Andrei Savu commented on ZOOKEEPER-701:

I just wanted to say that I had a great learning experience while working on 
ZooKeeper as a GSoC Student Developer. Thank you all for feedback. Thanks 
Patrick for mentoring.

I'm not going to leave :) I will keep on submitting patches. Some of the things 
I'm planning to work on in the near future are:
* awesome REST gateway that implements all the ZooKeeper API features 
* allow ephemerals to have children nodes: ZOOKEEPER-834
* lightweight Pythonic wrapper around zkpython that also implements basic 
synchronization primitives and provides more recipes
* production ready job queue also implemented in Python
* a tool for easy configuration publishing

I will do one thing at a time, do it well, and move on. I hope to be able to 
finish in a reasonable time frame. 

Thanks again for giving me this opportunity. I will keep in touch. 

> GSoC 2010: Monitoring Recipes and Web-based Administrative Interface
> --------------------------------------------------------------------
>                 Key: ZOOKEEPER-701
>                 URL: https://issues.apache.org/jira/browse/ZOOKEEPER-701
>             Project: Zookeeper
>          Issue Type: Wish
>            Reporter: Henry Robinson
>            Assignee: Andrei Savu
>         Attachments: milestones.txt
> Monitoring Recipes And Web-based Administrative Interface
> Mentor: Patrick Hunt (ph...@apache.org)
> Requirements:
> Modern web platform - e.g. Django. Some design or UI skills would help. Java 
> for adding methods to ZooKeeper.
> Description:
> ZooKeeper is a complex distributed system. Understanding how well it is 
> running is tremendously important. Patrick Hunt has created a Django-based 
> dashboard (see http://github.com/phunt/zookeeper_dashboard) that allows some 
> insight into how ZooKeeper is running. This is a great foundation on which to 
> build; however there are improvements that could be made! This project would 
> capture much more information from ZooKeeper, adding hooks to retrieve it 
> where necessary and visualise it in a appealing and useful way. Integration 
> with Ganglia would be a definite plus.

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