Media Suite

AWS technology to
support our solutions

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Two strategic factors convinced us AWS was fit for the job:

Dependability, measured as a combination of scalability, cost-effectiveness and reliability. AWS orientation towards serverless computation with AWS Lambda and SQS ranks very high along these three dimensions. Classical redundancy, uptime and security KPIs in critical areas such as RDS are also unparalleled in the market.
Innovativeness: Some key components of MediaSuite make extensive use of AI technology for textual and video analysis. Beyond core cloud functionality, AWS has stayed on the edge of value-added service offering with a constant track record of new launches such as Elasticsearch integration, Rekognition and AWS Elemental MediaConvert. This commitment to innovation makes AWS an ideal choice for the long-term evolution of MediaSuite.

Reliability

Efficiency

Scalability

Cutting-edge AI
technology

Mediastream’s central metadata repository (known as the IMS), is deployed on top of Amazon Aurora. Import (from metadata sources to the IMS) and export (from IMS to end-user platforms) subsystems are heavily parallelized via extensive use of AWS Lambda Functions pipelined through SQS queues: we are now refactoring the remaining server-based elements ( running on EC2) to achieve a fully serverless architecture. Metadata matching, a process by which new content entries are compared against the IMS for duplication detection and information merging, uses algorithmic machinery reliant on Elasticsearch. The online UI is served through Amazon API Gateway.
MediaShot relies on Amazon Rekognition for detection and extraction of relevant snapshots from media files to be used as graphical metadata (covers, banners, etc.)
Media processing management by MediaCode is designed around the workflow capabilites of AWS Step Functions. Heavy-duty work, such as transcoding, quality checking and packaging, is also executed by EC2-virtualized services or transferred to AWS native services like AWS Elemental MediaConvert. Intermediate and deliverable assets are stored with S3 and archived in S3 Glacier.

Lambda

Elasticsearch

EC2

Mediaconvert

S3 Glacier

Aurora RDS

Rekognition

SQS

Stepfunctions

API Gateaway

Mediastream’s central metadata repository (known as the IMS), is deployed on top of Amazon Aurora. Import (from metadata sources to the IMS) and export (from IMS to end-user platforms) subsystems are heavily parallelized via extensive use of AWS Lambda Functions pipelined through SQS queues: we are now refactoring the remaining server-based elements ( running on EC2) to achieve a fully serverless architecture. Metadata matching, a process by which new content entries are compared against the IMS for duplication detection and information merging, uses algorithmic machinery reliant on Elasticsearch. The online UI is served through Amazon API Gateway.
MediaShot relies on Amazon Rekognition for detection and extraction of relevant snapshots from media files to be used as graphical metadata (covers, banners, etc.)
Media processing management by MediaCode is designed around the workflow capabilites of AWS Step Functions. Heavy-duty work, such as transcoding, quality checking and packaging, is also executed by EC2-virtualized services or transferred to AWS native services like AWS Elemental MediaConvert. Intermediate and deliverable assets are stored with S3 and archived in S3 Glacier.