The Media2Cloud on AWS solution sets up a serverless end-to-end ingest workflow to move your video assets and associated metadata to the cloud. This solution is designed to provide a standardized architecture that helps accelerate the migration and supply chain process, and helps Media Asset Manager (MAM) partners provide solutions for their customers.
Leverage the Media2Cloud on AWS solution out of-the-box, or as a reference implementation for building a serverless framework to accelerate the setup and configuration of a content ingest process.
The solution creates a simple web interface that makes it easy to upload, browse, and search your video and image files and extracted metadata.
This solution helps you to quickly and seamlessly extract key details from your media files in your AWS accounts without machine learning expertise. The solution also includes a web-based user interface that you can use to ingest and analyze your media content.
An Amazon API Gateway RESTful API endpoint, which is configured to use AWS IAM authentication.
An AWS Step Functions main state machine which serves as the entry point to the solution’s backend ingestion and analysis workflows.
An AWS Step Functions ingestion sub-state machine that orchestrates the ingestion process by media file type and generates proxies for ingested media. It uses AWS Elemental MediaConvert for video and audio files and open-source tools for image files and documents.
Amazon DynamoDB tables to store artifacts generated during the ingestion and analysis processes, such as overall status, pointers to where intermediate files are stored, and state machine run tokens.
An Amazon OpenSearch Service cluster, which stores ingestion attributes and machine learning metadata, and facilitates customers’ search and discovery needs.
Four Amazon Simple Storage Service (Amazon S3) buckets to store uploaded content, file proxies that the solution generates during ingestion, static web application artifacts, and access logs for services used.
Amazon EventBridge used by an internal queue management system where the backlog system notifies workflows (state machines) when a queued AI/ML request has been processed.
An AWS IoT Core topic that allows the ingestion and analysis workflows to communicate with the front-end web application asynchronously through publish/subscribe MQTT messaging.
Amazon Simple Notification Service (Amazon SNS) topics to allow Amazon Rekognition to publish job status in the video analysis workflow, and to support custom integration with customers’ system.
By engaging TrackIt to deploy the AWS Media2Cloud on AWS implementation, Jukin Media collated huge volumes of user-generated video content with a streamlined and automated process, saving them time and money.
Introduction to AWS Media Services
This course provides an introduction to the AWS Media Services and how they can be used to deliver live and on-demand video by implementing video processing, storage and monetization workflows in the cloud.
Getting Started with Amazon Simple Storage Service (S3)
This intermediate self-paced course introduces you to Amazon S3 and provides you with the knowledge to determine when to use Amazon S3 by reviewing typical use cases and understanding how the service provides object storage for your applications.
Introduction to AWS Elemental MediaConvert
In this course, you will learn about AWS Elemental MediaConvert, a file-based video processing service that allows anyone, with any size content library, to easily and reliably transcode on-demand content for broadcast and multiscreen delivery.