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© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Michael Koetter | VP Digital Media System Turner
Usman Shakeel | WW Tech Lead (M&E) Amazon Web Services
11/28/2016
MAE302
Turner’s Cloud Native Content Supply Chain
for TNT, TBS, Adult Swim, Cartoon Network, CNN
Playout & Distribution
Visual Effects & Editing Analytics
DAM & Archive
Digital Supply Chain
Publishing
OTT
Acquisition
AWS Media Segments
Key Evolutions in our Industry
The Newcomers (Netflix, Amazon) effect
Direct B2C (OTT, Digital)
Know thy consumer and create the content they dig
Cost Crunch on production/post-production
Content has gravity and getting heavier Annual Expenditure on Programming ($B)
“Millennials spend nearly 50% of their time watching movies
and TV shows on devices other than a TV, primarily
laptops/desktops, followed by smartphones and tablets”
Source: Deloitte Digital Democracy Survey 2016
Millions Netflix Subscribers
The New Normal
Media – ALL IN – to the Cloud
Where do I begin?
Media – ALL IN – to the Cloud
De-Coupling
Micro-services
Buzzword?
Specific scope
Interoperable services
Allow rapid innovation
An inside-out view
Playout & Distribution
Production/Post Production B2B/Cinematic Delivery
DAM & Archive
Digital Supply Chain
Publishing
OTT
Content Acquisition
Ingestion
Manual QC
Auto-QC
Metadata Extraction
Transcoding
Delivery
Packaging
Clips/Edits
Complex workflow/State management
Bursty sub-workflow tasks (transcoding/auto-QC, Packaging)
Elastic Licensing
Content movement between workflow tasks (a common repository)
Different delivery formats for each affiliate and downstream
Manual tasks – (content movement or interactivity)
CMS/DAM
Normalization
Normalization
All-In Cloud-Enabled Domino Effect
Playout & Distribution
Live TV
Production/Post
Production
Editorial
Dailies
Post
Social Media
Marketing/Promo
B2B/Cinematic Delivery
DPP, IMF, NABA
DAM & Archive
Active Archive
Golden Copy
Preservation
Digital Supply Chain
Publishing
OTT
Live-To-VOD
AVOD, SVOD, TVOD
Catchup TV
Cloud PVR
Content Acquisition
Live
File
Ingestion
Manual QC
Auto-QC
Metadata Extraction
Transcoding
Delivery
Packaging
Clips/Edits
CMS/DAM
ETC DI Workflow for Major Studios
An Industry View of Media Supply Chain
 Complex workflow
 State management
 Bursty workflow
tasks (transcoding/auto-
QC, Packaging)
 Elastic Licensing
 Content movement
 Delivery formats for
each affiliate and
downstream
 Manual tasks
(content movement or
interactivity)
Media Supply Chain (simplified)
Quality Check Create, edit, &
collaborate in the cloud
Distribute content to
playout/OTT solution
Import mastered
content, along with
metadata into S3
Macro Level Ideas/Highlights
• Amazon EC2 New Instances
• Cloud Storage
• Amazon S3, Amazon Glacier (new retrieval tiers)
• Amazon EFS
• Amazon EBS new Volume types and performance
• NLE in the Cloud (Remote Application Streaming)
• Graphics Amazon WorkSpaces
• Microservices/Serverless
• AWS Lambda
• Amazon API Gateway
Media Supply Chain at Turner
Michael Koetter
VP Digital Media Systems @ Turner
Stuff for which I’m responsible:
• Content Creation Systems
• Content Supply Chain Systems
• Technology Infrastructure
Roll Video…
OVERALL
OBJECTIVE.
We are leading the media industry’s transformation
through our approach to technology, data science and
innovation.
14
SUPPLY CHAIN MISSION
Connecting CONTENT
PRODUCERS with content
monetization PLATFORMS to
drive Turner’s business
across all brands, networks
and products.
ETC DI Workflow for Major Studios
An Industry View
D2CESTSVOD
`
`
CONNECTED
DEVICES
PAYTVBROADBAND
Linear Network
Origination
Downstream
Processing
Content
Suppliers
SchedulingRightsTitles Ordering
Turner Business Systems
Cloud Media Processing
Turner’s Content Supply Chain
Content Receiving
26,000 Items Processed (Jan – Nov 2016)
Direct to Consumer
~ 1400 movie initial load
SVOD Initial Load
(deal dependent)
Promo Production
~ 1000 items per program per agency
Flexibility Analytics Elasticity
SUPPLY CHAIN REQUIREMENTS
Emerging challenges are putting pressure
on our traditional processing model.
