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TOPIC DISCUSSION
How uCast is using AWS Media Services and the
Power of the Cloud to Deliver Global Live Events
uCAST GLOBAL & DIALOG
HIGH QUALITY
CUSTOMER EXPERIENCE
END-TO-END
OTT SOLUTION
ENHANCEMENTS
AND FEATURES
BROAD DEPLOYMENT
OF FEATURES
PROVEN
TRACK RECORD
AGENDA
• CURRENT STATE OF OTT LANDSCAPE & CHALLENGES
• OTT 1.0 vs 2.0
• FOCUSE AREAS FOR MARKET COMPETITIVENESS
• CUSTOMER CHALLENGES
• SOLUTIONS WITH AWS
• LIVE DEMO
• uCAST SPORTS CASE STUDY
COMPLICATED DYNAMICS OF VIDEO TECHNOLOGY
LANDSCAPE CONTINUES TO GROW
IABD DC GLOBAL MARKET VALUATION REPORT
WHAT IS IMPORTANT TO TECHNOLOGY BUYERS & USERS
WHAT IS IMPORTANT TO TECHNOLOGY BUYERS & USERS
REMOTE PRODUCTION IS A BUSINESS MODEL TRANSITION
WHAT IS IMPORTANT TO TECHNOLOGY BUYERS & USERS
WHAT is OTT 1.0
The use of platforms for digital video has primarily been a largescale systems integration effort with a few core pieces
coupled with a significant number of add-ons that are single instance per region and brand:
CHALLENGES WITH OTT 1.0
1. Application development is difficult – multiple 3rd party vendors, workflows, different upgrade
release cycles, etc.
2. Not multi-brand or multi geo. Aren’t capable of supporting Global Video Initiatives.
3. Require more development then configuration to deploy. Features aren’t inherent to the solution.
4. Do not easily support personalization and advanced user experience features without considerable
development.
5. Solutions do not meet the standards of enterprise software.
6. Little or no advanced AD-Tech support, specifically SSAI.
7. Subscriber management typically outsourced.
8. Signal capture, channel playout & user-friendly video features are limited.
WHAT is OTT 2.0
The next generation video stack is going to enable an agile video business
through new capabilities:
1. Movement to an approach similar to enterprise software
2. Core Platform adopted across the enterprise
3. Simplifies toolsets to enable user experience
4. Multi-Brand & Multi-GEO with TV-Live Channel Playout to future proof
business models
5. Initial investment with smaller costs to enable scale across multiple
brands
6. Support for core AD-Tech industry’s and partners – SSAI, DFP, DCM,
Spotx, Innovid, and more 3rd party agencies
7. Ability to own core components and stack over time – modularity with
business model licensing innovation
8. Extensible across today’s and future business models
OPERATIONS INDUSTRIALIZATION
Managed Services & SLA for DevOps
1. Standard SLA definitions for response, recovery, and resolution times.
2. Integration to client support system for ticketing.
3. Sufficient operational resources to enable SLA’s without “key man risk”.
4. Incident management capability for bringing together all service vendors.
FOCUS AREAS FOR MARKET COMPETITIVENESS
Solve the complexity of the video workflow
• Make a platform lighter with a smaller footprint.
• Perform “infrastructure as code”, integrate more AWS services to achieve (light), remove all custom
components
• Run on 100% “auto scaling” cloud infrastructure
• Adopt best practice data taxonomy structure for reusable catalogs and skinny bundles
• Make most system screens self service so non-technical business units can use
• Advance AD-Tech
• Analytics – Actionable Data Transformation
• Channel Playout, DVR-in-the-Cloud, EPG support
• Scale virtualization from on-prem to cloud encoding and payout
Customer
Challenges
• Build a cost effective workflow to live stream events with broadcast grade quality
• Cloud enhanced video ingest
• Live Linear capture & playout (cost)
• Multi-Tenant vs Cross-Tenant vs Single-Stack
• Reliable live event scheduler
• Create 24/7 stitched Live Channels
• Personalize ADS
• Global Distribution
• Complex Data taxonomy
• Rights Management
• GEO & Blackout
• SCTE-35 in the Cloud
• DRM
CURRENT OTT 2.0 SPORTS & MUSIC CHALLENGES
VIRTUALIZATION OF PLAYOUT
MEDIA COMPAY
Stack
On-Prem Services
Live Content
Acquisition
Content
Processing
Channel
Playout
Distribution
CMS
Users and devices
Metadata
Curation and Promotion
Rights and entitlement
Images
CRM
Monetization
Tags
Reporting
API
ConnectedApplications
Schedules (EPG)
Content Rules
GEO & Brand
CLOUD LAYER
CLOUD ENHANCED INGEST SERVICE
The service makes it easy to configure new data feeds as well
as create recurring mapped to the appropriate data model.
