring,
production systems, and our offline infrastructure, including hadoop."
- }, {
- "link": "http://www.goldmansachs.com/",
- "logo": "goldmansachs.jpg",
- "logoBgColor": "#64a8f1",
- "description": "<a href='http://www.goldmansachs.com/'
target='_blank'>www.goldmansachs.com</a>"
- }, {
- "link": "http://www.mate1.com/about",
- "logo": "mate1.png",
- "logoBgColor": "#000000",
- "description": "Apache kafka is used at Mate1 as our main
event bus that powers our news and activity feeds, automated review systems,
and will soon power real time notifications and log distribution."
- }, {
- "link": "http://mozilla.org/",
- "logo": "mozilla.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka will soon be replacing part of our
current production system to collect performance and usage data from the
end-users browser for projects like Telemetry, Test Pilot, etc. Downstream
consumers usually persist to either HDFS or HBase."
- }, {
- "link": "http://netflix.com",
- "logo": "netflix.png",
- "logoBgColor": "#FFFFFF",
- "description": "Real-time monitoring and event-processing <a
href='http://techblog.netflix.com/2016/04/kafka-inside-keystone-pipeline.html'
target='_blank'>pipeline</a>."
- }, {
- "link": "http://www.oracle.com/",
- "logo": "oracle.png",
- "logoBgColor": "#ffffff",
- "description": "Oracle provides native connectivity to Kafka
from its Enterprise Service Bus product called OSB (Oracle Service Bus) which
allows developers to leverage OSB built-in mediation capabilities to implement
staged data pipelines."
- }, {
- "link": "http://square.com",
- "logo": "square.png",
- "logoBgColor": "#FFFFFF",
- "description": "We use Kafka as a bus to move all systems
events through our various datacenters. This includes metrics, logs, custom
events etc. On the consumer side, we output into Splunk, Graphite, Esper-like
real-time alerting."
- }, {
- "link": "http://spotify.com",
- "logo": "spotify.png",
- "logoBgColor": "#1ed760",
- "description": "Kafka is used at Spotify as part of their log
<a href='http://www.meetup.com/stockholm-hug/events/121628932'
target='_blank'>delivery system</a>."
- }, {
- "link": "http://www.stumbleupon.com/",
- "logo": "stumbleupon.png",
- "logoBgColor": "#eb4924",
- "description": "Data collection platform for analytics."
- }, {
- "link": "http://www.tagged.com/",
- "logo": "tagged.png",
- "logoBgColor": "#ffffff",
- "description": "Apache Kafka drives our new pub sub system
which delivers real-time events for users in our latest game - Deckadence. It
will soon be used in a host of new use cases including group chat and back end
stats and log collection."
- }, {
- "link": "https://www.tumblr.com/",
- "logo": "tumblr.png",
- "logoBgColor": "#5eba8c",
- "description": "See <a
href='http://highscalability.com/blog/2012/2/13/tumblr-architecture-15-billion-page-views-a-month-and-harder.html'
target='_blank'>this</a>."
- }, {
- "link": "http://twitter.com",
- "logo": "twitter.jpg",
- "logoBgColor": "#28a9e2",
- "description": "As part of their Storm stream processing
infrastructure, e.g. <a
href='http://engineering.twitter.com/2013/01/improving-twitter-search-with-real-time.html'
target='_blank'>this</a> and <a
href='https://blog.twitter.com/2015/handling-five-billion-sessions-a-day-in-real-time'
target='_blank'>this</a>."
- }, {
- "link": "http://www.paypal.com/",
- "logo": "paypal.png",
- "logoBgColor": "#ffffff",
- "description": "See <a
href='https://github.com/paypal/couchbasekafka' target='_blank'>this</a>."
- }, {
- "link": "http://www.shopify.com/",
- "logo": "shopify.png",
- "logoBgColor": "#ffffff",
- "description": "Access logs, A/B testing events, domain events
("a checkout happened", etc.), metrics, delivery to HDFS, and
customer reporting. We are now focusing on consumers: analytics, support tools,
and fraud analysis."
- }, {
- "link":
"http://www.oracle.com/technetwork/middleware/goldengate/overview/index.html",
- "logo": "oraclegoldengate.png",
- "logoBgColor": "#ffffff",
- "description": "GoldenGate offers a comprehensive solution
that streams transactional data from various sources into various big data
targets including Kafka in real-time, enabling organizations to build fault
-tolerant, highly reliable, and extensible analytical applications."
- }, {
- "link": "http://www.socialtwist.com/",
- "logo": "socialtwist.jpg",
- "logoBgColor": "#ffffff",
- "description": "We use Kafka internally as part of our
reliable email queueing system."