Flexible Process Engine
Media Micro-Services
Supply Chain Components
Upload Auto QC
Input
Processing
Master Version
Output
Processing
Deliver
Cloud Library
Work Order Management (Process Engine)
Content tracking and
flow control.
Integration API for
ODT & Playout
Automation.
Final content
delivery to
distribution systems
Output sequence
conforming, trigger
insertion and
transcode.
Creation of golden library
master, preservation in
library and creation of
versions for specific
platform needs
Normalization of
incoming
distribution masters
Automated quality
check of incoming
distribution masters
Content submission
to CSC
Ingest of material into
library’s normalized
media data model
Selection of material
from master asset and
creation of new and
unique sequences.
25
Order Core
FlexibleProcessEngine
• Fully abstracted
• Instance-less
Order Types
• Rapid Development
• Simplified Environment
• Helper Classes
Order Types
26
Order Core
State
Machine
Resource
Allocation
Rules Engine
Order
Scaffold
Generator
HTML
Template
Document
DB
Form Data
UI Shared
Widgets
FlexibleProcessEngine
WHY USE AN
INSTANCE-LESS
DESIGN?
to implementSimple
Agile
Available
Scalable
Zero effort to administer
on demand
without ”clustering”
coding practices
Instance-less
FlexibleProcessEngine
FlexibleProcessEngine
FlexibleProcessEngine
AWS
S3
Rules Engine
incl.Lambda Cron
State Management
CSC Work Order Architecture
Version 1.3
Chris Hinton, 8th Nov 2016
SMTP
AWS
DynamoDB
Client / Chrome
Quark / Topbar
Work Orders App
List / Search / Filter
Work Order Item
CRUD &
Business Logic
JS Lambda
AWSAPIGateway
S3HTTPS
Conversations
forms &
utils JS
Other AWS
Document Management
document templates
Audit Log
KPI & Cost
Turner Quark &
Content Apps
Client JS
Turner
Network
Public
Internet
SNS
SDVI
External
Orchestrator
PSP
FlexibleProcessEngine
Media Micro-Services
Upload Auto QC
Input
Processing
Master Version
Output
Processing
Deliver
Cloud Library
Work Order Management
Dynamically created infrastructure
Usage based licensing
Media-aware analytics and
optimization
Fine grained media processing as a
micro-service
Media Micro-Services
Media Micro-Services
Content Receiving Workflow
Input files
in S3
S3 Multi-Part
Client
S3 Transfer
Acceleration
EC2 instances
S3 Notification
Trigger a Lambda Function to
update portal and job queue
File Transmission
complete
SDVI
Amazon SNS
Integration
Supplier 1
Supplier 3
S3 Life Cycle Policies for purging temp files
S3 as input/output to different tasks
Supplier 2
Order
fulfillment State
Web Portal
Upload Content
File to S3
Save Order
Amazon Dynamo DB
Order Portal
REST
Client API
Process Rules,
Update State
Turner’s Media Supply Chain in the AWS Cloud
AWS cloud – US East 1
Turner Campus - Atlanta
Workorders
Content
Amazon API
Gateway
AWS
Lambda
Turner VPC
SDVI VPC
Proxy
Amazon
Elasticsearch
AWS SNS
Content
Distributors
Turner
Employee
Legacy
Infrastructure
DynamoDB
Macro Implications
Cloud Content Security Strategy
(Considerations)
39
• Traditional on prem content security has been perimeter
based
• Perimeters can be breached
• Risk domains are very large
• Logging is not always robust
• Cloud security affordances enabled Turner’s Information
Security Office to take a favorable position for change
MacroImplications
Cloud Content Security Strategy
40
• Separate AWS account for Content storage with limited
employee access (and no compute)
• S3 buckets with Bucket Policies limiting Get and Puts
based on Amazon VPC Endpoints (Turner and SDVI)
• Time-limited tokens for SDVI & other vendors to access
pre-air & master quality content
• Bucket Access logging into AWS CloudTrail S3 Bucket
• On-Prem Low-Res Proxy Streaming system limits access
to Turner's network for better cost & performance.
