2016 AWS Media & Entertainment Cloud Symposium - New York, NY: May 18, 2016

© 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

May 10, 2016

AWS Media & Entertainment Symposium-New York

Welcome CONTENT PRODUCTION 9:15-9:45 am Digital Media Ingest and Storage Options on AWS 9:45-10:15 am AWS Cloud controls for securely storing your digital content and running media workloads 10:15-10:30 am Break 10:30-11:15 am How Wazee Digital and Amazon S3 Enable Bloomberg’s Customers with Global Access to

Business and Financial Content 11:15-12:00 pm Cost Effective Rendering in the Cloud with Spot Instances 12:00-1:00 pm Lunch CONTENT DISTRIBUTION AND MEDIA SUPPLY CHAIN 1:00-2:00 pm “All In”: Cloud Transformation of the Media Industry 2:00-2:45 pm Fox Networks’ End-to-end Video Supply Chain in the Cloud 2:45-3:30 pm L Leveraging Cloud to Reshape the Broadcast Supply Chain: Sony Ci Media Cloud Platform and Public Media Management 3:30-3:45 pm Break CONTENT PUBLISHING AND MONETIZATION 3:45-4:30 pm Cloud-enabled Innovation at Dow Jones 4:30-5:15 pm Content Monetization in the AWS Cloud 5:15-5:30 pm Wrap Up and Networking Reception

Thank You to Our Sponsor

Industry Business and Technology Challenges

Cost Pressures Data center investment,

management; cost alignment

Content Growth More content, mediums (VR),

higher quality (4K, HDR…) leads to more storage & compute needs

Peak Demand Servicing unpredictable demand =

overprovisioning and idle capacity

Competitive Pressures Changing consumption patterns

(cord cutting, unbundling); nimble competitors

Global Market Competition for customers across channels and GEOs

Core Competency Resources deployed on datacenters vs. core biz

Cloud Benefits and Outcomes

Benefit from massive Economies of scale

AWS helps you adapt your media storage and compute needs

Stop guessing capacity Handle unpredictable & bursty

media needs

Trade capital expense for variable expense

Pay for media you store and process, as you go

Go global in minutes Global availability instantly, with

no commit

Stop spending money on running & maintaining data centers

Focus your resources on your media needs

Increase speed and agility Shorten time-to-market, test out

new approaches

Innovating on Behalf of Customers

Building and managing cloud since 2006

70+ services to support any cloud workload

History of rapid, customer-driven releases

12 regions, 32 availability zones, 55 edge locations

51 proactive price reductions to date

Thousands of partners; 2,100+ Marketplace products

Experience

Service Breadth & Depth

Pace of Innovation

Global Footprint

Pricing Philosophy

Ecosystem

Global Footprint

AWS is available today in the U.S., Brazil, Europe, Japan, Singapore, Australia, and China. Additional regions in India, Korea, the UK, and Ohio are expected to come online over the next 12 – 18 months. Over 1 million active customers across 190 countries 2,000 government agencies 5,000 educational institutions 12 regions 32 availability zones 54 edge locations

Region

Edge Location

ENTERPRISE APPS

DEVELOPMENT & OPERATIONS MOBILE SERVICES APP SERVICES ANALYTICS

Data Warehousing

Hadoop/Spark

Streaming Data Collection

Machine Learning

Elastic Search

Virtual Desktops

Sharing & Collaboration

Corporate Email

Backup

Queuing & Notifications

Workflow

Search

Email

Transcoding

One-click App Deployment

Identity

Sync

Single Integrated Console

Push Notifications

DevOps Resource Management

Application Lifecycle Management

Containers

Triggers

Resource Templates

TECHNICAL & BUSINESS SUPPORT

Account Management

Support

Professional Services

Training & Certification

Security & Pricing Reports

Partner Ecosystem

Solutions Architects

MARKETPLACE

Business Apps

Business Intelligence Databases DevOps

Tools Networking Security Storage

Regions Availability Zones

Points of Presence

INFRASTRUCTURE

CORE SERVICES

Compute VMs, Auto-scaling, & Load Balancing

Storage Object, Blocks, Archival, Import/Export

Databases Relational, NoSQL, Caching, Migration

Networking VPC, DX, DNS CDN

Access Control

Identity Management

Key Management & Storage

Monitoring & Logs

Assessment and reporting

Resource & Usage Auditing

SECURITY & COMPLIANCE

Configuration Compliance

Web application firewall

HYBRID ARCHITECTURE

Data Backups

Integrated App Deployments

Direct Connect

Identity Federation

Integrated Resource Management

Integrated Networking

API Gateway

IoT

Rules Engine

Device Shadows

Device SDKs

Registry

Device Gateway

Streaming Data Analysis

Business Intelligence

Mobile Analytics

AWS Cloud Services Highlights Amazon

STORAGE

Amazon DELIVERY

Amazon COMPUTE

Amazon PROCESSING

Amazon INGEST

CloudFront – Global Content Delivery Network with Analytics and customization at the edge

S3andGlacier–durable,scalableandsecuresolu.onsforon-lineandarchivalcontentstorage

Elastic Transcoder; Elemental Technologies – Scalable and cost effective video processing and transcoding

EC2 – Resizable general purpose compute capacity featuring instance types optimized for processing video, analytics

Direct Connect; Snowball; S3 Transfer Accelerator – Upload options for content and files of all sizes

Elemental Product Portfolio Elemental SERVER

Elemental LIVE

Elemental CONDUCTOR

Elemental DELTA

Elemental CLOUD

Real-time video & audio encoding

Faster than real-time video processing for file-based workflows

Video delivery origin for monetization, packaging, DRM, and distribution.

Unified management & orchestration

Platform for managing & deploying workflows in AWS

AWS Digital Media Customers

NASA/JPL

WHO WE OBSESS OVER: SOME OF ELEMENTAL’S 850+ CUSTOMERS

Pay TV Operators Content Owners Broadcast / Sports Corp/Edu/Gov’t

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AWS Partner Ecosystem INGEST STORE MANAGE SECURE PROCESS

CREATE MONETIZE

INTEGRATE DELIVER

SaaS BYOL PaaS

Media Software on AWS Marketplace

•  Launch Software on AWS with 1-Click •  Pay-by-the-hour, monthly, or annual •  Single invoice for AWS usage and ISV

software •  Free Trials

Key Media Workloads Migrating to Cloud

v

Acquisition

DAM & Archive

Media Supply Chain

Publishing

Playout & Distribution

Analytics

OTT

VFX & NLE

Dive Deeper at: aws.amazon.com/digital-media

Content Production

v

Acquisition

DAM & Archive

Media Supply Chain

Publishing


Analytics

OTT

VFX & NLE

Digital Media Ingest and Storage Options on AWS

Erik Durand Amazon Web Services

Content has Gravity and is getting heavier …

…it’s easier to move processing to the content

Partner 4k/8k Content

Where is the problem?

MoreBandwidth$$$$$

MorePowerfulCompute$$$$$

WaymoreStorage$$$$$

SomeProgress(ABR,HEVC,VP10)

Where is the sliding scale on my Infrastructure?

