Vidispine

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The following how-to article describes how configure and add a AWS S3 to an existing Vidispine / Vidinet workflow solution.

Problem description

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Vidinet are not able to access a S3 Bucket.

Summary

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In the following how-to article you will learn how to configure an AWS S3 bucket for basic integration with Vidispine API / Vidinet. The steps described in this article will require

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  • a AWS account with the necessary control over the permissions needed for integration with Vidispine / Vidinenet- 

  • a basic understanding of the AWS services such as S3 ( the cloud storage)  and IAM ( the permissions service ) 

  • an verified installation of Vidispine API / Vidinet

  • a verified S3 bucket set up in your AWS account in order to attach this service to Vidinet

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Setting up your AWS S3 bucket


To create a S3 bucket in AWS, direct your attention to the webpage of your AWS account and the Service S3.

  • click the Create Bucket button and follow the instructions prompted by AWS.

  • to create the subdirectories, click on your bucket and then click the button Create folder. Choose a name for the initial storage.
    Repeat this process for the thumbnails directory.

In order for the S3 Bucket to be accessible for Vidinet a user needs to be created, or modified, to be allowed to use this resource. To grant permissions for the user to the S3 storage resource an AWS IAM Policy is used.

First, create a new user that should have permission to access this S3 bucket. Navigate to the AWS IAM Service. Click Users and then click then button Add user. Follow the instruction prompted by the dialog box. Make sure to enable Programmatic Access to this users Access type.

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Adding your AWS S3 to Vidinet.


if you have created your S3 bucket according to the previous chapter, the configuration of the S3 bucket integration to your Vidinet system should be quite straight forward from here.

During setup of your Vidispine as a Service, for instance a Team Edition, you will be asked to configure an initial storage and a storage for thumbnails

You may choose to use different S3 buckets or simply use a single bucket with different subdirectories for storage or thumbnails.


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Creating an S3 Bucket on AWS

Working with IAM policys on AWS

Getting started with Vidinet

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