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Posted to commits@kafka.apache.org by gu...@apache.org on 2017/09/23 02:53:17 UTC
kafka git commit: MINOR - Adding New York Times logo to streams page
Repository: kafka
Updated Branches:
refs/heads/trunk 71a65d95a -> 1fd70c7c9
MINOR - Adding New York Times logo to streams page
Author: Manjula K <ma...@kafka-summit.org>
Author: manjuapu <ma...@confluent.io>
Reviewers: Guozhang Wang <wa...@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 <ma...@kafka-summit.org>
Authored: Sat Sep 23 10:53:10 2017 +0800
Committer: Guozhang Wang <wa...@gmail.com>
Committed: Sat Sep 23 10:53:10 2017 +0800
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docs/images/icons/NYT.jpg | Bin 0 -> 12605 bytes
docs/streams/index.html | 30 ++++++++++++++++--------------
2 files changed, 16 insertions(+), 14 deletions(-)
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http://git-wip-us.apache.org/repos/asf/kafka/blob/1fd70c7c/docs/images/icons/NYT.jpg
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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
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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>
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