Amazon EFS

File

Amazon EBS Amazon EC2 Instance Store

Block

Amazon S3 Amazon Glacier

Object

Data Transfer

AWS Direct Connect

AWS Snowball

ISV Connectors Amazon Kinesis Firehose

S3 Transfer Acceleration

Storage Gateway

AWS Storage is a platform

A Concept - the Content Lake Inspired from Data Lake (Coined by James Dixon in 2010)

A single store of all of digital content that you create and acquire in any form or factor Don’t assume any resolutions/formats (for now or future) It is up to the consumer (application consuming the content) to use the appropriate infrastructure for processing

Amazon S3 : the Content Lake

Durable, cost-effective and fast Highly scalable front-end

•  Multi-part uploads (parallel writes) •  Range-gets (parallel reads)

No need for capacity planning or provisioning Use Amazon S3 with on-premises storage in a hybrid model Secure

S3 scalability: buckets and objects

1 PB raw storage

800 TB usable storage

600 TB allocated storage

400 TB application data

S3 capacity pricing—pay only for what you use

AWS Cloud Storage

Object Storage Options

S3 Standard

S3 Standard - Infrequent Access

Amazon Glacier

Active data Archive data Infrequently accessed data

-  Transition Standard to Standard-IA -  Transition Standard-IA to Amazon Glacier

-  Expiration lifecycle policy -  Versioning support

-  Prefix support

Data Lifecycle Management

T T+3 days T+5 days T+ 15 days T + 25 days T + 30 days T + 60 days T + 90 days T + 150 days T + 250 days T + 365 days

Data access frequency over time

Securing your data on AWS

AWS alignment with the latest MPAA cloud based application guidelines for content security – August 2015 • VPC private endpoint for Amazon S3 – enables a true private workflow capability • Encryption & key management capabilities • Amazon Glacier Vault for high-value media/originals

Save money on storage

58% saving over S3 Standard

44% saving over S3 Standard-IA

* Assumes the highest public pricing tier

Hydrating the Content Lake

AmazonS3 AmazonS3(mulJ-partUpload)

Direct Connect

Nx1G|10G

MassivelyScalableFront-end

S3 Transfer AcceleraJon AWS Snowball

Storage Gateway

Avere - Demonstrated M&E Success

Who uses Avere? Movie studios for the top-20 blockbusters of 2015 for special effects

Customer Challenges •  Scale rendering and transcoding performance •  Cost, space & power •  Managing storage silos •  High latency of data access over WAN •  Add compute resources at peak times •  Need for 2-3 months, no long-term commitment •  Do NOT want to rewrite applications

Avere Benefits •  Hot data stored on RAM & SSD within FXT cache •  Bulk of data can remain on-prem or on inexpensive

S3 •  Caching of remote data eliminates WAN latency •  Clustering provides scalable NAS performance •  Hybrid model - FXT filer on-prem and/or vFXT on EC2 •  Pay only for what is used

Optimizing Data Transfer Method #1: The Highway

What is AWS Snowball? Petabyte-scale data transport

E-ink shipping label

Ruggedized case “8.5G impact”

All data encrypted end-to-end

Rain- and dust-resistant

Tamper-resistant case and

electronics

80 TB 10 GE network

How it works

Use cases: AWS Import/Export Snowball

Cloud Migration

Disaster Recovery

Data Center Decommission

Content Distribution

How fast is Snowball?

•  Less than 1 day to transfer 250 TB via 5x10 G connections with 5 Snowballs’ less than 1 week including shipping

•  Number of days to transfer 250 TB via the Internet at typical utilizations

InternetConnectionSpeedUtilization 1Gbps 500Mbps 300Mbps 150Mbps

25% 95 190 316 63250% 47 95 158 31675% 32 63 105 211

Optimizing Data Transfer Method #2: The Internet

Complicated Setup and Management

Hard to Optimize Performance

Expensive

Optimizing Internet Performance Is Hard

Prioprietary

Introducing Amazon S3 transfer acceleration

S3 Bucket AWS Edge Location

Uploader

Optimized Throughput!

Typically 50%–400% faster

Change your endpoint, not your code

54 global edge locations

No firewall exceptions

No client software required

Rio De Janeiro

Warsaw New York Atlanta Madrid Virginia Melbourne Paris Los Angeles Seattle Tokyo Singapore

Tim

e [h

rs]

500 GB upload from these edge locations to a bucket in Singapore

Public Internet

How fast is S3 transfer acceleration?

S3 Transfer Acceleration

We have customers uploading large files from all over the world. We’ve seen performance improvements in excess of 500% in some cases. - Emery Wells, Cofounder/CTO ”

“ Use case: media uploads

Regional Lakes…

AWS is available today in the U.S., Brazil, Europe, Japan, Singapore, Australia, and China. Additional regions in India, Korea, the UK, and Ohio are expected to come online over the next 12 – 18 months. Over 1 million active customers across 190 countries 2,000 government agencies 5,000 educational institutions 12 regions 32 availability zones 54 edge locations

Region

Edge Location

Source (Virginia)

Destination (Oregon)

•  Only replicates new PUTs. Once S3 is configured, all new uploads into a source bucket will be replicated

•  Entire bucket or prefix based

•  1:1 replication between any 2 regions

Use cases Compliance - store data hundreds of miles apart Lower latency - distribute data to remote customers/partners)

S3 cross-region replication Automated, fast, and reliable asynchronous replication of data across AWS regions

AmazonS3AmazonS3(range-gets)

Direct Connect

Nx1G|10G

MassivelyScalableS3Front-end

EBS

Instance Store

c MassivelyScalableComputeonAWSCloud

On-PremApps

Consuming the Content Lake

Media Workloads (redefined)

EBSInstance

Store

AmazonEBS/EFS/EC2InstanceStore

Process

Partner/Affiliate/ServiceProvider

UserDelivery/Consump.onVFX/Produc.on

On-PremApps

Archive

AmazonGlacier(LifeCyclePolicies)

c

c

Direct Connect

Content Access Transfer

Disposable Infrastructure

Auto-scaling Workload specific

AmazonS3

EFS

Q&A

Learn more at: http://aws.amazon.com/s3/ http://aws.amazon.com/glacier/ http://aws.amazon.com/importexport/

[email protected]

Securely storing your digital content and running media workloads

Konstantin Wilms – Specialist Solutions Architect Amazon Web Services

AWS Cloud Controls

Who is attacking and why?

Cyber Criminal

Hacktivist Advanced Persistent Threat (APT)

Deface & Destroy

Manipulate

Highly Targeted

Associated Press – Hacked Twitter Account

•  Internal password phishing •  1% drop in S&P 500 •  $136 Bn market drop •  US Treasury bond yield drop •  $ weakens against ¥

TV5Monde Outage

•  State sponsored phishing attack •  11 TV channels off air for 3 hours •  Website & Facebook page defaced •  Email server taken offline

