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Posted to commits@kafka.apache.org by gu...@apache.org on 2017/10/30 19:27:02 UTC
kafka-site git commit: Adding Trivago logo to streams page
Repository: kafka-site
Updated Branches:
refs/heads/asf-site 757687334 -> e977ecca1
Adding Trivago logo to streams page
guozhangwang Please review
Author: Manjula K <ma...@kafka-summit.org>
Reviewers: Guozhang Wang, Miachel G. Noll
Closes #105 from manjuapu/lighthouse-logo
Project: http://git-wip-us.apache.org/repos/asf/kafka-site/repo
Commit: http://git-wip-us.apache.org/repos/asf/kafka-site/commit/e977ecca
Tree: http://git-wip-us.apache.org/repos/asf/kafka-site/tree/e977ecca
Diff: http://git-wip-us.apache.org/repos/asf/kafka-site/diff/e977ecca
Branch: refs/heads/asf-site
Commit: e977ecca1f2d85e493eb10dd4c3ea57cff297e61
Parents: 7576873
Author: Manjula K <ma...@kafka-summit.org>
Authored: Mon Oct 30 12:26:59 2017 -0700
Committer: Guozhang Wang <wa...@gmail.com>
Committed: Mon Oct 30 12:26:59 2017 -0700
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0110/streams/index.html | 57 ++++++++++++++++++++++++++------------------
css/styles.css | 2 +-
2 files changed, 35 insertions(+), 24 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/kafka-site/blob/e977ecca/0110/streams/index.html
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diff --git a/0110/streams/index.html b/0110/streams/index.html
index da3dbe3..948cd0c 100644
--- a/0110/streams/index.html
+++ b/0110/streams/index.html
@@ -17,7 +17,7 @@
</script>
<script id="streams-template" type="text/x-handlebars-template">
<h1>Kafka Streams API</h1>
- <div class="sub-nav-sticky">
+ <div class="sub-nav-sticky">
<div class="sticky-top">
<div style="height:35px">
<a class="active-menu-item" href="/{{version}}/documentation/streams/">Introduction</a>
@@ -27,10 +27,10 @@
<a href="/{{version}}/documentation/streams/tutorial">Tutorial: Write App</a>
</div>
</div>
- </div>
-
- <h3 class="streams_intro">The easiest way to write mission-critical real-time applications and microservices</h3>
- <p class="streams__description">Kafka Streams is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.</p>
+
+ </div>
+ <h3 class="streams_intro">The easiest way to write mission-critical real-time applications and microservices</h3>
+ <p class="streams__description">Kafka Streams is a client library for building applications and microservices, where the input and output data are stored in Kafka clusters. It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka's server-side cluster technology.</p>
<div class="video__series__grid">
<div class="yt__video__block">
<div class="yt__video__inner__block">
@@ -86,21 +86,39 @@
<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">
+ <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://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 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__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">
- <a href="https://medium.com/@Pinterest_Engineering/using-kafka-streams-api-for-predictive-budgeting-9f58d206c996">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.
+ <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.confluent.io/blog/real-time-financial-alerts-rabobank-apache-kafkas-streams-api/" target="_blank" class="grid__logo__link">
@@ -108,25 +126,18 @@
</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 <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 class="customer__grid">
- <div class="customer__item streams_logo_grid streams__line__grid">
- <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 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>
<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>
+ <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 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 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>
+
</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>
http://git-wip-us.apache.org/repos/asf/kafka-site/blob/e977ecca/css/styles.css
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diff --git a/css/styles.css b/css/styles.css
index d6e8c77..e389651 100644
--- a/css/styles.css
+++ b/css/styles.css
@@ -1341,7 +1341,7 @@ ul.video-list {
overflow: hidden;
}
.extra__space{
- padding-bottom:7.2rem;
+ padding-bottom:2.8rem;
}
/* Responsive styles */