MacroImplications
Change Control
Continuous Delivery
41
• Media industry is traditionally averse to change.
• ”Set it and forget it” is held as an ideal
• Changes occur infrequently & at the most low impact
times… yet they are in reality always changing.
• Systems have been architected around these principles
• If the business wants agility and flexibility, we need to
change our delivery model
MacroImplications
Change Control
Continuous Delivery
42
MacroImplications
Automated
Daily Release
Process
Faster delivery
of value to the
business
Release in
smaller
increments,
control risk
Reduced “Bit
Rot” &
Improved
Developer
Productivity
Change Control
Continuous Delivery
43
MacroImplications
On Prem
(UI)
Stateful Infrastructure
(EC2, S3, AWS IAM, Dynamo DB)
Stateless Infrastructure
(Lambda, API gateway)
What? How? When?
Challenges Overcome
ChallengesOvercome Javascript development and
realtime debugging
Out of Order Messages
Tagging Lambda for dynamic
rule-sets
15 second message read-filter
allows all arriving messages to
buffer.
Had to create an EC2 Instance to
proxy requests between lambda &
on-premises
Automated run-time selection
within code
• More Workflows
• Cloud Master Library
• Cloud Editing & Versioning
• Cloud Based Channel Origination
Playout & Distribution
Visual Effects & Editing Analytics
DAM & Archive
Digital Supply Chain
Publishing
OTT
Acquisition
What’sNext
WANT TO
WORK ON
THIS?
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Chris
Hinton
VP, Product Development
Turner BEST
Chris
Farris
Engineering Manager,
Turner BEST
Brigitte
Mabry
Mgr, Content Logistics
Turner NATO
Thanks to:
Questions?
Remember to complete
your evaluations!
Related Sessions
Industry Pre-Day: Monday 11/28
• MAE303 - Discovery Channel's Broadcast Workflows and Channel Origination on AWS
• MAE304 - High Performance Cinematic Production in the Cloud
• MAE301 - Accelerating the Transition to Broadcast and OTT Infrastructure in the Cloud
Regular Conference: Tuesday – Thursday 11/29 – 12/1
• ARC406 - Encoding Artifacts to Emmy Awards: Taking on Terabyte-Scale, 1-Gbps, 4K Video
Processing in the Cloud
• CMP312 - Powering the Next Generation of Virtual Reality with Verizon
• CTD305 - Media Delivery from the Cloud: Integrated AWS Solutions for Premium Over the
Top (OTT) Content
• STG302 - Deep Dive on Amazon Glacier

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AWS re:Invent 2016: Turner's cloud native media supply chain for TNT, TBS, Adult Swim, Cartoon Network, CNN (MAE302)

  • 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Michael Koetter | VP Digital Media System Turner Usman Shakeel | WW Tech Lead (M&E) Amazon Web Services 11/28/2016 MAE302 Turner’s Cloud Native Content Supply Chain for TNT, TBS, Adult Swim, Cartoon Network, CNN
  • 2. Playout & Distribution Visual Effects & Editing Analytics DAM & Archive Digital Supply Chain Publishing OTT Acquisition AWS Media Segments
  • 3. Key Evolutions in our Industry The Newcomers (Netflix, Amazon) effect Direct B2C (OTT, Digital) Know thy consumer and create the content they dig Cost Crunch on production/post-production Content has gravity and getting heavier Annual Expenditure on Programming ($B) “Millennials spend nearly 50% of their time watching movies and TV shows on devices other than a TV, primarily laptops/desktops, followed by smartphones and tablets” Source: Deloitte Digital Democracy Survey 2016 Millions Netflix Subscribers
  • 4. The New Normal Media – ALL IN – to the Cloud
  • 5. Where do I begin? Media – ALL IN – to the Cloud De-Coupling Micro-services Buzzword? Specific scope Interoperable services Allow rapid innovation