Attack types against media vs other industries

Higher than Average •  DDOS •  Brute Force •  Application Attacks

Lower than Average •  Part of a botnet •  Scanning •  Recon

Content Production


Processing & Management

Content Storage

§  Modelling §  Rendering §  Video editing §  Post production §  Broadcast signal

acquisition §  Digital dailies/

approvals

§  B2C streaming of live and VOD content

§  B2B distribution §  Video advertising

insertion

§  High speed ingest §  Library storage and

archiving §  Tier management §  Content/asset

management

§  En/Transcode §  Packaging §  Encryption,

watermarking §  Digital Rights

Management §  Workflow, job

scheduling, automation

Content Consumption

§  Analytics, reporting, log analysis

§  Real-time monitoring

§  Content discovery §  Content

recommendation engine

Studio

Post House + Other Service Providers

Affiliates + Broadcasters + Distributors

Digital Media Workloads

Content Production



Content Storage

Content Consumption

Shared IT Services Network Security Operations Infrastructure

Partner Solutions

Storage | S3, Glacier, EBS, Instance Store, EFS

Processing | EC2, Database (RDS/DynamoDB), EMR, ECS, Lambda, SNS, SQS, SWF

Network | VPC, VPN, Direct Connect

Access | IAM, AWS Config, CloudTrail, CloudWatch

…from the Lens of a Security Architect

A Layered Security Approach

Security of the Cloud

Security on the Cloud

Cloud Security

Organization &

Management Operations Data Security

Application Security

Development Lifecycle

Authentication & Access

Secure Coding & Vulnerability Management

Digital Security

Content Management Content Transfer

Facili.esPhysicalsecurity

PhysicalinfrastructureNetworkinfrastructure

Virtualiza.oninfrastructure

§  Certifications

§  MPAA best practices alignment

https://aws.amazon.com/compliance/mpaa/

Security of the Cloud

What’s in scope for MPAA (BP) Alignment? …the entire AWS Services stack

MPAA Guidelines

MPAA Alignment

MPAA Best Practice Alignment

SOC ISO 27001

PCI DSS Level1 FEDRAMP }

Media Workflow Security

Content Production


Content Storage

§  Modelling §  Rendering §  Video editing §  Post production §  Broadcast signal

acquisition §  Digital dailies/

approvals

§  High speed ingest §  Library storage and

archiving §  Tier management §  Content/asset

management

§  En/Transcode §  Packaging §  Encryption,

watermarking §  Digital Rights

Management §  Workflow, job

scheduling, automation

Security of Media Workflows in the Cloud

•  Highly Valued Pre-Released Assets •  Secure Transfer (physical in many cases) •  Encryption & Key Management •  Access Control •  Deletion Protection •  Isolated from public access (internet) •  Logging and Monitoring •  Content location •  Patriot Act/PRISM

12 Regions

30 Availability Zones

54 Edge locations

Where is my Content?

Media Workflow Migration to AWS

corporate data center

AWS cloud

users

Content

Servers

disk

tape storage Amazon S3 Amazon Glacier

Content Encrypted at Rest

Encrypted in Transit Using my Keys

Over Private Connection Access Policies

Protection

Processing Layer Amazon EBS

MFA, Users,

Groups, Roles

Linked Accounts,

Alerts

Resource Separation

Log & Audit

CloudFormation

Infrastructure

Key & Secret Storage

Amazon S3 AWS KMS Request

Managed Policy

Keys managed centrally in Amazon KMS with permissions and auditing of usage

Additional Options such as AWS CloudHSM, Hashicorp Vault & others

Application Level Security

Development Lifecycle

Authentication & Access

Secure Coding & Vulnerability Management

AWS Config AWS IAM AWS CloudTrail AWS Inspector

Application Security

Encryption & Security Options


users

Content

Servers

disk

tape storage

Processing Layer

Amazon S3

Amazon EBS

Amazon Glacier

KMS/ HSM Client side

encryption

role IAM

role

AWS Import/ExportSnowball

AWS cloud

EncryptedContent

Private Hybrid Model - Non Internet Facing


users

Content

Servers

disk

tape storage

Processing Layer

Amazon S3

Amazon EBS

Amazon Glacier

KMS/ HSM Client side

encryption

role IAM

EncryptedContent

role Direct Connect

S3

VP

C E

ndpo

int

AWS cloud

Key Management Service

Provide CPK for S3 encryption at rest

EC2, ETS can request the data-key on behalf

of customer Store and deliver object specific keys in Dynamo

S3 Ingest For Source, Renditions, Metadata Sidecar Files

Ingest

AWS Elastic Beanstalk

Content Consumption

CloudFront Distribution

Amazon DynamoDB

Individual Key Storage

Other Media processing on EC2 Elastic

Transcoder

Processing

Authentication/ Authorization

Content owner provides the master key

Sample End to End Media Security Workflow

Storage Security Controls

Amazon Glacier Vault lock

Permissions Access Logs AWS CloudTrail Versioning Durability

Amazon S3

Launch a CloudFormation stack with all the infrastructure

resources for a specific project

Autoscale the stack as appropriate

AMI

CloudFormation Launch Template

CloudFormation Terminate Template

Infrastructure Recycling

VPC Flow Logs

Amazon SNS

CloudWatch Logs

Private subnet

Value-add Service for High Valued assets

AWS Lambda

If SSH REJECT > 10, then…

Elastic Network Interface

Metric filter

Filter on all SSH REJECT Flow Log group

CloudWatch alarm

Source IP

You are making API calls and accessing your content ...

On a growing set of services around the world accessing your content

Amazon CloudTrail is continuously recording API calls…

And delivering log files to you…

Elas.cLoadBalancing

Amazon S3 Amazon Glacier

Amazon CloudFront

Amazon S3/Amazon CloudFront/App Logs

Access Logs

Feed Logs in Amazon Cloudwatch or monitor patterns on Logs

Act Fast or automate based on realtime notifications and alerts

Amazon Redshift

Amazon EC2

AWS IAM

Amazon RDS

Amazon Elastic

Transcoder

Log, Monitor, Act - Proactively


§  B2B distribution

Distribution (B2B) Workflow Security

Content Delivery

Security of Distribution Workflows

•  Secure Transfer (physical in many cases) •  Encryption & Key Management •  Access Control (bucket policies, …) •  Logging and Monitoring (source, destination) •  Multiple Accounts (destination consumable media) •  Consumption Models (Requester Pays) •  Centralized Logging (security account)

Security of the Distribution (content transfer) Workflow (B2B)

AWS cloud

Proxy Layer (Optional) Amazon S3

KMS/ HSM IAM

role

S3 VPC Endpoint

Vendors / Partners

Internal Users

Affiliates/Distributors

Fine grained temporary access

Temporary Access

Access Logs

Distribution account

INGEST STORE MANAGE SECURE PROCESS

CREATE MONETIZE

INTEGRATE DELIVER SECURE

Media Security Software on AWS

Comprehensive Cloud Controls for Media

§  AWS CloudTrail, Config & S3 Logs §  Log-based Alerting (Splunk, AWS Elasticsearch, …) §  HIDS Solutions (MP, Partners, …) §  NIMS Solutions (MP, Partners, …) §  OS Controls (SELinux, …) §  AWS Inspector (CVE, …) §  Pre-Authorized Pentesting (Qualys, …) §  AWS Well Architected Program §  AWS Security Playbooks §  Disposable & Burnable Infrastructure §  Pre-Baked AMIs (Packer) §  AWS ECS (Docker / Containers) §  Patch Management (AWS, MP, BYO)

Thank You!

How Wazee Digital and Amazon S3 Enable Bloomberg’s Customers with Global Access to Business and Financial Content

Company Overview April 2016

About Us

With over 10 million video files managed, Wazee Digital is the global leader in content capture, cloud-based video management and monetization services for sports, media and entertainment companies around the world. !!

5/18/16 Copyright © 2016, Wazee Digital, Inc. All rights reserved.

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More than 300,000 Global Customers


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A Robust and Extensible Platform


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Core, Live Event Services and Commerce


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Wazee Digital's open supply chain means never compromising on technology choices !!