A standalone service
• A UI in (in Admin) that connects to the service
• User chooses to create a new import flow
• User provides either URL or API credentials (to supported
OVPs)
• The data is parsed and the user is presented with a
mapping screen that determines external metadata fields
and video formats to be mapped to product data model
• User can run a test import to see the results and can save
the ETL (Extract->Transform-Load) scenario
• The ETL + mapping is saved in DB with ability to make it
recurring if protocol permits.
Ingest Service
Cable Labs 3
Movie Labs
XMLTV
MRSS
OVP APIs
Other
ETL
REMA
P
Metadata
Media
DYNAMIC DATA MODEL
Dynamic data model enabling content providers to position
their materials in accordance to the service & end-users’
needs.
Classification Group
Linear Channels
1st Level
Classification
Linear Channel
Type
Linear
2nd Level
Classification
Program Guide (EPG)
Type
EPG Metadata
Custom Branding
Parent Tag
Genre
Child Tag
Drama
Dynamic
Metadata
Name
Runtime
Personalized Content
Rows
Recent / Catch Up
Recommended /
Videos
Classification Group
General
1st Level
Classification
Channel Logo
Classification Group
Single Video
1st Level
Classification
Video
Type
Video
Any piece of content is to fit the
standardized data model upon
importing / creating the respective
asset in the CMS.
Well structured & positioned data ensure
the optimization & unification of the
deployed service.
Type
Image
Type
Video
Content pieces are
accurately distributed
depending on their nature
– whether those are a main
asset or a supplementary
object.
Each asset can support rich
metadata depending on
the service needs – from
main contextual
information to 3rd party
data captured from
external source(s).
Integration with
external data
sources
Data available in a
web browser
Classification
Athlete
Type
Metadata
Dynamic Real-Time
Schedule
Live Events
Classification
Cast
Type
Metadata
Classification Group
Series
1st Level
Classification
Show
Type
Video
2nd Level
Classification
Season
Type
Video
3rd Level
Classification
Episode
Type
Video
Related Content Row
Content Pieces with
relevant tags
Classification
Team
Type
Metadata
DIFFERENT CONTENT = MANY NEEDS
CUSTOMERS
SOLUTIONS
SPORTS PARTNER – UNIQUE FEATURES
[2] Subscription VOD (SVOD)
$4.99 a month, with a 7-
day free trial
[1] Advertising (AVOD)
Server Side Stitching
- Negates Ad blockers
- Programmatic Ads
Pre-Rolls, Mid-Rolls, Post
Rolls;
160 Schools
7 Conferences
3 TV Networks
Multi-Platform
Flexible &
Complex
Content
Availability
Matrix
Subscription
Packages
Geography:
States
Service 1 Service 2 Service 3
67,000 pieces of content
& metadata
5 months of
synchronization
No Interruption
of Service
Unified Service
Monetization:
Rights & Entitlement Management Migration Business Sustainability &
Monetization Opportunities
Feed Distribution
LIVE EVENTS SCHEDULE & WORKFLOW
CORE in
us-east-1
us-west-2
Elemental Deployment
us-east-1
Elemental Deployment
us-west-2
Teradek
Cube
Teradek
Cube
EAST
WEST
LIVE EVENTS SCHEDULE & WORKFLOW
CORE
Management
and Monitoring
INDUSTRY
PROTOCOL
Over Internet
SOURCE/TERADEK
AWS
Sputnik Region 1
AWS
Sputnik Region 2
AWS
Sputnik Region 3
AWS
Sputnik Region 4
AWS
Elemental LIVE
Deployment 1
AWS
Elemental LIVE
Deployment 2
AWS
Elemental LIVE
Deployment 3
REST API
UDP
UDP
UDP
HTTP PUSH
HTTP PUSH
HTTP PUSH
AKAMAI CDN
AD
DAI ENGINE
RETURN
AD
RETURN
AD
AD SERVER