- }, {
- "link": "http://www.spongecell.com/",
- "logo": "spongecell.png",
- "logoBgColor": "#ffffff",
- "description": "We use Kafka to run our entire analytics and
monitoring pipeline driving both real-time and ETL applications for our
customers."
- }, {
- "link": "https://www.simple.com/",
- "logo": "simple.gif",
- "logoBgColor": "#ffffff",
- "description": "We use Kafka at Simple for log aggregation and
to power our analytics infrastructure."
- }, {
- "link": "http://www.urbanairship.com/",
- "logo": "urbanairship.png",
- "logoBgColor": "#ffffff",
- "description": "At Urban Airship we use Kafka to buffer
incoming data points from mobile devices for processing by our analytics
infrastructure."
- }, {
- "link": "http://wooga.com/",
- "logo": "wooga.png",
- "logoBgColor": "#ffffff",
- "description": "We use Kafka to aggregate and process tracking
data from all our facebook games (which are hosted at various providers) in a
central location."
- }, {
- "link": "http://metamarkets.com/",
- "logo": "metamarkets.png",
- "logoBgColor": "#ffffff",
- "description": "We use Kafka to ingest real-time event data,
stream it to Storm and Hadoop, and then serve it from our Druid cluster to feed
our interactive analytics dashboards. We've also built connectors for directly
ingesting events from Kafka into Druid."
- }, {
- "link": "http://gnip.com/",
- "logo": "gnip.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka is used in their twitter ingestion and
processing pipeline."
- }, {
- "link": "http://www.flyhajj.com/",
- "logo": "flyhajj.png",
- "logoBgColor": "#ffffff",
- "description": "We use Kafka to collect all metrics and events
generated by the users of the website."
- }, {
- "link": "http://loggly.com/",
- "logo": "loggly.png",
- "logoBgColor": "#ffffff",
- "description": "Loggly is the world's most popular cloud-based
log management. Our cloud-based log management service helps DevOps and
technical teams make sense of the the massive quantity of logs. Kafka is used
as part of our <a href='http://www.loggly.com/behind-the-screens'
target='_blank'log collection and processing infrastructure.</a>"
- }, {
- "link": "http://www.richrelevance.com/",
- "logo": "richrelevance.png",
- "logoBgColor": "#ffffff",
- "description": "Real-time tracking event pipeline."
- }, {
- "link": "http://www.uswitch.com/",
- "logo": "uswitch.png",
- "logoBgColor": "#ffffff",
- "description": "See <a
href='http://oobaloo.co.uk/kafka-for-uswitchs-event-pipeline'
target='_blank'>this blog</a>."
- }, {
- "link": "http://www.infochimps.com/",
- "logo": "infochimps.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka is part of the <a
href='http://blog.infochimps.com/2012/10/30/next-gen-real-time-streaming-storm-kafka-integration'
target='_blank'>InfoChimps real-time data platform</a>."
- }, {
- "link": "http://www.ooyala.com/",
- "logo": "ooyala.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka is used as the primary high speed
message queue to power Storm and our real-time analytics/event ingestion
pipelines."
- }, {
- "link": "http://sematext.com/",
- "logo": "sematext.png",
- "logoBgColor": "#ffffff",
- "description": "In <a href='http://sematext.com/spm'
target='_blank'SPM</a> (performance monitoring + alerting), Kafka is used for
metrics collection and feeds SPM's in-memory data aggregation (OLAP cube
creation) as well as our CEP/Alerts servers (see also: <a
href='http://blog.sematext.com/2013/10/16/announcement-spm-performance-monitoring-for-kafka/'
target=_blank'>SPM for Kafka performance monitoring</a>). In <a
href='http://sematext.com/search-analytics' target='_blank'>SA (search
analytics)</a> Kafka is used in search and click stream collection before being
aggregated and persisted. In <a href='http://sematext.com/logsene'
target='_blank'Logsene (log analytics)</a> Kafka is used to pass logs and other
events from front-end receivers to the persistent backend."
- }, {
- "link": "http://quixey.com/",
- "logo": "quixey.png",
- "logoBgColor": "#ffffff",
- "description": "At Quixey, The Search Engine for Apps, Kafka
is an integral part of our eventing, logging and messaging infrastructure."
- }, {
- "link": "http://www.linksmart.com/",
- "logo": "linksmart.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka is used at LinkSmart as an event stream
feeding Hadoop and custom real time systems."
- }, {
- "link":
"http://www.lucidworks.com/products/lucidworks-big-data",
- "logo": "lucidworks.png",
- "logoBgColor": "#ffffff",
- "description": "We use Kafka for syncing LucidWorks Search
(Solr) with incoming data from Hadoop and also for sending LucidWorks Search
logs back to Hadoop for analysis."
