BarCamp7 – Computation on Cloud 9 (SaaS, PaaS, Virtualization and more…)

Seventh in the series of BarCamp – BarCamp7 was hosted by Amazon Dev Center, Hyderabad on 30th Aug 2008. The theme of BarCamp this time was Computation on Cloud 9 (SaaS, PaaS, Virtualization and more…). There were more than 180 registrations and around 100 participants with 10 sessions including presentations, demos and talks. It was informative in a few sessions but some of the presentations were not so interesting and hence I saw 40% of the crowd moving out by mid event. Anyways, let’s look into the sessions individually –

1) Introduction Session and Cloud Computing by Ramesh Loganathan – Since the event start a bit late hence all sessions were cut down to 20mins. This session was quick and looked into what Saas\PaaS\Virtualization is and what is Cloud. I found this as a good start to BarCamp.

2) Grid Computing and Hadoop by Jyoti from Yahoo Research – This session too went well, a bit longer but informative (at least for a few like me ). This was about Grid computing and what a Map Reduce is, which can be found with Hadoop ( ).

3) Demo on Google app engine SDK – This was a quick Demo session from Googlers about writing small app using Google App Engine SDK for development and Google Infrastructure for deployment. Google App Engine come under PaaS (Platform as a Service).

4) Progress – Salesforce introduction – This session was taken by Salesforce to take the audience to a deeper level into the DB changes which they can make.

5) Amloc from 3i Infotech – This was all theoretical session on why 3i infotech chose multi tenancy for their banking solution for their client banks.

6) Demo on EC2 and EBS by a Hyderad based startup – This was all practical and demo based session showing how you actually use an image on EC2 and was one of the best sessions. This was though hit by low internet speed which again was unexpected at Amazon.

This was the last session I attended and then came out. I found Grid computing as most interesting more because it looked into making Grids and looking into search space. Cloud computing is spreading very rapidly because of its core strength – cloud. It can reduce the actual infrastructure cost to minimal in a few scenarios, one of the examples could be testing space where you need large chunk of test machines\server but for less amount of time and once the work is complete the machines are dump and then are required again when some other test pass comes. Here cloud based solutions could be helpful.

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Who am I what am I doing?

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