Ad Segments pointing
to Ad Server
Content
Segments pointing
to CDN
Push final manifest through
CDN again to be served for end
user consumption
PULL ORIGIN
MANIFEST
Content
Segment
Content
Segment
Ad
Segment
FINAL MANIFEST
EVENT MGMT AD SCTE-35 AD INSERTION
SCTE-in-the-CLOUD & DYNAMIC SSAI
LIVE LINEAR CLIPPING & CLOUD DVR
Amazon
DynamoDB
CLIP
VIDE
O
TIME SHIFTED –
RECEIVER POINTS
HLS (VOD & Live
Linear)
Amazon S3
STORAGE
Amazon
CloudFront
CDN
Amazon
Elastic Transcoder
TRANSCODE
Amazon
Glacier
STORAGE
Amazon S3
CHANNEL PLAYOUT
LIVE DEMO
&
ARCHITECTURE
• Utilize AWS cloud technologies like CloudFormation and VPCs to quickly launch brand new stacks
• Easily deploy a stack in any AWS VPC location, availability zone or data center with different configurations
• Automatic Scalability, Load balancing, Monitoring and update of stacks in AWS
• Metadata definitions, translations and other customizations via web based GUIs
• Individual services scales independently of others depending on load.
• From several instances to several thousand instances per service with HA and failover, automated
• Utilizes multiple AWS services for lower footprint
Service Module
Small Load
HA
Service Module
Moderate Load
HA
Service Module
High Load
HA
SCALABILITY / STACK & PLATFORM
uCast Stack with AWS
Amazon API
Gateway
EC2 Elastic Load
Balancing
AWS VPC
ELB
RDS
instances
Auto Scaling
S3
instances
Redis
AWS
Lambda
Lambda
function
Amazon
Route 53
Elasticsearch
Postgres
Aurora
ELB
edge location
Amazon
CloudFront
Amazon
SQS
Amazon
SNS
VPC
Client Apps
AWS SERVICES USED
API MICRO AND MACRO SERVICES
• Content API (PHP)
• User API (PHP)
• Media API (PHP)
• Billing API (PHP)
• Video Broker (Scala)
• Image Service (PHP)
• Events Service (analytics) (Java)
• Time shift Video Service (Python)
• Live Video Cutting Service (JavaScript)
• Workers (php)
• UI Interfaces
• Admin Panel
• Media Admin Panel
• Live Manager
• Embeddable Players
• MRSS / XML Feeds / Content Syndication
API MICRO AND MACRO SERVICES ROLES
Content API (PHP)
• Manages and serves content hierarchy and metadata (objects)
• Image management
• Video Assets (metadata)
• Tags, Categories. Groups
• Helper Assets
• Content Filters
• Geo Filters
• Spotlights. Screen Curation.
User API (PHP)
• Manages User authentication, profiles and states
Media API (PHP)
• Manages encoding workflows
• Mezzanine files
• Encoded files and formats
• Origins and CDN destinations
Billing API (PHP)
• Manages subscriptions and billing
• Integrates with all subscription services (iTunes, GooglePlay)
• Credit card gateways
• Reporting
Video Broker (Scala)
• Checks entitlement and hands out playback urls
• Virtual channel playout stitching(vod to live )
Image Service (PHP)
• Resized and crops and caches images
Events Service (analytics) (Java)
• Collects application and player events for statistics
• Retention, funnels, QES
Time shift Video Service (Python)
• Records live channels and stores segments for later use as time shift
Live Video Cutting Service (JavaScript)
• Cuts pieces of content from recorded live channels or events
Workers (php, python, lambdas)
• Performs background tasks such as data enrichment, metadata
rebuilds, messaging, orchestration
Ingestion
• Helps automate metadata and content ingestions from different
sources
• Setup first time catalog import and data mapping
• Recurring templates for recurring updates.