Core


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Wazee Digital’s services platform, combined with our experienced team, enables managed services that provide solutions to current industry challenges around global content supply chains and workflows…

REVIEW! MONETIZE! MANAGE!

DISTRIBUTION! ARCHIVE!

Core: Workflow Orchestration, Bloomberg


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Overview Customer since 2014 The Challenge Provide high velocity ingest, discovery and delivery service of images and videos to media syndication customers worldwide outside of Bloomberg’s proprietary terminal interfaces The Core Solution Acquire via Amazon S3 discovery policies with strict SLA expectations Manage transcode services via cloud-based services for elasticity Deliver using a robust, non-proprietary web interface

Key Points

•  Enables licensing, direct purchase, subscription, and delivery of photos, interviews, short form and TV episodic content

•  Close to a million assets under management

•  Supports fast ingest services via Amazon S3 for immediate syndication of news content

Live Event Services

The sports industry generates the world’s most compelling moments every day to global audiences. These moments are witnessed by millions of viewers on a grand scale across broadcast and digital mediums alike. These moments live forever, offering a unique value to sports properties and their rights-holders. From ingesting and tagging content; to locating and distributing highlights with ease, our clients look to us to amplify and monetize every moment of their content.


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Sports News Studio Brands

Commerce Customers

Wazee Digital represents the rights of more than 400 media partners (aka Contributors) Sports, News, Studio, Major Brands and Independent categories…


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May 18, 2016

The Bloomberg Content Service is a leading provider of global business and finance news, photos, video and data for more than 1,600 media outlets in 126 countries. 2,400

news professionals in 152 bureaus in 72 countries

Who we are

Clients include:

All Platforms. Everywhere.

Most Innovative Publisher of the Year 2014

TELEVISION 330M+ households worldwide 70M+ US households

DIGITAL 20.5M unique visitors

BLOOMBERG PROFESSIONAL SERVICE 325K+ subscribers in 174 countries

MOBILE 18.6M users

RADIO 27MM+ Listeners Stations in NY, SF, Boston and Sirius/XM nationwide

Print 1.3M+ circulation Bloomberg Businessweek, Bloomberg Markets & Bloomberg Pursuits

Flexible Models

Bloomberg Content Service licenses News,

Photos, Video, Linear TV, Data, and Bloomberg

Terminal to partners through:

•  Subscriptions

•  Partnerships

•  Royalty arrangements

Rights Clearance & Ops Workflows •  100% Owned Content Ownership

•  Standard Tagging

•  Extensible Video Formats

•  Multiproduct Integration

Media Source: Bloomberg’s Visual Media Portal

Why Bloomberg Chose Wazee Digital

Bloomberg Needs •  Opportunity in footage licensing •  Risk in existing photo portal/archive •  One partner to deal with the storage,

transformation and delivery of assets •  White-label portal solution

Wazee Capabilities •  Core technology in place for its own

licensing business

•  Video-native company with scale

•  Experience with white-label portal solutions for premium brands

•  Focused on custom needs

Wazee Core Benefits •  Critical points of integration with AWS allowing for

seamless workflow •  Additional points of monitoring to limit interruptions in

content flow •  Normalizing of metadata to work across multi-asset

search on portal •  Managing subscription rules and users access

AWS Integration •  Ingest leverages AWS storage, monitors, queues,

transcodes and permissions •  Limits transfers of large, mezzanine files and keeps

metadata current with origin file •  Elasticity of AWS enables scale for both short-term

(news) and long-term (archive) needs •  Avoiding capital investment facilitates workflows beyond

legacy systems

Content Ingest Leveraging Wazee Digital and AWS

Media Source: One Search For All Assets

Challenges and Learnings

•  Demands for a “real-time” news service

•  Archive versus news

•  Integration of latest tech with reliable, and fully developed legacy systems

•  Unifying metadata and search terms

•  Understanding customer behavior and their needs

•  Managing permission rules

•  Transfer of large files to distant and low-bandwith markets

What’s Next

•  Content Expansion with other prominent media brands

•  Video products in other languages

•  Packages of content across assets

•  Improved API access

•  Better integration with our own asset storage systems

•  Combining Media Source front-end with Bloomberg’s news portal è

Thank you! Questions?

Cost Effective Rendering at Scale with EC2 Spot Usman Shakeel | Principal Solutions Architect M&E Amazon Web Services

Agenda

Cost Effective Rendering at Scale with EC2 Spot

VFX/Animation Rendering Computationally intensive Batch Process Non-deterministic Compute usage patterns Customer Sizes/Types Hybrid/All-in Cloud Workflows Architectures

AWS’s Spare Capacity at Scale Spot Features that make it super easy Terminations – What is it worth? Real world examples

Under 2 pennies per core hour What is the definition of “large” in scale Is it really cost effective? 1 3

2

VFX/Animation Rendering - workflow components

Composting Modeling Rendering

Asset Management

Collaboration and Task Management

Challenges in the VFX/Animation Industry

Increasingly Shrinking Budgets Cap-ex / Op-ex conundrum and flexible hardware needs Increasingly Global Workflows Increased Demand for Computation

•  High Resolutions (4K, 8K and beyond) •  3D Stitching •  VR, AR Stitching

Project based Infrastructure requirements •  Budget, Quality, Render Time

A broad and complex Software toolset per project Security of Crown Jewels

The challenge of making a film


On-premise capacity


On-premise capacity

Rendering in the Cloud


On-premise capacity

Rendering in the Cloud Cloud provides you the capability to scale fast and get the outputs faster

Initial project on-boarding artwork

Rendering Workflow Components

Storage

Render Farm

Pipeline and License Manager

Graphics Artist Workstations

Rendering Workflow Components (move to the cloud)

Storage

Render Farm


Graphics Artist Workstations

•  Content has gravity •  Network Bandwidth •  Hybrid/All-in Cloud •  IO Performance

•  Ability to burst at a very short notice

•  Cost? •  Performance •  Security

•  License mobility/Elasticity •  Dependency Management

(hybrid scenario)

•  Interactivity •  High Performant

Storage •  Hardware Support

Rendering in the Cloud - Hydrating the Cloud Renderfarm

S3 as the content repository for your content/data •  On AWS Marketplace/SaaS

(Aspera, Signiant, File Catalyst, Expedat) •  S3 Multi-part Upload •  AWS import/export Snowball •  S3 Transfer Acceleration NEW ! Direct to Shared File Systems •  EFS throughput scales linearly to the storage •  Lustre can hydrate from an S3 bucket •  Avere can be fronted to S3 or an on-premise NAS •  AWS Snowball NEW ! AWS Direct Connect

EFS S3 Multipart

AWS Snowball

Rendering in the Cloud - Shared FS Everywhere (some ideas)

Shared Storage On-prem Storage AWS Direct Connect

Storage Cache

Amazon S3

Luster on EC2

Avere on EC2

EFS

AWS Direct Connect

Hydrate workers

EC2 Spot

Shared Storage

FXT on-prem

Rendering in the Cloud - Shared FS (Content/Data Share) Everywhere

Elastic File System (Amazon EFS) •  Designed to support Peta-Byte scale file systems •  Throughput scales linearly to storage •  Same latency spec across each AZ •  Thousands of concurrent NFS connections •  Works great for Large I/O sizes •  Pay for only what you use not what you provision •  Managed with multi-copy durability Amazon EFS

