AWS CUSTOMER CASES
Validated outcomes,
documented for AWS Partner Central
Anonymized case studies detailing the AWS services used, the challenge solved, and the measurable results delivered — structured for AWS Partner Solution Finder (PSF) publication.
All Customer Cases
Customer names remain private per AWS Partner Central anonymous case study guidelines — general descriptions are used throughout.
ANONYMOUS PUBLIC CASE STUDY
Global Media Enterprise Reduces Streaming Test Content Fulfillment from 48 Hours to 90 Minutes with AWS
A leading global Media & Entertainment enterprise eliminated manual, multi-team test content workflows by deploying a self-service streaming test platform on AWS.
- Media Supply Chain
- Amazon Kinesis
- Amazon RDS
FASTER FULFILLMENT
ENGINEERS NEEDED
VIEW FULL CASE STUDY
Generative AI · Amazon Bedrock
Elevating Global Newsrooms with an AI-Powered Editorial Agent
An AI-powered Copy Editor Agent built on Amazon Bedrock automates grammar, style enforcement, and metadata tagging within the existing CMS.
- Amazon Bedrock
- Editorial AI
FASTER EDITORIAL PROCESSING
READ ON WIZE STORIES
FEATURED CASE STUDY
Full Case Study
ANONYMOUS PUBLIC CASE STUDY
Global Media Enterprise Reduces Streaming Test Content Fulfillment from 48 Hours to 90 Minutes with AWS
Customer
Leading global M&E enterprise
Target Specialization
Media Supply Chain
Project Status
In Production
AWS Partner
Wizeline (Advanced Tier)
About the Customer
The customer is a leading global Media & Entertainment enterprise that operates large-scale streaming and broadcast platforms delivering live events, linear channels, and video-on-demand (VOD) content to millions of subscribers worldwide.
As a large-scale enterprise, the customer maintains extensive internal media and metadata ecosystems that underpin the full content supply chain — from ingest and scheduling through to packaging and distribution.
Customer Challenge
The customer relied on long-standing manual, fragmented processes for seeding and scheduling test content for QA and validation of live events, linear channels, and VOD content — creating heavy cross-team dependencies spanning QA, Content Programming, Operations, Engineering, and Product teams.
—
48+ hours to fulfill a single test content request
—
4+ media engineers required per request, straining resources during high-volume events like live sports
—
Most test scenarios required expensive live encoders, even when encoder-free alternatives could suffice
—
No centralized test asset catalog, leading to duplicated effort and inconsistent QA practices
Partner Solution
Wizeline designed and built a self-service streaming test platform — a full-stack internal web application that automates the scheduling and management of test content across Linear, Live Events, and VOD. Any authorized team member can schedule test content, register assets, and trigger ad-hoc tests without requiring media engineering resources.
The platform is architected as a React frontend served via an NGINX load balancer, paired with a NestJS/Node.js backend. It integrates directly with the customer's media asset management (MAM) system via webhooks, and connects to the broader media metadata ecosystem for ingest event handling.
AWS Service
How It Was Used
AWS Service
Amazon Kinesis
How It Was Used
Powers encoder-less live and linear test streams, simulating live broadcast scenarios without physical encoder infrastructure.
AWS Service
Amazon RDS (PostgreSQL)
How It Was Used
Central relational data store for content entities, metadata taxonomies, and scheduling records — chosen over DynamoDB for complex relational queries.
AWS Service
Spinnaker (CI/CD)
How It Was Used
Manages independent deployment pipelines for the React frontend and Node.js backend across QA and staging environments.
Results & Benefits
Test content request fulfillment time dropped from over 48 hours to 90 minutes — a 97% reduction — while resources required per request fell from four-plus media engineers to zero, achieved through full self-service automation.
Metric
Before
After / Improvement
Metric
Request Fulfillment Time
Before
48+ hours
After / Improvement
90 minutes (–97%)
Metric
Engineering Resources Required
Before
4+ per request
After / Improvement
0 — fully self-service
Metric
Live Encoder Dependency
Before
Required for most tests
After / Improvement
Eliminated via Amazon Kinesis
Metric
Test Content Visibility
Before
No centralized catalog
After / Improvement
Curated catalog with governance
About Wizeline
Wizeline is a global technology services company that helps enterprises design, build, and scale software products and data platforms. Wizeline holds the AWS Media & Entertainment Competency and is an AWS Advanced Tier Services Partner, reflecting AWS-audited expertise in delivering production-grade solutions on AWS for enterprise customers worldwide.
