Introduction to the Panda Kaltura AWS Cluster

We are excited to launch a new post series about the Panda Kaltura AWS cluster. Kaltura is an open source video platform loaded with features. The platform can be partitioned into multiple machines for scalability, performance and robustness. However, deploying, installing and scaling is not an easy task, and many changes and configurations have to be made manually.

Amazon AWS is a cloud computing platform launched in 2006. It includes dozens of services which integrate well with each other and enable a lot of flexibility. Services include CloudFront (content delivery network), S3 (object store), EBS (persistent storage), EC2 (computing) Load Balancing, Elastic IPs and more.

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Deploy a Kaltura CE5 Cluster on AWS

The Kaltura CE5 video server can be deployed as a stand alone server, but to serve many users a distributed setup is required. Setting up a Kaltura CE5 cluster on AWS also enables adding more servers when needed with no impact on availability.

At PandaOS we wrote a web interface for making such deployments automatic and easy with using Amazon Web Services. Below I describe the setup required on AWS to install a distributed Kaltura environment.

Before you start the installation, you need to create an AMI (Amazon image) of a machine with Kaltura installed on it. Then you can use that image to launch all your Kaltura instances.

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