• BYOL • SaaS • AWS Marketplace • Elastic Licensing models

Thinkbox Deadline 8 Usage Based Licensing •  Render nodes pull metered licenses from Cloud-based license server •  Usage is tracked per minute •  Bulk minutes will be available via Thinkbox’s online store •  Hosts 3rd party licensing (Nuke, VRay, etc)

Rendering in the Cloud - Licensing at Cloud Scale

AWS M&E Partner Eco-System

INGEST STORE MANAGE SECURE PROCESS

CREATE MONETIZE

INTEGRATE DELIVER

SaaS BYOL PaaS

Rendering in the Cloud - Move the Graphic Artist to the Cloud …

Rendering is going Global •  NVIDIA GPU based EC2 instances •  Nice DCV •  Teradici PCoIP •  Windows and Linux (VNC+VirtualGL)

3D Modeler

Modeling Dumb Client

Remote Application running on a G2 instance

G2

Rendering in the Cloud - Managing your “disposable” infrastructure

Launch a CloudFormation stack with all the infrastructure

resources for a specific project

Autoscale the stack as appropriate

AMI

CloudFormation Template

CloudFormation Terminate Template

Rendering in the Cloud – Securing the Crown Jewels

•  AWS alignment with the latest MPAA cloud based application guidelines for content security – August 2015

•  VPC private endpoint for S3 – enables a true private workflow capability

•  Encryption & key management capabilities •  Glacier Vault for high-value media/originals

Rendering in the Cloud - A Sample Architecture (All in Cloud Pipeline)

Shared Storage

Renderfarm

On-Prem Storage


3D Modeler

Remote App Visualization

AWS Direct Connect

Modeling Dumb Client

Storage Cache

Amazon S3

Avere on EC2

Scalable Renderfarm on EC2

Appstream or Teradici running on a G2 instance

Pipeline Manager running on EC2

G2

EC2 SPOT

EFS

Hydrate workers

EC2 Spot

Render Farm

Rendering in the Cloud - A Sample Architecture (A Hybrid Pipeline)

Shared Storage

Renderfarm

On-Prem Storage AWS Direct Connect

Storage Cache

Amazon S3

Avere on EC2

Scalable Renderfarm on EC2

EFS

Hydrate workers

EC2 Spot

On-premise Renderfarm

EC2 SPOT

Cloud renderfarm as an extension of on-prem renderfarm

FXT on-prem

Pipeline and License Manager (also manage cloud renderfarm)

Lets dig deeper into EC2 Spot

$1 ¢

On-Demand

Pay for compute capacity by the hour with no long-term commitments For spiky workloads, or to define needs

AWS EC2 Consumption Models

Reserved

Make a low, one-time payment and receive a significant discount on the hourly charge For committed utilization

Spot

Bid for unused capacity, charged at a Spot Price which fluctuates based on supply and demand For time-insensitive or transient workloads

Spare capacity at scale

AWS has more than a million active customers in 190 countries. Amazon EC2 instance usage has increased 93% YoY, comparing Q4 2014 and Q4 2013, not including Amazon use.

With Spot the rules are simple

Markets where the price of compute changes based on

supply and demand

You’ll never pay more than your bid. When the market exceeds your bid you get 2 minutes to

wrap up your work

Capacity pools

AZ1

AZ2

SYD Total Capacity

T2 C4 M4 I2 R3 D2

Shared

Dedicated

Shared

Dedicated

$0.27 $0.29 $0.50

1b 1c 1a

8XL

$0.30 $0.16 $0.21 4XL

$0.07 $0.08 $0.08 2XL

$0.05 $0.04 $0.04 XL

$0.01 $0.04 $0.01 L

C3

$1.76

On Demand

$0.88

$0.44

$.22

$0.11

Show me the markets!

Each instance family

Each instance size

Each Availability Zone

In every region

Is a separate Spot Market

50% Bid

75% Bid

You pay the market price

Bid Price Vs Market Price

25% Bid

¢

-  ClusterK acquisition!-  Spot Bid Advisor!-  Spot fleet!-  Spot blocks!

What Happened In 2015?

Amazon EC2 Spot – in the wild

1)  We make this easy using the Spot bid advisor

2)  With deliberate pool selection and bidding, you will keep your Spot instance as long as you need to.

3)  And with new features like Spot fleet diversified we do the heavy lifting for you...

¢

Spot Bid Advisor – aws-spot-labs ¢

Spot fleet helps you

Launch Thousands of Spot Instances with one RequestSpotFleet call.

Get Best Price Find the lowest priced horsepower that works for you. or Get Diversified Resources Diversify your fleet. Grow your availability. And Apply Custom Weighting Create your own capacity unit based on your application needs

¢

It is easy!

aws ec2 request-spot-fleet --spot-fleet-request-config file://config.json { "IamFleetRole": "arn:aws:iam::781603563322:role/fleet-role", "TargetCapacity": "100", "SpotPrice": "0.03", "ValidFrom": "2015-09-15T00:56:19Z", "ValidUntil": "2016-09-14T07:00:00Z", "TerminateInstancesWithExpiration": true, "LaunchSpecifications": [ { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.large", "WeightedCapacity": 2, "SubnetId": "subnet-d0dc51fb" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.large", "WeightedCapacity": 2, "SubnetId": "subnet-64531413" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.large", "WeightedCapacity": 2, "SubnetId": "subnet-0b1b8052" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.xlarge", "WeightedCapacity": 4, "SubnetId": "subnet-d0dc51fb" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.xlarge", "WeightedCapacity": 4, "SubnetId": "subnet-64531413" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.xlarge", "WeightedCapacity": 4, "SubnetId": "subnet-0b1b8052" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.4xlarge", "WeightedCapacity": 16, "SubnetId": "subnet-d0dc51fb" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.4xlarge", "WeightedCapacity": 16, "SubnetId": "subnet-64531413" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.4xlarge", "WeightedCapacity": 16, "SubnetId": "subnet-0b1b8052" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.8xlarge", "WeightedCapacity": 32, "SubnetId": "subnet-d0dc51fb" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.8xlarge", "WeightedCapacity": 32, "SubnetId": "subnet-64531413" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.8xlarge", "WeightedCapacity": 32, "SubnetId": "subnet-0b1b8052" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.2xlarge", "WeightedCapacity": 8, "SubnetId": "subnet-d0dc51fb" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.2xlarge", "WeightedCapacity": 8, "SubnetId": "subnet-64531413" }, { "ImageId": "ami-0d4cfd66", "InstanceType": "c3.2xlarge", "WeightedCapacity": 8, "SubnetId": "subnet-0b1b8052" } ] }

¢

An easy to use interface that lets you launch spare EC2 instances in seconds

Helps you select and bid on the EC2 instances that meet your applications requirements

Simple to use dashboard lets you modify and manage your application’s compute capacity

EC2 Spot Console

Spot Fleet – Focus on application needs

Using a single additional Parameter

Run continuously for up to 6 hours

Save up to 50% off On-Demand pricing

EC2 Spot block

$1 ¢

Capitalizing on two minute warning

When the Spot price exceeds your bid price, the instance will receive a two-minute warning Check for the 2 minute spot instance termination notification every 5 seconds leveraging a script invoked at instance launch

Sample script – two minutes left!

