Repository: kafka
Updated Branches:
  refs/heads/trunk 3c9e30a2f -> 517870271


MINOR: Adding Trivago logo to Streams landing page

guozhangwang Please review

Author: Manjula K <manj...@kafka-summit.org>

Reviewers: Guozhang Wang <wangg...@gmail.com>

Closes #4164 from manjuapu/ny-trivago-logos


Project: http://git-wip-us.apache.org/repos/asf/kafka/repo
Commit: http://git-wip-us.apache.org/repos/asf/kafka/commit/51787027
Tree: http://git-wip-us.apache.org/repos/asf/kafka/tree/51787027
Diff: http://git-wip-us.apache.org/repos/asf/kafka/diff/51787027

Branch: refs/heads/trunk
Commit: 51787027159f6f206df928a5c8bd2a18bacd3d5c
Parents: 3c9e30a
Author: Manjula K <manj...@kafka-summit.org>
Authored: Tue Oct 31 13:22:56 2017 -0700
Committer: Guozhang Wang <wangg...@gmail.com>
Committed: Tue Oct 31 13:22:56 2017 -0700

----------------------------------------------------------------------
 docs/streams/index.html | 53 +++++++++++++++++++++++++++++++-------------
 1 file changed, 37 insertions(+), 16 deletions(-)
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http://git-wip-us.apache.org/repos/asf/kafka/blob/51787027/docs/streams/index.html
----------------------------------------------------------------------
diff --git a/docs/streams/index.html b/docs/streams/index.html
index 5c5b7b8..c3a2762 100644
--- a/docs/streams/index.html
+++ b/docs/streams/index.html
@@ -20,7 +20,7 @@
        <div class="sub-nav-sticky">
           <div class="sticky-top">
              <div style="height:35px">
-                <a  class="active-menu-item" href="#">Introduction</a>
+                <a  class="active-menu-item" 
href="/{{version}}/documentation/streams/">Introduction</a>
                 <a 
href="/{{version}}/documentation/streams/developer-guide">Developer Guide</a>
                 <a 
href="/{{version}}/documentation/streams/core-concepts">Concepts</a>
                 <a href="/{{version}}/documentation/streams/quickstart">Run 
Demo App</a>
@@ -82,41 +82,62 @@
          <div class="customers__grid">
            <div class="customer__grid">
              <div class="customer__item streams_logo_grid streams__ny__grid">
-               <a href="https://www.nytimes.com"; target="_blank" 
class="grid__logo__link">
+               <a 
href="https://open.nytimes.com/publishing-with-apache-kafka-at-the-new-york-times-7f0e3b7d2077";
 target="_blank" class="grid__logo__link">
                  <span class="grid__item__logo" style="background-image: 
url('/images/powered-by/NYT.jpg');"></span>
                </a>
-               <p class="grid__item__customer__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.
+               <p class="grid__item__customer__description extra__space">
+                 <a 
href="https://open.nytimes.com/publishing-with-apache-kafka-at-the-new-york-times-7f0e3b7d2077";
 target="_blank">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.
                </p>
              </div>
            </div>
            <div class="customer__grid">
+             <div class="customer__item  streams_logo_grid 
streams__zalando__grid">
+               <a 
href="https://www.confluent.io/blog/ranking-websites-real-time-apache-kafkas-streams-api/";
 target="_blank" class="grid__logo__link">
+                 <span class="grid__item__logo" style="background-image: 
url('/images/powered-by/zalando.jpg');"></span>
+               </a>
+               <p class="grid__item__customer__description extra__space">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://www.confluent.io/blog/ranking-websites-real-time-apache-kafkas-streams-api/";
 target='blank'> event streams</a> enables our technical team to do near-real 
time business intelligence.
+               </p>
+           </div>
+           </div>  
+           <div class="customer__grid">
              <div class="customer__item  streams_logo_grid 
streams__line__grid">
-               <a href="https://linecorp.com/"; target="_blank" 
class="grid__logo__link">
+               <a href="https://engineering.linecorp.com/en/blog/detail/80"; 
target="_blank" class="grid__logo__link">
                  <span class="grid__item__logo" style="background-image: 
url('/images/powered-by/line.svg');width:9rem"></span>
                </a>
-               <p class="grid__item__customer__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.</p>
+                 <p class="grid__item__customer__description extra__space"><a 