- }, {
- "link": "http://graylog2.org/",
- "logo": "graylog2.jpg",
- "logoBgColor": "#ffffff",
- "description": "Graylog2 is a free and open source log
management and data analysis system. It's using Kafka as default transport for
Graylog2 Radio. The use case is described <a
href='http://support.torch.sh/help/kb/graylog2-server/using-graylog2-radio-v020x'
target='_blank'here</a>."
- }, {
- "link": "http://www.visualrevenue.com/",
- "logo": "visualrevenue.jpg",
- "logoBgColor": "#1c1a88",
- "description": "We use Kafka as a distributed queue in front
of our web traffic stream processing infrastructure (Storm)."
- }, {
- "link": "http://www.visualdna.com/",
- "logo": "visualdna.jpg",
- "logoBgColor": "#ffffff",
- "description": "We use Kafka 1. as an infrastructure that
helps us bring continuously the tracking events from various datacenters into
our central hadoop cluster for offline processing, 2. as a propagation path for
data integration, 3. as a real-time platform for future inference and
recommendation engines"
- }, {
- "link": "http://www.wizecommerce.com/",
- "logo": "wizecommerce.gif",
- "logoBgColor": "#ffffff",
- "description": "At Wize Commerce (previously, NexTag), Kafka
is used as a distributed queue in front of Storm based processing for search
index generation. We plan to also use it for collecting user generated data on
our web tier, landing the data into various data sinks like Hadoop, HBase, etc."
- }, {
- "link": "http://www.yieldbot.com/",
- "logo": "yieldbot.png",
- "logoBgColor": "#ffffff",
- "description": "Yieldbot uses kafka for real-time events,
camus for batch loading, and mirrormakers for x-region replication."
- }, {
- "link": "http://yellerapp.com/",
- "logo": "yeller.png",
- "logoBgColor": "#ffffff",
- "description": "Yeller uses Kafka to process large streams of
incoming exception data for it's customers. Rate limiting, throttling and
batching are all built on top of Kafka."
- }, {
- "link": "http://www.hotels.com/",
- "logo": "hotels.jpg",
- "logoBgColor": "#ffffff",
- "description": "Hotels.com uses Kafka as pipeline to collect
real time events from multiple sources and for sending data to HDFS."
- }, {
- "link": "http://helprace.com/help-desk",
- "logo": "helprace.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka is used as a distributed high speed
message queue in our help desk software as well as our real-time event data
aggregation and analytics."
- }, {
- "link": "http://web.livefyre.com/",
- "logo": "livefyre.png",
- "logoBgColor": "#ffffff",
- "description": "Livefyre uses Kafka for the real time
notifications, analytics pipeline and as the primary mechanism for general
pub/sub."
- }, {
- "link": "http://wikimediafoundation.org/wiki/Our_projects",
- "logo": "wikimedia.png",
- "logoBgColor": "#ffffff",
- "description": "Wikimedia Foundation uses Kafka as a log
transport for analytics data from production webservers and applications. This
data is consumed into Hadoop using Camus and to other processors of analytics
data."
- }, {
- "link": "http://www.ovh.com/us/index.xml",
- "logo": "ovh.png",
- "logoBgColor": "#ffffff",
- "description": "OVH uses Kafka in production for over a year
now using it for event bus, data pipeline for antiddos and more to come."
- }, {
- "link": "http://helpshift.com/",
- "logo": "helpshift.png",
- "logoBgColor": "#ffffff",
- "description": "Produces billions of events with Kafka through
an erlang based producer ekaf that supports 8.0, and consumes topics primarily
with storm and clojure."
- }, {
- "link": "http://www.parsely.com/",
- "logo": "parsely.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka is used for all <a
href='http://www.parsely.com/misc/slides/logs/#1' target=_blank'>data
integration </a> of analytics event data."
- }, {
- "link": "https://www.vividcortex.com/",
- "logo": "vividcortex.png",
- "logoBgColor": "#ffffff",
- "description": "VividCortex uses Kafka in our SaaS MySQL
performance management platform to reliably ingest high-volume 1-second
timeseries data."
- }, {
- "link": "http://www.trivago.com/",
- "logo": "trivago.png",
- "logoBgColor": "#ffffff",
- "description": "Trivago uses Kafka for stream processing in
Storm as well as processing of application logs."
- }, {
- "link": "http://www.ants.vn/",
- "logo": "ants.png",
- "logoBgColor": "#ffffff",
- "description": "Ants.vn use Kafka in production for stream
processing and log transfer (over 5B messages/month and growing)"
- }, {
- "link": "http://www.ifttt.com/",
- "logo": "ifttt.png",
- "logoBgColor": "#ffffff",
- "description": "We use Kafka to ingest real-time log and
tracking data for analytics, dashboards, and machine learning."
