Video transcoding pipeline using AWS MediaConvert
Why Choose This Project?
With the surge of video streaming platforms, online courses, and multimedia content, video transcoding is essential to convert videos into multiple formats, resolutions, and bitrates for seamless playback across devices. Using AWS MediaConvert, students can build a serverless, scalable, and automated video transcoding pipeline.
This project is ideal for learning cloud media processing, serverless workflows, and scalable content delivery.
What You Get
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Upload videos to cloud storage (S3) and automatically transcode to multiple formats/resolutions
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Automated orchestration of transcoding jobs using serverless workflows
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Store transcoded outputs in S3 for streaming or download
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Real-time monitoring of transcoding job status
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Alerts for failed or delayed jobs
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Scalable architecture for processing multiple videos concurrently
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Metadata management and logging for all video assets
Key Features
| Feature | Description |
|---|---|
| Automated Video Ingestion | Upload raw video files to S3 and trigger transcoding jobs |
| Multi-Format Transcoding | Convert videos into HLS, MP4, or other formats for different devices |
| Adaptive Bitrate Streaming | Generate multiple bitrate outputs for smooth streaming |
| Serverless Orchestration | Use AWS Lambda or Step Functions to automate transcoding pipelines |
| Storage & Access | Store original and transcoded videos in S3 buckets |
| Monitoring & Alerts | Track job progress via CloudWatch and receive notifications via SNS |
| Scalable Architecture | Handle multiple concurrent transcoding jobs without server management |
| Metadata Management | Store video metadata (duration, format, resolution) in DynamoDB |
Technology Stack
| Layer | Tools/Technologies |
|---|---|
| Backend / Orchestration | AWS Lambda, AWS Step Functions |
| Video Processing | AWS MediaConvert |
| Storage | AWS S3 for input/output videos |
| Database | DynamoDB for metadata storage |
| Monitoring | CloudWatch for logs and metrics |
| Notifications | AWS SNS for job alerts |
| Frontend | HTML5, CSS3, Bootstrap 5, JavaScript (optional dashboard) |
| Authentication | AWS Cognito or IAM roles for secure access |
AWS Services Used
| Service | Purpose |
|---|---|
| AWS S3 | Store raw input videos and transcoded outputs |
| AWS MediaConvert | Perform video transcoding to multiple formats and bitrates |
| AWS Lambda | Trigger transcoding jobs and manage workflow logic |
| AWS Step Functions | Orchestrate sequential or parallel video transcoding tasks |
| DynamoDB | Store video metadata and processing logs |
| CloudWatch | Monitor transcoding jobs, logs, and metrics |
| SNS | Send notifications for job success, failure, or delays |
| IAM / Cognito | Secure access to services and resources |
Working Flow
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Video Upload
Users/admins upload raw videos to a designated S3 bucket. -
Trigger Transcoding Job
An S3 event triggers a Lambda function that initiates an AWS MediaConvert job. -
Transcoding Process
MediaConvert transcodes the video into multiple resolutions, bitrates, and formats (e.g., HLS, MP4). -
Store Output
Transcoded videos are saved in a separate S3 bucket for streaming or download. -
Metadata Logging
Lambda updates DynamoDB with metadata like video duration, format, resolution, and job status. -
Monitoring & Alerts
CloudWatch monitors job execution; SNS sends alerts for failed or delayed jobs. -
Optional Dashboard
Admins can view transcoding status, logs, and access transcoded video links from a web dashboard.