Germany's largest media broadcaster wanted to modernize its legacy system for managing large media files and broadcasting events. It faced challenges around limited scalability, high storage costs, downtime, and security issues. The company implemented a solution on Microsoft Azure that uses Azure services like Blob storage, SQL Database, Media Services and Active Directory. This provided a multi-tenant platform to manage over 4PB of media data annually with 99.95% uptime and reduced storage costs by 93%, while supporting over 1000 concurrent users and 800 annual events.

1. AzurePaaS Case Study
Media Broadcasting Implementation using Azure Media Services, Storage,
App Service, Cognitive Services & Active Directory

2. PROBLEM STATEMENT
Germany’s largest Media Broadcasting
corporation wanted to modernize its legacy
system for managing large discrete media
files of more than 4 PB/year; and to support
high-quality media broadcasting of over 800
TV, Radio & Live events per year.

3. core Challenges
• Limited architectural support to manage large discrete media files
of 4PB/year.
• Storage costs overhead of more than $7000/month, due to
on-premise SQL database approach.
• System breakdown while handling massive user load of more than
300 user requests/minute.
• Moderating media files of 10GB/day manually was time-
consuming & cumbersome.
• Absence of monitoring system to avoid major system
breakdowns and downtime.
• Converting 1000 media files/minute into standard formats was a
tedious task.
• No latest security functionalities & updates to prevent threats
from malicious data.

4. Technology Solution
Azure Cloud as PaaS
to build multi-tenant Big Data Management platform
Data management using Azure Blobs, Table Storage, Document DB,
& SQL database
Azure Health Monitor & Azure TrafficManager
to monitor the health of all Azure services
Azure Media Service
to transcode UGC data into different formats
Azure Active Directory & Microsoft Antimalware
for secured user identity & data access management
Azure Cognitive services
Face, Image, Emotion and Speech analysis of media files
Azure App services
for auto-scalability, auto-provisioning & high performance
• Limited architectural support to manage large discrete media files
of 4PB/year.
• Storage costs overhead of more than $7000/month, due to
on-premise SQL database approach.
• System breakdown while handling massive user load of more than
300 user requests/minute.
• Moderating media files of 10GB/day manually was time-
consuming & cumbersome.
• Absence of monitoring system to avoid major system
breakdowns and downtime.
• Converting 1000 media files/minute into standard formats was a
tedious task.
• No latest security functionalities & updates to prevent threats
from malicious data.

5. SOLUTION ARCHITECTURE

6. Multi-tenant Big Data Management solution was ready to
Go-Live within 3 months.
Solution uptime of 99.95% SLA with high-availability &
security capabilities.
Manages discrete media files of over 10 GB/day totalling to
more than 4 PB/year.
Reduced storage costs per month by 93%.
Handles massive load of over 1000 concurrent user
requests/minute.
Provides support to broadcast over 800 events/year.
BUSINESS BENEFITS

7. An ‘Intelligent Solutions company’ helping Enterprises leverage Azure platform
to enable intelligent actions and accelerated business outcomes.
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