1) Check for 2 minute warning 2) If YES, run shutdown scripts 3) OTHERWISE, do nothing 4) Then sleep for 5 seconds

#!/bin/bash while true do if curl -s http://169.254.169.254/latest/meta-data/spot/termination-time | grep -q .*T.*Z; then /env/bin/runterminationscripts.sh; else # Spot instance not yet marked for termination. sleep 5 fi done

Real-Life Examples… Cost, Scale & Performance

¢

A Customer Example – Large Scale, Cheap, High Performant

A large scale example for animation rendering on AWS: •  Hybrid Environment using Avere •  All in Cloud Rendering using EFS •  Automated environment leveraging Spot Fleet •  Launched 40K cores in 20 min at < $0.02/core/hr for the particular rendering workload Findings: EFS performance for rendering Hybrid Rendering Scenarios

http://www.slideshare.net/ AmazonWebServices/ cmp404-cloud-rendering-at-walt-disney-animation-studios

Customer Example - Spot Fleet Deployment

Core Count

./aws_spot_fleet_request-preinvent--cpu8--ram64-m4.7-c1500

EFS Performance in a real rendering scenario - Average Open Latency

EFS Performance in a real rendering scenario - Average Read Latency

0

100

200

300

400

500

600

700

100 500 800 1200 2400 4000

Tim

e (µ

s)

Render Processes

Mid-TierA Mid-TierB Mid-TierC Archive EFS

Customer Example Rendering in the Cloud vs. On-Premise

!"!!!!

!5,000!!

!10,000!!

!15,000!!

!20,000!!

!25,000!!

!30,000!!

1! 10! 20! 30! 40! 50! 60! 70! 80! 90!

Ren

der T

ime

(s)

Frame #

EC2/EFS!

On!Prem!

Lower is better

The $9 Billion Experiment 50,000 physical cores to meet the 1500 scientific researchers demand

Over 5 days, less than 1% of instances were terminated, leaving them with a significant margin of safety. Instead of building a 50,000 core data center they were able to successfully use AWS Spot for 5 days and pay just $45,000

Another customer example - Large Scale, Cheap, High Performant

Parting thoughts

VFX/Animation rendering workloads can be streamlined on the cloud • Avoid Data/Content movement • Distribute Single job across multiple nodes • Manage state often • Segregate subworkflows (winthin a single pipeline) between incloud and on-premises based on dependancies

Rendering in the Cloud is possible and can be more performant over traditional hardware setup

• All-in Cloud vs. Hybrid • Technical Feature set has come a long way from even a year ago

AWS EC2 has a VERY Large Capacity @ CHEAP • EC2 Spot (Fleet, Block) and Reserved Instance models

Questions / Comments / Feedback

v

Acquisition

DAM & Archive

Media Supply Chain

Publishing


Analytics

OTT

VFX & NLE

Content Distribution & Media Supply Chain

All In: Cloud Transformation of the Media Industry Alex Dunlap – GM, CloudFront, AWS Keith Wymbs – CMO, Elemental Technologies May 16, 2016

“Why cloud computing?”

2006

Today, the Benefits Are Very Well Known

?Move from operational

to variable cost Lower variable cost than most

companies can achieve No need to

guess capacity

Agility, speed & innovation

Remove undifferentiated heavy lifting

Go global in minutes

Customers are experiencing these benefits across all

Industries

Workloads

Company Sizes

Bold Move in 2009

Time Inc. is going all-in on AWS, migrating five of its global data centers to AWS. The company has already reduced costs by 75% across 80 web properties that deliver more than 120 million impressions each month.

The Destination for Many Enterprises: All-in

But isn’t media different?

Why are Media Customers migrating now?

-0.8%

-0.6%

-0.4%

-0.2%

0.0%

0.2%

0.4%

1-10 11-20 21-75 75-150 150+

Y/Y

Cha

nge

in %

of T

otal

Vie

win

g H

ours

Cap

ture

d

Network Groupings: Ranked in Order of C3 Hours Viewed

Y/Y change in % of total viewing hours captured (TTM thru Feb. 2016)

Top networks and tail networks have gained share at the expense of the middle.

Y/Y Change in Distribution of Viewing

Sources: Rentrak, Pacific Crest Securities Sources: Rentrak, Pacific Crest Securities

Source: Pacific Crest, Rentrak 3/16

Trade capital expense for variable expense

Pay for media you store and process, as

you go

Benefit from massive economies of scale

AWS can adapt to your media storage and compute needs

Stop guessing capacity

Handle unpredictable and bursty media needs

Increase speed and agility

Decrease time-to-market, test out new approaches

Go global in minutes

Global availability instantly, with no commit

Stop maintaining data centers

Focus your resources on your media needs

Digital Media & the Cloud

Perfecting the Media Experience

Connecting viewers with content at massive scale

Three use cases: Building a Better On-Ramp to the Cloud

coverage

coverage

Solution Challenge

Benefit

Rapid delivery of content with the flexibility to easily adopt new formats and standards ensuring service availability on all devices

Cloud-based resources provide elastic video processing capacity with dynamic scaling to absorb spikes in demand

Serve catch-up programming to millions of users per day across 1,000 multiscreen device types

BBC USE CASE: DAILY CATCH-UP

Minimum: 5 nodes

Peak usage: 80 nodes

• 19k hours / month

• 4,200 steady state

Example daily Elemental Cloud usage

Excess capacity

• 13k hours capacity

• 6,600 hours unused

On-premises comparison

BBC Video Factory Workflow

•  Video Factory captures live broadcasts and sends to Amazon cloud storage

•  Processing jobs get picked up by idle transcoder or create new instance

•  Elemental Cloud processes multiple H.264 ABR video streams

•  Elemental Cloud ramps dynamically with processing demand on AWS EC2

Live TV

SOURCE CDN

AWS DataTransfer

STORAGE

AWS S3

ELASTIC VIDEO PROCESSING DATA TRANSFER

AWS Direct Connect

iPLAYER DISPLAY DEVICES

coverage

coverage

Solution

Quickly and efficiently prepare 3,900+ hours of live and catch-up World Cup coverage for delivery to viewers on any OTT device

Challenge

Benefit

The platform provides an end-to-end second-screen solution for live streaming feeds, multi-angle content and VOD assets to sports fans

Elemental Cloud on AWS EC2 provided encoding elasticity with the ability to reliably deliver high quality, high resolution live content across multiple streaming protocols across the globe

Quickly and efficiently prepare 3,900+ hours of live and catch-up World Cup coverage for delivery to viewers on any OTT device

Case Study: Live Events for 2014 World Cup

• Peak Usage: 140 nodes

• 15k total usage hours

Elemental Cloud usage

• 111k hours capacity

• 96k hours unused

excess capacity

On-premises comparison

2014 World Cup Live Streaming Workflow

•  10Mbps live HLS input streams delivered from Rio to Dublin

•  Elemental Cloud services ingested up to 48 concurrent inputs

•  Each input converted to 9 ABR outputs, 2 thumbnails, and 1 RTMP feed

•  Content delivered to regional broadcasters via CDN

ELASTIC VIDEO PROCESSING

Live TV

STADIUMS FIBER

Accelerated

GLOBAL

Broadcasters

DISPLAY DEVICES

HLS Inputs to AWS S3

S3 STORAGE DELIVERY

AWS Data Transfer

Case Study: Amazon Video Live Streaming

Satellite and Fiber Network

SOURCE

LOAD BALANCER

DISPLAY DEVICES CDN 2

CDN X

Amazon CloudFront

ELEMENTAL CLOUD

LOAD BALANCER

AWS REGION 2

Direct Connect

INGEST LOGIC

AWS REGION 1

Direct Connect

INGEST LOGIC

ELEMENTAL CLOUD

Amazon Redshift

Amazon SQS

Amazon EC2

Amazon SNS

OTHER AWS SERVICES USED Amazon Route S3

Amazon Video Live Streaming Workflow

Improving CloudFront’s Media Delivery Capabilities

AV’s Long Tail Demand Profile Presents a Challenge to CDNs

More Popular Titles Less Popular Titles

% o

f Ses

sion

s w

ithou

t err

ors

and

rebu

ffers

Other CDNs

Why doesn’t the traditional CDN work for long tail media?