- }, {
- "link": "http://homeadvisor.com/",
- "logo": "homeadvisor.jpg",
- "logoBgColor": "#ffffff",
- "description": "We use Kafka for logging and async event
processing, among other uses."
- }, {
- "link": "http://www.skyscanner.net/",
- "logo": "skyscanner.png",
- "logoBgColor": "#ffffff",
- "description": "The world's travel search engine, uses Kafka
for real-time log and event ingestion. It is the integration point for of all
stream-processing and data transportation services."
- }, {
- "link": "https://developer.ibm.com/messaging/message-hub/",
- "logo": "ibmmessagehub.png",
- "logoBgColor": "#1e3648",
- "description": "The Message Hub service in our Bluemix PaaS
offers Kafka-based messaging in a multi-tenant, pay-as-you-go public cloud.
It's intended to provide messaging services for microservices, event-driven
processing and streaming data in to analytics systems."
- }, {
- "link": "http://www.ipinyou.com.cn/?defaultLocale=en",
- "logo": "ipinyou.png",
- "logoBgColor": "#ffffff",
- "description": "The largest DSP in China which has its HQ in
Beijing and offices in Shanghai, Guangzhou, Silicon Valley and Seattle. Kafka
clusters are the central data hub in iPinYou. All kinds of Internet display
advertising data, such as bid/no-bid, impression, click, advertiser, conversion
and etc., are collected as primary data streams into Kafka brokers in real
time, by LogAggregator (a substitute for Apache Flume, which is implemented in
C/C++ by iPinYou, has customized functionality, better performance, lower
resource-consuming)."
- }, {
- "link": "https://mailchimp.com/",
- "logo": "mailchimp.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka powers MailChimpâs data pipeline that
in turn powers <a href='https://mailchimp.com/pro/' target=blank'>MailChimp
Pro</a>, as well as an increasing number of other product features. You can
read some of the details <a
href='https://devs.mailchimp.com/blog/powering-mailchimp-pro-reporting/'
target=blank'>here</a>."
- }, {
- "link": "https://www.rabobank.com",
- "logo": "rabobank.jpg",
- "logoBgColor": "#ffffff",
- "description": "Rabobank is one of the 3 largest banks in the
Netherlands. Its digital nervous system, the Business Event Bus, is powered by
Apache Kafka. It is used by an increasing amount of financial processes and
services, one which is Rabo Alerts. This service alerts customers in real-time
upon financial events and is built using Kafka Streams."
- },{
- "link": "http://www.portoseguro.com.br/",
- "logo": "porto-seguro.png",
- "logoBgColor": "#ffffff",
- "description": "We use Kafka in production for online and near
real-time solutions. Kafka is a core part for many products, such as our Credit
Card System."
- },{
- "link": "https://empathy.micronauticsresearch.com/",
- "logo": "robotCircle.png",
- "logoBgColor": "#ffffff",
- "description": "<a href
'https://empathy.micronauticsresearch.com/' target=blank'> EmpathyWorks</a> is
a framework for simulating and analyzing networks of artificial personalities."
- },{
- "link": "https://www.cj.com/",
- "logo": "CJ_Affiliate.png",
- "logoBgColor": "#ffffff",
- "description": "Apache Kafka is used at CJ Affiliate to
process many of the key events driving our core product. Nearly every aspect of
CJ's products and services currently benefit from the speed and stability this
provides; additionally, Apache Kafka is one of the key technologies enabling
CJ's upcoming real-time Insights & Analytics platform."
- }, {
- "link": "http://xitenetworks.com/",
- "logo": "xite.png",
- "logoBgColor": "#ffffff",
- "description": "Kafka is at the heart of our Data
Infrastructure - Business Intelligence, Recommender Systems and Machine
Learning solutions are build as reactive and streaming architecture. Also we
use Kafka as a great alternative to REST APIs for micro-services integration.
This allows us to scale and reliably upgrade micro-services without integration
and consistency issues."
- },{
- "link": "http://yahoo.com",
- "logo": "yahoo.png",
- "logoBgColor": "#3d018b",
- "description": "See <a
href='http://yahooeng.tumblr.com/post/109994930921/kafka-yahoo'
target='_blank'>this</a>."
- }, {
- "link": "https://linecorp.com/",
- "logo": "line.png",
- "logoBgColor": "#00b900",
- "description": "LINE uses Apache Kafka as a central datahub
for our services to communicate to one another. Hundreds of billions of
messages are produced daily and are used to execute various business logic,
threat detection, search indexing and data analysis. LINE leverages Kafka
Streams to reliably transform and filter topics enabling sub topics consumers
can efficiently consume, meanwhile retaining easy maintainability thanks to its
sophisticated yet minimal code base."
- }
- ];
+ {
--- End diff --
@guozhangwang no content change.
---