USER INTERFACES
Admin Panel
• Asset and Metadata Management
• Live event scheduling
• User Data management and reporting
• Manage CRM campaigns
• System Settings
• Reports
• Manage content imports
Media Admin Panel
• Functionality to manage and monitor encoding
workflow and settings
Live Manager
• Controls live encoder nodes (Elemental)
• Performs SCTE insertion (Elemental)
• Starts and stops encoders , on air, off air
Embeddable Players
• Exposes video assets via a html5 HLS player, with
client side and server side advertising
MRSS / XML Feeds / Content Syndication
SPORTS
SPORTS PARTNER – UNIQUE FEATURES
[2] Subscription VOD (SVOD)
$4.99 a month, with a 7-
day free trial
[1] Advertising (AVOD)
Server Side Stitching
- Negates Ad blockers
- Programmatic Ads
Pre-Rolls, Mid-Rolls, Post
Rolls;
160 Schools
7 Conferences
3 TV Networks
Multi-Platform
Flexible &
Complex
Content
Availability
Matrix
Subscription
Packages
Geography:
States
Service 1 Service 2 Service 3
67,000 pieces of content
& metadata
5 months of
synchronization
No Interruption
of Service
Unified Service
Monetization:
Rights & Entitlement Management Migration Business Sustainability &
Monetization Opportunities
Feed Distribution
OPERATIONS & STABILITY REPORTCARD
• Rights & Entitlement Management
• Flexible & Complex Content Availability
Matrix
• Subscriber & User Management
• Automated Live Events workflow with Cloud
Fleet Teradek
• 240,000 minutes of Live Games Streamed
with 86 minutes of Service Degradation,
99.97% uptime.
• 100% uptime on VOD
• GEO granularity
SPORTS CONFIGURATIONS
• uCast Sports is a “Sports Optimized” Product & Platform
• The Platform has over 800 widget & feed customization tailored to meet
syndication business needs.
• There were 17,000 hours of Live Events optimizations.
• The front-end user experience went through numerous UX iterations to
accommodate a complex data taxonomy & model.
• SCTE-in-the-Cloud with DAI.
• Enhanced DVR, VOD and Content Asset Management.
ROADMAP FEATURES
• Building platform support for new Voice Search & Discovery, Amazon
ECHO voice & AppleTV & iOS.
• Big Data for Machine Learning & AI for data enrichment to analytics &
AD monetization.
• Scripting customer facing products

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How uCast is Using AWS for Global Live Events

  • 1. TOPIC DISCUSSION How uCast is using AWS Media Services and the Power of the Cloud to Deliver Global Live Events
  • 2. uCAST GLOBAL & DIALOG HIGH QUALITY CUSTOMER EXPERIENCE END-TO-END OTT SOLUTION ENHANCEMENTS AND FEATURES BROAD DEPLOYMENT OF FEATURES PROVEN TRACK RECORD
  • 3. AGENDA • CURRENT STATE OF OTT LANDSCAPE & CHALLENGES • OTT 1.0 vs 2.0 • FOCUSE AREAS FOR MARKET COMPETITIVENESS • CUSTOMER CHALLENGES • SOLUTIONS WITH AWS • LIVE DEMO • uCAST SPORTS CASE STUDY
  • 4. COMPLICATED DYNAMICS OF VIDEO TECHNOLOGY
  • 6. IABD DC GLOBAL MARKET VALUATION REPORT
  • 7. WHAT IS IMPORTANT TO TECHNOLOGY BUYERS & USERS
  • 8. WHAT IS IMPORTANT TO TECHNOLOGY BUYERS & USERS
  • 9. REMOTE PRODUCTION IS A BUSINESS MODEL TRANSITION
  • 10. WHAT IS IMPORTANT TO TECHNOLOGY BUYERS & USERS
  • 11. WHAT is OTT 1.0 The use of platforms for digital video has primarily been a largescale systems integration effort with a few core pieces coupled with a significant number of add-ons that are single instance per region and brand:
  • 12. CHALLENGES WITH OTT 1.0 1. Application development is difficult – multiple 3rd party vendors, workflows, different upgrade release cycles, etc. 2. Not multi-brand or multi geo. Aren’t capable of supporting Global Video Initiatives. 3. Require more development then configuration to deploy. Features aren’t inherent to the solution. 4. Do not easily support personalization and advanced user experience features without considerable development. 5. Solutions do not meet the standards of enterprise software. 6. Little or no advanced AD-Tech support, specifically SSAI. 7. Subscriber management typically outsourced. 8. Signal capture, channel playout & user-friendly video features are limited.
