Development framework for building applications that process multimedia
Publication date: April 2021 (last update: November 2024)
Media Insights on AWS is a development framework for building applications that process videos, images, audio, and text with machine learning services on Amazon Web Services (AWS). Media Insights on AWS takes care of workflow orchestration and data persistence so that you can focus on workflow development. By addressing the concerns of running workflows, Media Insights on AWS empowers you to build applications faster with the benefit of inheriting a pre-built and robust backend.
For additional details and sample use cases, refer
to How
to rapidly prototype multimedia applications with Media Insights on AWS
This solution does not provide a graphical user interface (GUI);
however, the Media Insights on
AWS GitHub
repository
This implementation guide provides an overview of the Media Insights on AWS solution, its reference architecture and components, considerations for planning the deployment, and configuration steps for deploying the Media Insights on AWS solution to the AWS Cloud.
The intended audience for using this solution’s features and capabilities in their environment includes solution architects, business decision makers, DevOps engineers, data scientists, and cloud professionals.
Use this navigation table to quickly find answers to these questions:
| If you want to . . . | Read . . . |
|---|---|
|
Know the cost for running this solution. The estimated cost for running this solution in the US-East (N.Virginia) Region is USD $24.00 per month. |
Cost |
| Understand the security considerations for this solution. | Security |
| Know how to plan for quotas for this solution. | Quotas |
| Know which AWS Regions are supported for this solution. | Supported AWS Regions |
| View or download the AWS CloudFormation template included in this solution to automatically deploy the infrastructure resources (the “stack”) for this solution. | AWS CloudFormation template |
|
Access the source code and optionally use the AWS Cloud Development Kit (AWS CDK) to deploy the solution. |
GitHub
repository |
