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:
| Metric | Before | After / Improvement |
| Request Fulfillment Time | 48+ hours | 90 minutes (97% reduction) |
| Engineering Resources | 4+ engineers per request | 0 (Fully self-service) |
| Encoder Dependency | Required for most tests | Eliminated via Amazon Kinesis |
| Content Visibility | No centralized catalog | Curated 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.