Limited storage at the edge

Least recently used eviction

policy

Media files are big and getting bigger

Objects requested frequently

High cache hit ratios

Good playback experience

Objects requested infrequently High cache miss ratios Poor playback experience (latency, rebuffers)

Solution: Build Infrastructure Optimized for Throughput and Storage

Interconnect Fabric

Tier 1: Transit Layer

Tier 2: Caching Layer

Border

Transit / Peers

Interconnect Fabric

Border

Transit / Peers

Large-Object Store

Large-Object Store

Large-Object Store

Backbone

Benefits

Benefits

Direct peering with major ISPs in multiple internet

exchange facilities

Improved Throughput Better Caching Lower Costs

Petabytes of content storage at the edge

Decouples storage from network

capacity; scale each separately as

demand warrants

Results: CloudFront winning traffic where we have deployed new sites and raising the bar on quality

CloudFront Traffic Growth CloudFront QoS Improvements

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k 1

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k 3

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k 5

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k 7

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k 9

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k 11

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eek

13

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w

eek

17

wee

k 19

w

eek

21

wee

k 23

w

eek

25

wee

k 27

w

eek

29

wee

k 31

w

eek

33

wee

k 35

w

eek

37

Peak

Thr

ough

put (

Gbp

s)

Peak Throughput of Amazon Video served via CloudFront

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k 1

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k 3

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k 5

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k 7

wee

k 9

wee

k 11

w

eek

13

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k 15

w

eek

17

wee

k 19

w

eek

21

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k 23

w

eek

25

wee

k 27

w

eek

29

wee

k 31

w

eek

33

wee

k 35

w

eek

37

% o

f Ses

sion

s w

ithou

t err

ors

and

rebu

ffers

Quality of Service of Amazon Video served via CloudFront

Results: Dramatically improve performance on long tail portion of content

More Popular Titles Less Popular Titles

% o

f Ses

sion

s w

ithou

t err

ors

and

rebu

ffers

CloudFront Other CDNs

Our relationship with AV also influenced other media streaming specific improvements to CloudFront

Intelligent Pre-fetching

5 Mbps

2.5 Mbps

1 Mbps

512 Kbps

256 Kbps

Dynamic Manifest Support

CloudFront Edge

Pre-fetch video fragments into cache at the requested and adjacent bitrates to reduce cache misses.

AV URL Vending Service

Dynamic Manifest Service

Media Fragments Media

Fragments

Built support for requesting a dynamically generated manifest to optimize bitrate availability based on device to improve quality of playback.

.m3u8

AWS Digital Media Customers

NASA/JPL

In Summary

The cloud enables media and entertainment companies to connect premium content with viewers at massive scale Elastic cloud platforms help:

•  On-demand applications cope with peak loads •  Optimize live event workflows •  24/7 live linear content with maximum resiliency

Media-optimized CDN offerings can improve performance and quality

Thank You

Cloud Technology in the Media Supply Chain, Advertising and Analytics Chris Blandy, EVP Technology Solutions, Fox Networks Engineering & Operations Simon Eldridge, Chief Product Officer, SDVI Corporation Joshua Rangsikitpho, Chief Technology Officer, True[X]

18th May 2016

Today’s Discussion

Why Cloud? Industry Trends SDVI True[X] Q & A

Why Cloud?

Agility Time to Market Pay-as-you-go Cap Ex vs Op Ex Enables “Software-Defined” platform future

Trends

Cloud innovation is outpacing traditional on-premise solutions Broadcast technology moving to IP Rapid growth in non-linear/VOD consumption Data & Analytics Evolving advertising model

Fox NE&O at a Glance •  NE&O underpins our broadcast and cable networks business •  Supports 35 networks and 40k hours of live content annually •  3,984 programs produced and ~330k hours of content played out per year across 3

NE&O managed production facilities

CreaJve

FuncJons Clients

DistribuJon

Engineering&FaciliJes

•  FoxSports•  FBC•  FX/FXX/FXM•  FXP

•  FoxSports•  FBC•  FX/FXX/FXM•  FXP

•  FBC/FOXNow•  MyNetworkTV•  MundoFOX•  20thDom.Synd•  20thInt’lSynd•  FoxTVSta.ons•  FXSuite/FXNow•  NGSuite/NGTV•  FSRacing

•  FS1/FS2•  RSNs(14)•  FCS(3)•  FoxSoccer+•  FSNNetBase•  BigTen•  FoxSportsGo•  FOXSports.com•  FoxDeportes

ThirdPartyClients•  FOXNews/Business•  OtherFBCAffiliates•  MVPDs•  FNG/21CF

KeyMetric LosAngeles Woodlands Charlo[e Total

Produc.onControlRoomsSupported:

10 - 3 13

GraphicSystemsSupported: 105 - 30 135EditSystems: 221 - 24 245AudioEdi.ng: 15 - 1 16MasterControlRooms 24 39 - 63

SatelliteDistribu.onPaths 46 36 - 82

DesktopEdi.ng/MediaHandling:

284 - 80 364

NE&OByLoca,on

Fox NE&O is a factory with raw content inputs and varying distribution outputs

CreaJv

e

‒  DeliverySpecs‒  Schedules‒  ProgramPlanning

Distrib

uJon

‒  Schedules‒  Commercialdublists‒  Logs

Strategy&Planning1

ProducJonContent/Prep

2LiveProducJon

3DistribuJon

4

InformaJonGathering/Prep

1ContentIntake/

Staging

2Assembly/Packaging

3DistribuJon

4MVPDs

Affiliates

3rdPartyPladorms

‒  Content‒  LiveFeeds‒  FilesIn

puts

Inpu

ts

‒  Commercials‒  3rdPartyPrograms

NE&O’s Long Term 2020 Strategy A B C

CreaJv

eDistrib

uJon

NE&OCurrentlyPursuing

ShibFromHardware-BasedtoSobware-BasedSystemsforMulJ-PlacormDistribuJon

DevelopFullCloudCapabilityForEnd-To-EndNE&O

Processes

CompleteMigraJontoCloud&

DynamicContentAssembly

ScaleforDirecttoConsumer?

Phase1 Phase2 Phase3 2020

FY15-FY16 FY16-FY18 FY17-FY19 FY20&Beyond

NE&O Efficiency Benchmarks

1.8 1.6

1.11.0

0.80.7

0.00.20.40.60.81.01.21.41.61.82.0

2001 2006 FY11 FY12 FY13 FY14

PerN

etworkHeadcou

nt

$1.0

$0.7 $0.6$0.5

$0.2$0.2

$0.0

$0.2

$0.4

$0.6

$0.8

$1.0

$1.2

2001 2006 FY11 FY12 FY13 FY14

PerN

etworkCo

st($in

millions)

CableNetworksOperaJonsLaborCosts

#ofNetworks: 5 8 12 12 14 16

CableNetworkManagementOverheadEfficiency

#ofNetworks: 5 8 12 12 14 16

$1.0

$0.7 $0.6$0.5

$0.2$0.2

$0.0

$0.2

$0.4

$0.6

$0.8

$1.0

$1.2

2001 2006 FY11 FY12 FY13 FY14

PerN

etworkCo

st($in

millions)

Introducing SDVI

SDVI provides a suite of SaaS-based infrastructure management applications and services that enable dynamic management of the 3rd Party Applications and Resources required to publish premium content to consumers, via television or digital distribution channels.