  • 13. WHAT is OTT 2.0 The next generation video stack is going to enable an agile video business through new capabilities: 1. Movement to an approach similar to enterprise software 2. Core Platform adopted across the enterprise 3. Simplifies toolsets to enable user experience 4. Multi-Brand & Multi-GEO with TV-Live Channel Playout to future proof business models 5. Initial investment with smaller costs to enable scale across multiple brands 6. Support for core AD-Tech industry’s and partners – SSAI, DFP, DCM, Spotx, Innovid, and more 3rd party agencies 7. Ability to own core components and stack over time – modularity with business model licensing innovation 8. Extensible across today’s and future business models
  • 14. OPERATIONS INDUSTRIALIZATION Managed Services & SLA for DevOps 1. Standard SLA definitions for response, recovery, and resolution times. 2. Integration to client support system for ticketing. 3. Sufficient operational resources to enable SLA’s without “key man risk”. 4. Incident management capability for bringing together all service vendors.
  • 15. FOCUS AREAS FOR MARKET COMPETITIVENESS Solve the complexity of the video workflow • Make a platform lighter with a smaller footprint. • Perform “infrastructure as code”, integrate more AWS services to achieve (light), remove all custom components • Run on 100% “auto scaling” cloud infrastructure • Adopt best practice data taxonomy structure for reusable catalogs and skinny bundles • Make most system screens self service so non-technical business units can use • Advance AD-Tech • Analytics – Actionable Data Transformation • Channel Playout, DVR-in-the-Cloud, EPG support • Scale virtualization from on-prem to cloud encoding and payout
  • 17. • Build a cost effective workflow to live stream events with broadcast grade quality • Cloud enhanced video ingest • Live Linear capture & playout (cost) • Multi-Tenant vs Cross-Tenant vs Single-Stack • Reliable live event scheduler • Create 24/7 stitched Live Channels • Personalize ADS • Global Distribution • Complex Data taxonomy • Rights Management • GEO & Blackout • SCTE-35 in the Cloud • DRM CURRENT OTT 2.0 SPORTS & MUSIC CHALLENGES
  • 18. VIRTUALIZATION OF PLAYOUT MEDIA COMPAY Stack On-Prem Services Live Content Acquisition Content Processing Channel Playout Distribution CMS Users and devices Metadata Curation and Promotion Rights and entitlement Images CRM Monetization Tags Reporting API ConnectedApplications Schedules (EPG) Content Rules GEO & Brand CLOUD LAYER
  • 19. CLOUD ENHANCED INGEST SERVICE The service makes it easy to configure new data feeds as well as create recurring mapped to the appropriate data model. A standalone service • A UI in (in Admin) that connects to the service • User chooses to create a new import flow • User provides either URL or API credentials (to supported OVPs) • The data is parsed and the user is presented with a mapping screen that determines external metadata fields and video formats to be mapped to product data model • User can run a test import to see the results and can save the ETL (Extract->Transform-Load) scenario • The ETL + mapping is saved in DB with ability to make it recurring if protocol permits. Ingest Service Cable Labs 3 Movie Labs XMLTV MRSS OVP APIs Other ETL REMA P Metadata Media
  • 20. DYNAMIC DATA MODEL Dynamic data model enabling content providers to position their materials in accordance to the service & end-users’ needs. Classification Group Linear Channels 1st Level Classification Linear Channel Type Linear 2nd Level Classification Program Guide (EPG) Type EPG Metadata Custom Branding Parent Tag Genre Child Tag Drama Dynamic Metadata Name Runtime Personalized Content Rows Recent / Catch Up Recommended / Videos Classification Group General 1st Level Classification Channel Logo Classification Group Single Video 1st Level Classification Video Type Video Any piece of content is to fit the standardized data model upon importing / creating the respective asset in the CMS. Well structured & positioned data ensure the optimization & unification of the deployed service. Type Image Type Video