href="https://engineering.linecorp.com/en/blog/detail/80"; target="_blank">LINE 
uses Apache Kafka</a> 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.</p>
              </div>
            </div>
            <div class="customer__grid">
-             <div class="customer__item  streams_logo_grid 
streams__zalando__grid">
-               <a href="http://www.zalando.com"; target="_blank" 
class="grid__logo__link">
-                 <span class="grid__item__logo" style="background-image: 
url('/images/powered-by/zalando.jpg');"></span>
+             <div class="customer__item streams_logo_grid streams__ny__grid">
+               <a 
href="https://medium.com/@Pinterest_Engineering/using-kafka-streams-api-for-predictive-budgeting-9f58d206c996";
 target="_blank" class="grid__logo__link">
+                 <span class="grid__item__logo" style="background-image: 
url('/images/powered-by/pinterest.png');"></span>
                </a>
-               <p class="grid__item__customer__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> enables our technical team to do near-real 
time business intelligence.
+               <p class="grid__item__customer__description">
+                   <a 
href="https://medium.com/@Pinterest_Engineering/using-kafka-streams-api-for-predictive-budgeting-9f58d206c996";
 target="_blank">Pinterest uses Apache Kafka and the Kafka Streams API</a> at 
large scale to power the real-time, predictive budgeting system of their 
advertising infrastructure. With Kafka Streams, spend predictions are more 
accurate than ever.
                </p>
              </div>
-           </div>
+           </div> 
            <div class="customer__grid">
              <div class="customer__item  streams_logo_grid 
streams__rabobank__grid">
-               <a href="https://www.rabobank.com"; target="_blank" 
class="grid__logo__link">
+               <a 
href="https://www.confluent.io/blog/real-time-financial-alerts-rabobank-apache-kafkas-streams-api/";
 target="_blank" class="grid__logo__link">
                  <span class="grid__item__logo" style="background-image: 
url('/images/powered-by/rabobank.jpg');"></span>
                </a>
-               <p class="grid__item__customer__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 of which is Rabo Alerts. This 
service alerts customers in real-time upon financial events and is built using 
Kafka Streams.</p>
+                 <p class="grid__item__customer__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 of which is Rabo Alerts. This 
service alerts customers in real-time upon financial events and is <a 
href="https://www.confluent.io/blog/real-time-financial-alerts-rabobank-apache-kafkas-streams-api/";
 target="_blank">built using Kafka Streams.</a></p>
              </div>
-           </div>
-         </div>
+           </div>        
+           <div class="customer__grid">
+             <div class="customer__item streams_logo_grid streams__ny__grid">
+               <a 
href="https://speakerdeck.com/xenji/kafka-and-debezium-at-trivago-code-dot-talks-2017-edition";
 target="_blank" class="grid__logo__link">
+                 <span class="grid__item__logo" style="background-image: 
url('/images/powered-by/trivago.png');"></span>
+               </a>
+               <p class="grid__item__customer__description">
+                   Trivago is a global hotel search platform. We are focused 
on reshaping the way travelers search for and compare hotels, while enabling 
hotel advertisers to grow their businesses by providing access to a broad 
audience of travelers via our websites and apps. As of 2017, we offer access to 
approximately 1.8 million hotels and other accommodations in over 190 
countries. We use Kafka, Kafka Connect, and Kafka Streams to <a 
href="https://speakerdeck.com/xenji/kafka-and-debezium-at-trivago-code-dot-talks-2017-edition";
 target="_blank">enable our developers</a> to access data freely in the 
company. Kafka Streams powers parts of our analytics pipeline and delivers 
endless options to explore and operate on the data sources we have at hand.
+               </p>
+             </div>
+           </div>  
+         
+       </div>
        <h3 style="margin-top: 5.3rem;">Hello Kafka Streams</h3>
        <p>The code example below implements a WordCount application that is 
elastic, highly scalable, fault-tolerant, stateful, and ready to run in 
production at large scale</p>
        

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