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Developers discuss ways to program in cloud environments



Alex Handy
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October 9, 2008 —  (Page 1 of 3)
Developers are starting to learn that clouds don’t always mean rain. But as Amazon, Google and eventually Microsoft work to build their stratospheric infrastructures, developers are still trying to figure out just what building applications for the cloud really entails. Are proprietary cloud APIs an anathema, or are they the quickest possible route to fast scalability?

David Intersimone, evangelist for CodeGear at Embarcadero Systems, said the current ecosystem of clouds is relatively tolerant of developer holy wars over protocols and transports. “The nice thing for developers is that you can pick protocols and you can pick transports. To me, it’s what that service provides. They’re making the architectural choices at Amazon, they’re making them at Microsoft, when they start opening up their clouds. From a developer standpoint, it’s right mouse click, get the interfaces and start using them. As long as you have rich support for different protocols and different transports, the tooling should be able to serve up the interfaces in the right way.”

Since a service such as Amazon’s makes architectural choices before development even begins, some of those decisions could tie your application to a specific cloud. That hasn’t stopped some users from building open-source alternatives and knockoffs. John Spurlock’s proof-of-concept baltic-avenue application, for example, brings Amazon’s Simple Storage Service (S3) representational state transfer API into Google’s application engine, letting users mash up two competing cloud hosting services.

Rod Boothby, vice president of platform evangelism at cloud hosting company Joyent, said LinkedIn discovered a number of neat tricks to save itself time and money when building its Bumper Sticker Facebook application, which is hosted in a Joyent cloud. Along the way, the IT team working on the project discovered that a large amount of the hosting job could be offloaded to Facebook by pushing images into Facebook’s caching service. With a few simple tweaks to the code and the load balancers in front of its cloud, LinkedIn managed to push almost 80% of its hosting load to Facebook, saving bandwidth and money.



Related Search Term(s): cloud computing, Amazon, Google, Microsoft

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