Repository: kafka
Updated Branches:
  refs/heads/trunk 71a65d95a -> 1fd70c7c9


MINOR - Adding New York Times logo to streams page

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

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

Closes #3950 from manjuapu/customer-logo-stream


Project: http://git-wip-us.apache.org/repos/asf/kafka/repo
Commit: http://git-wip-us.apache.org/repos/asf/kafka/commit/1fd70c7c
Tree: http://git-wip-us.apache.org/repos/asf/kafka/tree/1fd70c7c
Diff: http://git-wip-us.apache.org/repos/asf/kafka/diff/1fd70c7c

Branch: refs/heads/trunk
Commit: 1fd70c7c94b20b82299ac1004e0ee01777b7beab
Parents: 71a65d9
Author: Manjula K <manj...@kafka-summit.org>
Authored: Sat Sep 23 10:53:10 2017 +0800
Committer: Guozhang Wang <wangg...@gmail.com>
Committed: Sat Sep 23 10:53:10 2017 +0800

----------------------------------------------------------------------
 docs/images/icons/NYT.jpg | Bin 0 -> 12605 bytes
 docs/streams/index.html   |  30 ++++++++++++++++--------------
 2 files changed, 16 insertions(+), 14 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/kafka/blob/1fd70c7c/docs/images/icons/NYT.jpg
----------------------------------------------------------------------
diff --git a/docs/images/icons/NYT.jpg b/docs/images/icons/NYT.jpg
new file mode 100644
index 0000000..f4a7e8f
Binary files /dev/null and b/docs/images/icons/NYT.jpg differ

http://git-wip-us.apache.org/repos/asf/kafka/blob/1fd70c7c/docs/streams/index.html
----------------------------------------------------------------------
diff --git a/docs/streams/index.html b/docs/streams/index.html
index bf39381..3704a3d 100644
--- a/docs/streams/index.html
+++ b/docs/streams/index.html
@@ -205,21 +205,29 @@
     <div class="customer__cards">
          <div class="customer__card">
              <div class="customer__card__icon">
+            <img src="/{{version}}/images/icons/NYT.jpg" style="max-width:35%">
+          </div>  
+          <span class="customer__card__label">The New York Times uses Apache 
Kafka 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.</span>
+            <a 
href="https://www.confluent.io/blog/publishing-apache-kafka-new-york-times/";>Learn
 More</a>
+             
+         </div>
+         <div class="customer__card customer-right" >
+            <div class="customer__card__icon">
                  <img src="/{{version}}/images/icons/rabobank.png">
              </div>  
              <span class="customer__card__label">Rabobank is one of the 3 
largest banks in the Netherlands. Its digital nervous system, the Business 
Event Bus, is powered by Apache Kafka and Kafka Streams.
              </span>
-             <a 
href="https://www.confluent.io/blog/real-time-financial-alerts-rabobank-apache-kafkas-streams-api/";>Learn
 More</a>
+             <a 
href="https://www.confluent.io/blog/real-time-financial-alerts-rabobank-apache-kafkas-streams-api/";>Learn
 More</a> 
          </div>
-         <div class="customer__card customer-right" >
-              <div class="customer__card__icon" >
+     </div>
+     <div class="customer_cards_2">
+        <div class="customer__card customer_z">
+           <div class="customer__card__icon" >
                  <img src="/{{version}}/images/icons/zalando.png">
               </div>  
-              <span class="customer__card__label">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 event streams enables our technical 
team to do near-real time business intelligence.</span>
+              <span class="customer__card__label">As the leading online 
fashion retailer in Europe, Zalando uses Apache Kafka as an ESB (Enterprise 
Service Bus), which helps us in transitioning from a monolithic to a micro 
services architecture. Using Kafka for processing event streams enables our 
technical team to do near-real time business intelligence.</span>
               <a 
href="https://kafka-summit.org/sessions/using-kstreams-ktables-calculate-real-time-domain-rankings/";>Learn
 More</a>
-         </div>
-     </div>
-     <div class="customer_cards_2">
+        </div>
         <div class="customer__card">
           <div class="customer__card__icon green_card">
             <img src="/{{version}}/images/icons/line.png">
@@ -227,13 +235,7 @@
           <span class="customer__card__label">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.</span>
           <a href="https://engineering.linecorp.com/en/blog/detail/80";>Learn 
More</a>
         </div>
-        <div class="customer__card" style="visibility:hidden">
-          <div class="customer__card__icon">
-            <img src="">
-          </div>  
-          <span class="customer__card__label"></span>
-            <a>Learn More</a>
-        </div>
+        
     </div> 
     <div class="pagination">
         <a href="#" class="pagination__btn pagination__btn__prev 
pagination__btn--disabled">Previous</a>

Reply via email to