  • 6. An inside-out view Playout & Distribution Production/Post Production B2B/Cinematic Delivery DAM & Archive Digital Supply Chain Publishing OTT Content Acquisition Ingestion Manual QC Auto-QC Metadata Extraction Transcoding Delivery Packaging Clips/Edits Complex workflow/State management Bursty sub-workflow tasks (transcoding/auto-QC, Packaging) Elastic Licensing Content movement between workflow tasks (a common repository) Different delivery formats for each affiliate and downstream Manual tasks – (content movement or interactivity) CMS/DAM Normalization
  • 7. Normalization All-In Cloud-Enabled Domino Effect Playout & Distribution Live TV Production/Post Production Editorial Dailies Post Social Media Marketing/Promo B2B/Cinematic Delivery DPP, IMF, NABA DAM & Archive Active Archive Golden Copy Preservation Digital Supply Chain Publishing OTT Live-To-VOD AVOD, SVOD, TVOD Catchup TV Cloud PVR Content Acquisition Live File Ingestion Manual QC Auto-QC Metadata Extraction Transcoding Delivery Packaging Clips/Edits CMS/DAM
  • 8. ETC DI Workflow for Major Studios An Industry View of Media Supply Chain  Complex workflow  State management  Bursty workflow tasks (transcoding/auto- QC, Packaging)  Elastic Licensing  Content movement  Delivery formats for each affiliate and downstream  Manual tasks (content movement or interactivity)
  • 9. Media Supply Chain (simplified) Quality Check Create, edit, & collaborate in the cloud Distribute content to playout/OTT solution Import mastered content, along with metadata into S3
  • 10. Macro Level Ideas/Highlights • Amazon EC2 New Instances • Cloud Storage • Amazon S3, Amazon Glacier (new retrieval tiers) • Amazon EFS • Amazon EBS new Volume types and performance • NLE in the Cloud (Remote Application Streaming) • Graphics Amazon WorkSpaces • Microservices/Serverless • AWS Lambda • Amazon API Gateway
  • 11. Media Supply Chain at Turner
  • 12. Michael Koetter VP Digital Media Systems @ Turner Stuff for which I’m responsible: • Content Creation Systems • Content Supply Chain Systems • Technology Infrastructure
  • 14. OVERALL OBJECTIVE. We are leading the media industry’s transformation through our approach to technology, data science and innovation. 14
  • 15. SUPPLY CHAIN MISSION Connecting CONTENT PRODUCERS with content monetization PLATFORMS to drive Turner’s business across all brands, networks and products.
  • 16. ETC DI Workflow for Major Studios An Industry View
  • 18. Content Receiving 26,000 Items Processed (Jan – Nov 2016)
  • 19. Direct to Consumer ~ 1400 movie initial load
  • 21. Promo Production ~ 1000 items per program per agency
  • 22. Flexibility Analytics Elasticity SUPPLY CHAIN REQUIREMENTS Emerging challenges are putting pressure on our traditional processing model.
  • 24. Supply Chain Components Upload Auto QC Input Processing Master Version Output Processing Deliver Cloud Library Work Order Management (Process Engine) Content tracking and flow control. Integration API for ODT & Playout Automation. Final content delivery to distribution systems Output sequence conforming, trigger insertion and transcode. Creation of golden library master, preservation in library and creation of versions for specific platform needs Normalization of incoming distribution masters Automated quality check of incoming distribution masters Content submission to CSC Ingest of material into library’s normalized media data model Selection of material from master asset and creation of new and unique sequences.
