[incubator-crail-website] branch asf-site updated: Publishing from f8d8a60cafc81dc9322a54d0ae26e4bbc1df1992

[pstuedi]

This is an automated email from the ASF dual-hosted git repository.

pstuedi pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/incubator-crail-website.git


The following commit(s) were added to refs/heads/asf-site by this push:
     new 54ddcb9  Publishing from f8d8a60cafc81dc9322a54d0ae26e4bbc1df1992
54ddcb9 is described below

commit 54ddcb9f1bf1cfa51f985fe9eba9db27a707f416
Author: Patrick Stuedi <pstu...@apache.org>
AuthorDate: Thu Apr 11 10:50:38 2019 +0200

    Publishing from f8d8a60cafc81dc9322a54d0ae26e4bbc1df1992
---
 content/documentation/index.html | 1 +
 content/feed.xml                 | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/content/documentation/index.html b/content/documentation/index.html
index 1da8b79..11b69c6 100644
--- a/content/documentation/index.html
+++ b/content/documentation/index.html
@@ -78,6 +78,7 @@
 
 <h2 id="presentations">Presentations</h2>
 <ul>
+  <li><a 
href="https://conferences.oreilly.com/strata/strata-ca/public/schedule/detail/71902";>Data
 processing at the Speed of 100 Gbps using Apache Crail</a>, Oreilly Strata, 
2019.</li>
   <li><a href="//crail.incubator.apache.org/files/crail-project-web.pdf">Data 
Processing at the Speed of 100 Gbps using Apache Crail (Incubating)</a>, ETH 
Zurich, September, 2018.</li>
   <li><a 
href="https://databricks.com/session/serverless-machine-learning-on-modern-hardware-using-apache-spark";>Serverless
 Machine Learning on Modern Hardware Using Apache Spark</a>, Spark AI Summit, 
2018.</li>
   <li><a 
href="https://dataworkssummit.com/san-jose-2018/session/data-processing-at-the-speed-of-100-gbpsapache-crail-incubating/";>Data
 processing at the speed of 100 Gbps@Apache Crail (Incubating)</a>, DataWorks 
Summit, 2018.</li>
diff --git a/content/feed.xml b/content/feed.xml
index bfa9306..26dbed7 100644
--- a/content/feed.xml
+++ b/content/feed.xml
@@ -1,4 +1,4 @@
-<?xml version="1.0" encoding="utf-8"?><feed 
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/"; 
version="3.8.5">Jekyll</generator><link 
href="http://crail.incubator.apache.org//feed.xml"; rel="self" 
type="application/atom+xml" /><link href="http://crail.incubator.apache.org//"; 
rel="alternate" type="text/html" 
/><updated>2019-04-11T10:47:08+02:00</updated><id>http://crail.incubator.apache.org//feed.xml</id><title
 type="html">The Apache Crail (Incubating) Project</ti [...]
+<?xml version="1.0" encoding="utf-8"?><feed 
xmlns="http://www.w3.org/2005/Atom"; ><generator uri="https://jekyllrb.com/"; 
version="3.8.5">Jekyll</generator><link 
href="http://crail.incubator.apache.org//feed.xml"; rel="self" 
type="application/atom+xml" /><link href="http://crail.incubator.apache.org//"; 
rel="alternate" type="text/html" 
/><updated>2019-04-11T10:50:37+02:00</updated><id>http://crail.incubator.apache.org//feed.xml</id><title
 type="html">The Apache Crail (Incubating) Project</ti [...]
 &lt;p&gt;
 In the last &lt;a 
href=&quot;http://crail.incubator.apache.org/blog/2019/03/disaggregation.html&quot;&gt;blog
 post&lt;/a&gt; we discussed the basic design of the Crail disaggregated 
shuffler as well as its performance under different configurations for two 
workloads. In this short follow-up blog we briefly describe the various options 
in Crail for deploying disaggregated storage. 
 &lt;/p&gt;