Modernizing Media Supply Chains with an AI-Orchestrated Streaming Test Platform

In the high-stakes world of global broadcasting, speed and reliability are paramount. A leading global Media & Entertainment enterprise, operating large-scale streaming platforms for millions of subscribers, faced significant bottlenecks in their quality assurance workflows. By partnering with Wizeline to build a self-service streaming test platform on AWS, the enterprise transformed a 48-hour manual process into a 90-minute automated reality—a 97% reduction in fulfillment time.


The Challenge: Fragmented Workflows and Resource Strain

Media organizations that rely on manual, fragmented processes to seed and schedule test content for live events, linear channels, and video-on-demand (VOD). These workflows created heavy dependencies across multiple teams, leading to several critical challenges:

  • Operational Delays: It took over 48 hours to fulfill a single test content request.
  • Resource Heavy: Each request required four or more media engineers, creating significant strain during high-volume periods like live sports.
  • Infrastructure Costs: Most scenarios required expensive physical live encoders, even when alternatives were possible.
  • Lack of Visibility: Without a centralized catalog, teams faced duplicated efforts and inconsistent QA practices.

The Solution: A Self-Service Platform Powered by AWS

Wizeline designs and builds full-stack  internal web application to automate the scheduling and management of test content. This solution eliminated manual dependencies by providing a self-service interface for authorized team members to trigger tests without requiring engineering intervention.

Technical Implementation on AWS

To ensure the platform was robust enough for enterprise-scale media ecosystems, Wizeline utilized a suite of AWS services:

  • Amazon Kinesis (Streaming Backbone): Powers encoder-less live and linear test streams. This allows for the simulation of live broadcast scenarios without the cost and resource overhead of physical encoder infrastructure.
  • Amazon RDS (PostgreSQL): Serves as the central relational data store for content entities, metadata taxonomies, and scheduling records. RDS was chosen to support the complex relational queries required by the content catalog.
  • Spinnaker on AWS (CI/CD): Manages independent deployment pipelines for the React frontend and Node.js backend, enabling rapid, controlled releases across QA and staging environments.
  • Workflow Orchestration: The platform connects directly to the customer’s Media Asset Management (MAM) system via webhooks, automating every step from request to status reporting.

“The AWS-orchestrated application was selected as optimal for centralizing workflows, removing encoder dependency, and delivering cost-effective scalability for internal media operations.”

The Results: 97% Faster Fulfillment and Zero Engineer Dependency

Wizeline’s streaming test platform delivers transformational improvements to media supply chain operations:

MetricBeforeAfter / Improvement
Request Fulfillment Time48+ hours90 minutes (97% reduction)
Engineering Resources4+ engineers per request0 (Fully self-service)
Encoder DependencyRequired for most testsEliminated via Amazon Kinesis
Content VisibilityNo centralized catalogCurated catalog with governance 

By removing the dependency on live encoders and automating high-volume manual tasks, the customer has unlocked concurrent testing capabilities and significantly reduced operational costs, ensuring higher quality for millions of streaming subscribers.


About Wizeline

Wizeline is a global technology services provider that partners with enterprises to design, build, and scale high-impact digital products. As an AWS Advanced Tier Services Partner, Wizeline blends deep domain knowledge in Media & Entertainment with Generative AI engineering to modernize complex workflows and accelerate digital transformation. 

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