Streaming Workflows on AWS

Executive Summary

• AWS described an infrastructure-as-code pattern for deploying an end-to-end live streaming system with ad insertion, centered on the Live Event Framework (LEF) and AWS Cloud Development Kit (AWS CDK).
• AWS also outlined integrated direct-to-consumer (DTC) streaming demonstrations that span ingestion, encoding/packaging, localization, personalization, immersive experiences, and operational monitoring/observability, presented at IBC Show 2024 (September 13—16, Amsterdam).

Key Industry Developments

• Infrastructure-as-code for SSAI-enabled live streaming (LEF on AWS)
• LEF is positioned as a repeatable deployment pattern for proof-of-concepts and test platforms that need server-side ad insertion (SSAI), reducing the effort of standing up multiple integrated services for live events.
• LEF is pre-configured with AWS Elemental MediaTailor to support SSAI for large-scale live streaming events, and it places an Amazon CloudFront distribution in front of the MediaTailor configuration to handle player interactions and requests.
• LEF uses a three-tier, multi-stack architecture and specifies an ordered deployment workflow: Foundation Stack, Event Group Stack, then Event Stack.
• LEF deploys AWS Elemental MediaPackage V2 resource types and explicitly does not support MediaPackage Live V1 channels, constraining the packaging/origin options to V2 constructs.
• Integrated DTC streaming demonstrations (AWS showcase at IBC 2024)
• AWS described seven integrated demonstrations that cover end-to-end DTC workflows, including content and metadata ingestion, media encoding and packaging, live transcription and localization, personalized consumer presentations, immersive experiences, and service operations/observability.
• The demonstrations are grouped into five categories: XR immersive content experiences; FAST channels and VOD content management; localized video streaming; user-influenced content creation; and optimized operations with monitoring and observability.
• The service set referenced for these demonstrations includes AWS Elemental MediaLive and AWS Elemental MediaPackage for live streaming workflows, Amazon Transcribe for transcription, and additional services such as Amazon Bedrock, Amazon Personalize, AWS Data Exchange, AWS Elemental MediaTailor, Amazon Managed Grafana, Amazon QuickSight, Amazon Q, and Amazon CloudFront.

Real-World Use Cases

• SSAI proof-of-concepts and validation using LEF
• Teams can deploy a multi-service live streaming architecture for events with ad insertion, using LEF as the baseline environment for SSAI testing and iteration.
• LEF supports testing ad insertion concepts using sample video content with SCTE markers and a basic ad decision server (ADS), enabling validation of ad signaling behavior before integrating a commercial ADS.
• LEF supports both server-side and client-side ad tracking options provided by MediaTailor, enabling evaluation of different reporting models during SSAI trials.
• DTC experiences: localization, multi-view, interactivity, and operations
• A localized streaming workflow enables selectable, real-time subtitles in multiple languages using Amazon Transcribe plus a partner real-time translation solution, supporting live programming accessibility and localization scenarios.
• A multi-view player demonstration uses HEVC tiled encodes and packaging to deliver multiple views efficiently under bandwidth constraints, aligning with multi-camera or multi-angle viewing requirements.
• Operational monitoring and observability are demonstrated with dashboards built using Amazon QuickSight and Amazon Managed Grafana, and the description includes using Amazon Q to summarize and analyze collected data.

Why It Matters

• SSAI requires coordinated integration across the delivery chain
• Implementing ad insertion into a live streaming platform requires integration across players, CDNs, content origin, and an ad decision system; LEF is presented as a way to deploy an end-to-end baseline that already wires together multiple services for SSAI evaluation.
• Repeatable deployment patterns support faster experimentation
• By using AWS CDK and a multi-stack architecture with a defined deployment order, LEF emphasizes repeatability for POCs and test platforms, which can help teams iterate on ad signaling, ad decisioning, and personalization parameters without rebuilding the environment from scratch.
• End-to-end DTC workflows extend beyond streaming into localization and operations
• The IBC showcase description ties together encoding/packaging, transcription/localization, personalization, immersive experiences, and observability, indicating that DTC platform work commonly spans both media pipelines and operational analytics tooling (for example, QuickSight and Managed Grafana dashboards).

Sources

• https://aws.amazon.com/blogs/media/introducing-the-live-event-framework-live-streaming-with-ad-insertion-on-aws/
• https://aws.amazon.com/blogs/media/aws-direct-to-consumer-streaming-showcase-at-ibc-2024/