  • 21. Content pieces are accurately distributed depending on their nature – whether those are a main asset or a supplementary object. Each asset can support rich metadata depending on the service needs – from main contextual information to 3rd party data captured from external source(s). Integration with external data sources Data available in a web browser Classification Athlete Type Metadata Dynamic Real-Time Schedule Live Events Classification Cast Type Metadata Classification Group Series 1st Level Classification Show Type Video 2nd Level Classification Season Type Video 3rd Level Classification Episode Type Video Related Content Row Content Pieces with relevant tags Classification Team Type Metadata DIFFERENT CONTENT = MANY NEEDS
  • 23. SPORTS PARTNER – UNIQUE FEATURES [2] Subscription VOD (SVOD) $4.99 a month, with a 7- day free trial [1] Advertising (AVOD) Server Side Stitching - Negates Ad blockers - Programmatic Ads Pre-Rolls, Mid-Rolls, Post Rolls; 160 Schools 7 Conferences 3 TV Networks Multi-Platform Flexible & Complex Content Availability Matrix Subscription Packages Geography: States Service 1 Service 2 Service 3 67,000 pieces of content & metadata 5 months of synchronization No Interruption of Service Unified Service Monetization: Rights & Entitlement Management Migration Business Sustainability & Monetization Opportunities Feed Distribution
  • 24. LIVE EVENTS SCHEDULE & WORKFLOW CORE in us-east-1 us-west-2 Elemental Deployment us-east-1 Elemental Deployment us-west-2 Teradek Cube Teradek Cube EAST WEST
  • 25. LIVE EVENTS SCHEDULE & WORKFLOW CORE Management and Monitoring INDUSTRY PROTOCOL Over Internet SOURCE/TERADEK AWS Sputnik Region 1 AWS Sputnik Region 2 AWS Sputnik Region 3 AWS Sputnik Region 4 AWS Elemental LIVE Deployment 1 AWS Elemental LIVE Deployment 2 AWS Elemental LIVE Deployment 3 REST API UDP UDP UDP HTTP PUSH HTTP PUSH HTTP PUSH AKAMAI CDN AD DAI ENGINE RETURN AD RETURN AD AD SERVER Ad Segments pointing to Ad Server Content Segments pointing to CDN Push final manifest through CDN again to be served for end user consumption PULL ORIGIN MANIFEST Content Segment Content Segment Ad Segment FINAL MANIFEST EVENT MGMT AD SCTE-35 AD INSERTION
  • 27. LIVE LINEAR CLIPPING & CLOUD DVR Amazon DynamoDB CLIP VIDE O TIME SHIFTED – RECEIVER POINTS HLS (VOD & Live Linear) Amazon S3 STORAGE Amazon CloudFront CDN Amazon Elastic Transcoder TRANSCODE Amazon Glacier STORAGE Amazon S3
  • 30. • Utilize AWS cloud technologies like CloudFormation and VPCs to quickly launch brand new stacks • Easily deploy a stack in any AWS VPC location, availability zone or data center with different configurations • Automatic Scalability, Load balancing, Monitoring and update of stacks in AWS • Metadata definitions, translations and other customizations via web based GUIs • Individual services scales independently of others depending on load. • From several instances to several thousand instances per service with HA and failover, automated • Utilizes multiple AWS services for lower footprint Service Module Small Load HA Service Module Moderate Load HA Service Module High Load HA SCALABILITY / STACK & PLATFORM
  • 31. uCast Stack with AWS Amazon API Gateway EC2 Elastic Load Balancing AWS VPC ELB RDS instances Auto Scaling S3 instances Redis AWS Lambda Lambda function Amazon Route 53 Elasticsearch Postgres Aurora ELB edge location Amazon CloudFront Amazon SQS Amazon SNS VPC Client Apps
