Speaker: Luis Valdivia @ AWS Amarathon 2025
Summary by Amazon Nova
Problem Overview
Manual video processing
Slow turnaround time
Hard to scale or automate
Heavy ops / server maintenance
Traditional Video Workflow Summary
[ 1 ] Input:
Content is manually managed through initial operations.
Manual tasks
Long processing time
Servers utilized
Transcoding backlog
[ 2 ] Operations Flow:
Input goes to a Cron Job (a scheduling utility).
The cron job triggers Encoding.
Metadata is generated and stored on EC2 Servers.
After encoding/storage, the content undergoes Content Review.
The reviewed content is then pushed to the audience.
[ 3 ] Output:
The final consumption stage on a computer monitor, representing distribution.
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What is MediaOps?
MediaOps = DevOps for video workflows
Automates ingest → processing → delivery
Reduces manual steps
Ensures consistent, scalable pipelines
Improves quality, speed, and reliability
A four-step Media Operations (MediaOps) workflow:
Ingest: The process of taking in media content.
Process: The stage where media is prepared or modified.
Quality/Metadata: The step involving quality control and adding relevant data about the media.
Delivery: The final stage where the media is distributed or made available to its destination.
Core Amazon Web Services
S3 – ingest & storage
Lambda – event-driven logic
Step Functions – orchestration
MediaConvert – transcoding
Rekognition / Bedrock – analysis & AI metadata
CloudFront – global delivery
AI Automation Layer
Scene analysis (Rekognition)
Auto-generated metadata (Bedrock)
Intelligent decisions: reprocess, flag, publish
Event-driven orchestration (Lambda + Step Functions)
AI Automation Layer Workflow Summary
AI-driven video content workflow:
Input: A Video Output is directed into the automation system.
AI Automation: The core processing uses AI services, Rekognition and Bedrock.
Outputs/Actions: Based on the AI analysis, the system can trigger one of three actions:
[ 1 ] Reprocess: Send the content back for further processing.
[ 2 ] Flag: Mark the content for manual review or attention.
[ 3 ] Publish: Distribute the content live.
Key Benefits
Key benefits encompass eliminating 80% of manual operations
Accelerating publish time by 10 times
Achieving automatic scalability, enhancing discoverability and compliance with AI-generated consistent quality and metadata.
Team:
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