Scalable Low-Latency Live Streaming with Amazon IVS

Scalable Low-Latency Live Streaming with Amazon IVS

Near real-time interactive streaming (2–5s) using Amazon IVS and a serverless control plane

Live video streaming setup

Executive Summary

This case study explores the implementation of a robust, low-latency live video streaming architecture using Amazon Interactive Video Service (IVS). By leveraging a full-stack TypeScript environment, the solution bridges professional broadcasting tools with modern web playback.

The resulting system consistently delivers 2–5 seconds of glass-to-glass latency while maintaining a clean separation between the control plane (application logic) and the data plane (video ingestion and delivery).


The Challenge

Modern live streaming applications demand near real-time interaction between broadcasters and viewers. Building such systems introduces several complex challenges:

High Latency

Traditional streaming pipelines often struggle to achieve the sub-5-second latency required for interactive experiences such as live events, Q&A sessions, and auctions.

Complex Infrastructure

Manually managing:

  • Video ingestion
  • Transcoding pipelines
  • Global content delivery

is resource-intensive and difficult to scale reliably.

Security Risks

Stream keys must be protected while ensuring playback is accessible only to authorized viewers - requiring a secure, well-designed backend.


The Solution: Managed Streaming with Amazon IVS

IVS streaming integration

The solution leverages Amazon IVS as a fully managed service for video logistics, paired with a custom TypeScript backend to handle business logic and security.

Core Components

  • Infrastructure: Amazon IVS (Standard Channel type, Low-Latency mode)
  • Backend: Node.js API written in TypeScript for channel lifecycle management
  • Frontend: React application using the Amazon IVS Player SDK
  • Broadcasting: OBS Studio streaming via RTMP

This approach offloads operational complexity to AWS while preserving full control over application behavior.


Implementation Strategy

System Architecture

The system was designed with a strict separation of responsibilities:

  • Control Plane (Backend):
    Manages channel creation, configuration, and metadata persistence.
    Acts as the single source of truth.

  • Data Plane (Amazon IVS):
    Handles video ingestion, transcoding, and global low-latency delivery.

This separation improves reliability, scalability, and security.


The Streamer Flow (Backend)

When a streamer initiates a session, the backend performs a secure setup:

  1. Channel Creation
    The backend issues a CreateChannelCommand to Amazon IVS.

  2. Persistence
    Critical details - such as:

    • Channel ARN
    • Ingest endpoint
    • Playback URL

    are stored securely in the database.

Stream keys are never exposed to the frontend.


The Viewer Flow (Frontend)

The viewer experience emphasizes speed, simplicity, and resilience:

  1. The frontend requests stream details via a secure endpoint
    GET /api/stream/:eventId

  2. The backend retrieves the playbackUrl from the database.

  3. The Amazon IVS Player SDK handles HLS playback, offering:

    • Automatic stream recovery
    • Optimized low-latency playback

Key Results

The final architecture delivered strong results across performance, security, and operations.

Outcomes

  • Low Latency
    Consistent 2–5 seconds of glass-to-glass latency, enabling real-time audience interaction.

  • Enhanced Security
    Stream credentials are fully managed by the backend, minimizing exposure.

  • Scalability
    Amazon IVS automatically handles global distribution, allowing the application to scale without manual intervention.

  • Observability
    Integration with Amazon CloudWatch provides visibility into:

    • Viewer counts
    • Stream health
    • Operational metrics

Conclusion

This implementation demonstrates that a TypeScript-based full-stack architecture, combined with Amazon IVS, provides a powerful foundation for production-grade live streaming.

By offloading infrastructure complexity to AWS while retaining control over application logic and user experience, the solution effectively resolves the classic build vs. buy dilemma - delivering performance, scalability, and security without compromise.

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