  • 33. API MICRO AND MACRO SERVICES • Content API (PHP) • User API (PHP) • Media API (PHP) • Billing API (PHP) • Video Broker (Scala) • Image Service (PHP) • Events Service (analytics) (Java) • Time shift Video Service (Python) • Live Video Cutting Service (JavaScript) • Workers (php) • UI Interfaces • Admin Panel • Media Admin Panel • Live Manager • Embeddable Players • MRSS / XML Feeds / Content Syndication
  • 34. API MICRO AND MACRO SERVICES ROLES Content API (PHP) • Manages and serves content hierarchy and metadata (objects) • Image management • Video Assets (metadata) • Tags, Categories. Groups • Helper Assets • Content Filters • Geo Filters • Spotlights. Screen Curation. User API (PHP) • Manages User authentication, profiles and states Media API (PHP) • Manages encoding workflows • Mezzanine files • Encoded files and formats • Origins and CDN destinations Billing API (PHP) • Manages subscriptions and billing • Integrates with all subscription services (iTunes, GooglePlay) • Credit card gateways • Reporting Video Broker (Scala) • Checks entitlement and hands out playback urls • Virtual channel playout stitching(vod to live ) Image Service (PHP) • Resized and crops and caches images Events Service (analytics) (Java) • Collects application and player events for statistics • Retention, funnels, QES Time shift Video Service (Python) • Records live channels and stores segments for later use as time shift Live Video Cutting Service (JavaScript) • Cuts pieces of content from recorded live channels or events Workers (php, python, lambdas) • Performs background tasks such as data enrichment, metadata rebuilds, messaging, orchestration Ingestion • Helps automate metadata and content ingestions from different sources • Setup first time catalog import and data mapping • Recurring templates for recurring updates.
  • 35. USER INTERFACES Admin Panel • Asset and Metadata Management • Live event scheduling • User Data management and reporting • Manage CRM campaigns • System Settings • Reports • Manage content imports Media Admin Panel • Functionality to manage and monitor encoding workflow and settings Live Manager • Controls live encoder nodes (Elemental) • Performs SCTE insertion (Elemental) • Starts and stops encoders , on air, off air Embeddable Players • Exposes video assets via a html5 HLS player, with client side and server side advertising MRSS / XML Feeds / Content Syndication
  • 37. SPORTS PARTNER – UNIQUE FEATURES [2] Subscription VOD (SVOD) $4.99 a month, with a 7- day free trial [1] Advertising (AVOD) Server Side Stitching - Negates Ad blockers - Programmatic Ads Pre-Rolls, Mid-Rolls, Post Rolls; 160 Schools 7 Conferences 3 TV Networks Multi-Platform Flexible & Complex Content Availability Matrix Subscription Packages Geography: States Service 1 Service 2 Service 3 67,000 pieces of content & metadata 5 months of synchronization No Interruption of Service Unified Service Monetization: Rights & Entitlement Management Migration Business Sustainability & Monetization Opportunities Feed Distribution
  • 38. OPERATIONS & STABILITY REPORTCARD • Rights & Entitlement Management • Flexible & Complex Content Availability Matrix • Subscriber & User Management • Automated Live Events workflow with Cloud Fleet Teradek • 240,000 minutes of Live Games Streamed with 86 minutes of Service Degradation, 99.97% uptime. • 100% uptime on VOD • GEO granularity
  • 39. SPORTS CONFIGURATIONS • uCast Sports is a “Sports Optimized” Product & Platform • The Platform has over 800 widget & feed customization tailored to meet syndication business needs. • There were 17,000 hours of Live Events optimizations. • The front-end user experience went through numerous UX iterations to accommodate a complex data taxonomy & model. • SCTE-in-the-Cloud with DAI. • Enhanced DVR, VOD and Content Asset Management.
  • 40. ROADMAP FEATURES • Building platform support for new Voice Search & Discovery, Amazon ECHO voice & AppleTV & iOS. • Big Data for Machine Learning & AI for data enrichment to analytics & AD monetization. • Scripting customer facing products