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Overview

This Guidance demonstrates how to deploy a media lake, which addresses media management challenges for organizations of all sizes using AWS services and partner integrations. It shows how to create a centralized system for managing digital media assets throughout their lifecycle, featuring automated and manual media workflows, global namespace organization, and advanced metadata management. The Guidance helps implement human-in-the-loop review capabilities and a unified media, archive, and metadata data catalog that connects through API and user interface layers. By following this Guidance, organizations can optimize processing times, reduce costs, and enhance content monetization.

Benefits

Automate metadata enrichment, intelligent search, and proxy generation for efficient asset discovery, repurposing, and monetization while reducing costs. Optimize content lifecycle management, speed up approval cycles, and enhance workflow efficiency.

Streamline media operations with customizable, event-driven pipelines and automated quality controls such as similarity detection. Eliminate manual handoffs while maintaining creative oversight through human-in-the-loop review capabilities.

Accelerate content delivery with configurable pipelines that combine automated processing and controlled review stages while maintaining quality standards through structured approval processes.

How it works

Overview

This architecture diagram provides a functional overview of the capabilities of a media lake on AWS.

Guidance for a Media Lake on AWS - Overview

High-level application architecture

This architecture diagram shows the high-level API, storage, and back-end architecture of a media lake on AWS.

Guidance for MediaLake on AWS - High-level application architecture

Pipeline execution and deployment

This architecture diagram shows the deployment and execution of pipelines used in a media lake to process media and produce metadata to aid search and render new versions for use with downstream systems.

Guidance for MediaLake on AWS - Pipeline execution and deployment

Deploy with confidence

Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs. 

Go to sample code

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.