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The following commit(s) were added to refs/heads/asf-site by this push:
     new ae8089e  Add Delight to third-party projects
ae8089e is described below

commit ae8089ee233752422b02fb3cad7a50ed92ec71eb
Author: Jean-Yves Stephan <jean-y...@datamechanics.co>
AuthorDate: Wed Nov 18 07:33:09 2020 -0600

    Add Delight to third-party projects
    
    Data Mechanics Delight is a free, hosted, cross-platform monitoring tool 
for Apache Spark. It is powered by an open-source Spark agent which works on 
top of any type of Spark infrastructure (commercial or open-source, in the 
cloud or on-premise, etc).
    
    The project is live as of November 2020 and will get significant 
improvement over the following weeks -- right now it is a dashboard giving you 
access to the Spark UI (Spark History Server), but we will soon add new 
debugging screens with memory and CPU metrics to complement and improve on the 
Spark UI.
    
    We hope the Spark community will really benefit from this tool, and so we'd 
love to be listed on this page.
    
    Reference:
    - https://www.kdnuggets.com/2020/07/monitoring-apache-spark-better-ui.html
    - https://www.datamechanics.co/delight
    
    Author: Jean-Yves Stephan <jean-y...@datamechanics.co>
    
    Closes #298 from jystephan/add-delight.
---
 site/third-party-projects.html | 2 ++
 third-party-projects.md        | 2 ++
 2 files changed, 4 insertions(+)

diff --git a/site/third-party-projects.html b/site/third-party-projects.html
index ceea89a..e97c063 100644
--- a/site/third-party-projects.html
+++ b/site/third-party-projects.html
@@ -268,8 +268,10 @@ transforming, and analyzing genomic data using Apache 
Spark</li>
 </ul>
 
 <h2>Performance, Monitoring, and Debugging Tools for Spark</h2>
+
 <ul>
   <li><a href="https://github.com/g1thubhub/phil_stopwatch";>Performance and 
debugging library</a> - A library to analyze Spark and PySpark applications for 
improving performance and finding the cause of failures</li>
+  <li><a href="https://www.datamechanics.co/delight";>Data Mechanics 
Delight</a> - Delight is a free, hosted, cross-platform Spark UI alternative 
backed by an open-source Spark agent. It features new metrics and 
visualizations to simplify Spark monitoring and performance tuning.</li>
 </ul>
 
 <h2>Additional Language Bindings</h2>
diff --git a/third-party-projects.md b/third-party-projects.md
index cf39b26..993ac5c 100644
--- a/third-party-projects.md
+++ b/third-party-projects.md
@@ -71,7 +71,9 @@ transforming, and analyzing genomic data using Apache Spark
 - <a href="http://rumbledb.org";>Rumble for Apache Spark</a> - A JSONiq engine 
to query, with a functional language, large, nested, and heterogeneous JSON 
datasets that do not fit in dataframes.
 
 <h2>Performance, Monitoring, and Debugging Tools for Spark</h2>
+
 - <a href="https://github.com/g1thubhub/phil_stopwatch";>Performance and 
debugging library</a> - A library to analyze Spark and PySpark applications for 
improving performance and finding the cause of failures
+- <a href="https://www.datamechanics.co/delight";>Data Mechanics Delight</a> - 
Delight is a free, hosted, cross-platform Spark UI alternative backed by an 
open-source Spark agent. It features new metrics and visualizations to simplify 
Spark monitoring and performance tuning.
 
 <h2>Additional Language Bindings</h2>
 


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