  • 25. 25 Order Core FlexibleProcessEngine • Fully abstracted • Instance-less Order Types • Rapid Development • Simplified Environment • Helper Classes
  • 26. Order Types 26 Order Core State Machine Resource Allocation Rules Engine Order Scaffold Generator HTML Template Document DB Form Data UI Shared Widgets FlexibleProcessEngine
  • 28. to implementSimple Agile Available Scalable Zero effort to administer on demand without ”clustering” coding practices Instance-less
  • 32. AWS S3 Rules Engine incl.Lambda Cron State Management CSC Work Order Architecture Version 1.3 Chris Hinton, 8th Nov 2016 SMTP AWS DynamoDB Client / Chrome Quark / Topbar Work Orders App List / Search / Filter Work Order Item CRUD & Business Logic JS Lambda AWSAPIGateway S3HTTPS Conversations forms & utils JS Other AWS Document Management document templates Audit Log KPI & Cost Turner Quark & Content Apps Client JS Turner Network Public Internet SNS SDVI External Orchestrator PSP FlexibleProcessEngine
  • 33. Media Micro-Services Upload Auto QC Input Processing Master Version Output Processing Deliver Cloud Library Work Order Management
  • 34. Dynamically created infrastructure Usage based licensing Media-aware analytics and optimization Fine grained media processing as a micro-service Media Micro-Services
  • 36. Content Receiving Workflow Input files in S3 S3 Multi-Part Client S3 Transfer Acceleration EC2 instances S3 Notification Trigger a Lambda Function to update portal and job queue File Transmission complete SDVI Amazon SNS Integration Supplier 1 Supplier 3 S3 Life Cycle Policies for purging temp files S3 as input/output to different tasks Supplier 2 Order fulfillment State Web Portal Upload Content File to S3 Save Order Amazon Dynamo DB Order Portal REST Client API Process Rules, Update State
  • 37. Turner’s Media Supply Chain in the AWS Cloud AWS cloud – US East 1 Turner Campus - Atlanta Workorders Content Amazon API Gateway AWS Lambda Turner VPC SDVI VPC Proxy Amazon Elasticsearch AWS SNS Content Distributors Turner Employee Legacy Infrastructure DynamoDB
  • 39. Cloud Content Security Strategy (Considerations) 39 • Traditional on prem content security has been perimeter based • Perimeters can be breached • Risk domains are very large • Logging is not always robust • Cloud security affordances enabled Turner’s Information Security Office to take a favorable position for change MacroImplications
  • 40. Cloud Content Security Strategy 40 • Separate AWS account for Content storage with limited employee access (and no compute) • S3 buckets with Bucket Policies limiting Get and Puts based on Amazon VPC Endpoints (Turner and SDVI) • Time-limited tokens for SDVI & other vendors to access pre-air & master quality content • Bucket Access logging into AWS CloudTrail S3 Bucket • On-Prem Low-Res Proxy Streaming system limits access to Turner's network for better cost & performance. MacroImplications
  • 41. Change Control Continuous Delivery 41 • Media industry is traditionally averse to change. • ”Set it and forget it” is held as an ideal • Changes occur infrequently & at the most low impact times… yet they are in reality always changing. • Systems have been architected around these principles • If the business wants agility and flexibility, we need to change our delivery model MacroImplications
  • 42. Change Control Continuous Delivery 42 MacroImplications Automated Daily Release Process Faster delivery of value to the business Release in smaller increments, control risk Reduced “Bit Rot” & Improved Developer Productivity
  • 43. Change Control Continuous Delivery 43 MacroImplications On Prem (UI) Stateful Infrastructure (EC2, S3, AWS IAM, Dynamo DB) Stateless Infrastructure (Lambda, API gateway) What? How? When?
  • 45. ChallengesOvercome Javascript development and realtime debugging Out of Order Messages Tagging Lambda for dynamic rule-sets 15 second message read-filter allows all arriving messages to buffer. Had to create an EC2 Instance to proxy requests between lambda & on-premises Automated run-time selection within code
  • 46. • More Workflows • Cloud Master Library • Cloud Editing & Versioning • Cloud Based Channel Origination Playout & Distribution Visual Effects & Editing Analytics DAM & Archive Digital Supply Chain Publishing OTT Acquisition What’sNext
  • 48. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Chris Hinton VP, Product Development Turner BEST Chris Farris Engineering Manager, Turner BEST Brigitte Mabry Mgr, Content Logistics Turner NATO Thanks to: Questions?
  • 50. Related Sessions Industry Pre-Day: Monday 11/28 • MAE303 - Discovery Channel's Broadcast Workflows and Channel Origination on AWS • MAE304 - High Performance Cinematic Production in the Cloud • MAE301 - Accelerating the Transition to Broadcast and OTT Infrastructure in the Cloud Regular Conference: Tuesday – Thursday 11/29 – 12/1 • ARC406 - Encoding Artifacts to Emmy Awards: Taking on Terabyte-Scale, 1-Gbps, 4K Video Processing in the Cloud • CMP312 - Powering the Next Generation of Virtual Reality with Verizon • CTD305 - Media Delivery from the Cloud: Integrated AWS Solutions for Premium Over the Top (OTT) Content • STG302 - Deep Dive on Amazon Glacier