The Panda Kaltura AWS Cluster – S3 and Cloudfront

In the previous posts we have discussed the various Amazon AWS services and how we use them for operating Kaltura CE clusters. In this post, we will discuss the last part of our cluster: the video storage and streaming. A Kaltura deployment usually stores the videos locally on the file system. While this is good for small installations, sometimes you want the flexibility and durability of a remote storage.
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Delete Kaltura Entries from Amazon S3 Bucket

Delete Kaltura Entries from S3 Bucket Automatically

When setting up a Kaltura cluster, you usually want to store the entries on a remote storage like an Amazon S3 bucket. The problem is that when deleting entries using the Kaltura KMC, they are not deleted from the bucket, which can cost you money.

We have previously written about using S3 with Kaltura, which included several fixes to the Kaltura database. To delete Kaltura Entries from S3 Bucket automatically, we need to perform several code and database fixes which are described below. Continue reading

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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