AWS technology to
support our solutions

aws

MediaSuite is designed from the ground up as a native AWS solution

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.
consistent data
Reliability
vertical integration
Efficiency
consistent data
Scalability
vertical integration
Cutting-edge AI
technology

AWS capabilities used by MediaSuite products

  • 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.
consistent data
consistent data
Lambda
consistent data
Elasticsearch
consistent data
EC2
consistent data
Mediaconvert
consistent data
S3 Glacier
consistent data
S3
consistent data
Aurora RDS
consistent data
Rekognition
consistent data
SQS
consistent data
Stepfunctions
consistent data
API Gateaway

AWS capabilities used by MediaSuite products

  • 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.

Do you need more info?

Contact us