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Kaltura in the Amazon Cloud

This method is no longer supported, please use the latest platform packages to deploy Kaltura on your infrastructure.

We’ve been listening to our community. And besides an easier & faster installation flow for the Kaltura CE, we’ve read on the KalturaCE forums, Facebook, and surveys that you want Amazon Cloud Images.
So we’re pleased to offer two Amazon Machine Images (AMIs), a 32-bit image and a 64-bit image, pre-configured with Ubuntu Linux 10.4 LTS and the newly released Kaltura Community Edition version 3.0, ready to launch:
ami-a80ef9c1 – This is Kaltura CE 3.0 running on 32-bit Ubuntu 10.4 LTS
ami-ae0ef9c7  – This is Kaltura CE 3.0 running on 64-bit Ubuntu 10.4 LTS

[May 12th, 2011 update to remove ssh keys from image]
ami-d8ad53b1 – This is Kaltura CE 3.0 running on 32-bit Ubuntu 10.4 LTS
ami-9cad53f5  – This is Kaltura CE 3.0 running on 64-bit Ubuntu 10.4 LTS
The 32-bit image is targeted for economical sites that have mild bandwidth and horsepower requirements.  For more powerful sites, the 64-bit image can be used on Amazon’s largest machine sizes. The goal is to make it as easy as possible to launch your own Kaltura Community Edition server and be productive immediately: uploading, converting, transcoding, monetizing, analyzing, and syndicating your media assets.
Available initially in Amazon’s US-east availability zone, these images use Amazon’s Elastic Block Store (EBS) which ensures that your data will still be intact if there’s a system crash. You can choose to launch a single 32-bit server with 1 virtual core and 1.7gig of RAM, all the way up to multiple 64-bit servers with 8 virtual cores and 68gig of RAM each, and up to a terabyte of EBS media storage for each server.
Only a few simple tasks are necessary to be and running (you should have access to an SMTP mail server or get a free account at or another SMTP vendor).
Complete installation details are available on our documentation page. If you’d like to learn how to use Amazon EC2, refer to the EC2 Getting Started Guide.
Help us improve our product by opting in to system data reporting during installation, provide feedback in our forums, and post bug reports on our bug tracker.

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