What does SDVI solve?

•  Spin up or spin down media infrastructure in minutes •  Shared versus dedicated infrastructure •  Infrastructure resources on-demand •  Best-in-class 3rd party applications, with no lock-in •  Facilitates the move to opex for media supply chains •  Accurate cost tracking and reports •  Infrastructure analytics and modeling

Linear Broadcast

Television & Network Feeds

Video Content and Metadata

(from suppliers)

Fox Broadcast Center Los Angeles

Manual Verification

Content Normalization

Content Captioning

Metadata Systems

Content Quality Check

Playout Systems

Existing Content Factory

The SDVI Platform SDVI Applications

•  Cloud-resident, workflow specific SDVI Applications that leverage the 3rd Party Applications, SDVI Platform Services and virtualized infrastructure to address common operational problems

SDVI Platform Services •  Back-end SDVI services that provide functionality to the platform such as

resource management, analytics & optimization

SDVI Adapters •  Connectors to 3rd Party Applications, and on or off premise processing, storage &

networking resources

3rd Party Applications •  3rd Party Applications such as transcoding, file-based QC and network/ router

control

Infrastructure •  The infrastructure includes processing, storage and networking resources which

may be located in private or public cloud, or on premise

SDVI Applications

SDVI Platform Services

SDVI Adapters

3rd Party Applications

Infrastructure

Infrastructure Management for the Media Supply Chain

Fox Broadcast Centre Los Angeles

Content Quality Check

Content Normalization

Content Captioning

Distribution-ready content and BXF metadata

Future Distribution Platforms

Single sign-on & 2-factor authentication via Bypass Path

Manual Upload

Video Content (from suppliers)

Customer Portal (content suppliers)

Content Metadata

Expected results of the migration

•  Reduced labor costs associated with supply chain •  Increased operational resilience •  Vanguard of ‘cloud-first’ strategy •  Transition to pay as you go model, transparent pricing on

a unit cost basis •  Elastically absorb peaks in volume •  Leading the ecosystem of broadcast engineering tool

providers to software-defined, cloud ready solutions

true[X] is the gold standard for engagement advertising. We deliver the most effective format to gain real consumer attention and form meaningful brand connections in the digital space.

Introducing True[X]

Joshua Rangsikitpho Chief Technology Officer, True[X]

Responsible for: • Ad technology • Data engineering

Engagements

Your ad is full screen ad without any competition or distractions. It’s just the consumer and your

message.

100% SOV

Your ad runs on the most viewable ad

network, verified by MOAT. You run an ad

and people really see it. It is that simple.

100% Viewable

This is guaranteed fraud-free engagement. Only real humans with real eyes and real ears interact with your brand.

100% Bot Free

Consumers initiate the brand experience, which means they only see your ad if they choose to. The

most meaningful interactions happen when

both parties agree to engage.

100% Consumer

Opt-in

Engagement Serving Platform

Load balancer distributed traffic across multiple availability zones (ELB, EC2)

AutoScaling + Scheduled scaleups for live events. Stress tested to 20k requests/second. (ELB, EC2, AutoScaling Groups)

All system performance is tracked and anomalies trigger alerts with pre-defined escalation paths (Cloudwatch, Sensu, Pagerduty)

Elastic Scale

Monitored

Highly Available

Audience

Data collected directly on the Fox (ie. CRM, subscription data)

Party Data

Data offered by external data collection companies (ie. behaviorally modeled data)

Data collected by the advertiser (ie. purchase history)

1st 1st

Party Data 2nd

Party Data 3rd

Audience Platform

Multiple AZs via synchronous data replication (DynamoDb) Highly Available Data Backend

Real Time Targeting

Data pipeline loads external data sets into internal DMP (EMR) 1st, 2nd and 3rd Party Data Ingest

Data backend supports dynamic scaling (DynamoDb)

Analytics

Campaign Performance

Brand lift metrics determined through

surveys

Brand Lift

All user interactions within the engagement (ie. mouse

click/movement, demographic distribution,

frequency)

Viewership and monetization health

across the Fox ecosystem

Fox digital performance

Analytics Platform

Flexible, fault tolerant connection between ad serving and data layer (SQS, Aurora)

Simple, SQL enabled data warehouse for adhoc analysis and visualization layers (Redshift, Tableau)

Highly scaleable and cost effective analytics engine supporting complex data extractions and transformations (Spark, EMR, Spot Instances)

Big Data Analysis

Big Data Processing

Resilient Data Pipe

Q&A

WGBH Chief Technology Officer - Stacey Decker

§  Spend the time to understand your problems ü  What is costing so much money?

ü  Where are your roadblocks?

ü  Are we structured properly?

ü  What are the organizations strategies?

§  How can technology investments be realized?

What's not working? Why…..

207

WGBHCONFIDENTIAL

Set a Strategy….

Goals

Objectives

§ Create efficiencies in the PBS system § Retain local control of content and distribution

§ Technology that prepares for the future § Content, anytime, on any device § Redundant and high availability (Accessible) § Reduce local expenses § Leverage cloud computing and network services

WGBH and Sony create PMM

•  Public Private Partnership

•  Created for Public Media

•  Service Orientated •  Strong Vendor

Partners

Current PTV state

With PMM

Major functions •  Processes RT & NRT files (Transcode/rewrap, QC and metadata entry) •  Transfers files to Sony Cloud •  Manages overall health of system (NOC, node and connectivity to Ci)

Network Operations Center

Crispin/Harmonic workflow roles •  Manage real-time recordings via

Harmonic Amberfin/Digimetrics workflow roles

•  Rewrap content to AS03 specs •  Provide auto and manual QC

Aspera file acceleration workflow roles •  Manage content uploads to Ci


NOC operators workflow roles •  Perform manual QC and logging as required •  Oversee health of end-to-end PMM system


Your PMM node

Major functions •  Receives information on available assets

from cloud •  Automatically downloads the required

content – based on your unique schedule •  Provides approx. 30 days of local node

storage •  Supports local ingest from file, tape and

satellite •  Utilizes local PBS station services

platforms

§  Crispin/Harmonic workflow roles –  Automate real-time play-out &

recordings via Harmonic, as well as live switching when needed

§  Ci workflow roles –  Provide online content storage and

services including MAM functions

Your PMM node

§  Benefits to a station –  No need for costly dedicated fiber –  Automatically downloads the required

national content — based on your schedule

–  Inclusive branding software providing ability to air local snipes, lower thirds, bugs, etc.

–  Disaster preparation — multiple days of content stored in node

Your PMM node

PMM timeline to date

§ Proof of concept to live-on air in less than a year

218 CPB recommends JMC solutions

PMM Cloud overview

Major functions today

§  Creates multiple proxies §  National content stored reducing

duplication §  Living archive that can be accessed

and managed §  Content sharing and collaboration

PMM Ci Cloud

Where will the take us ???

§  Cloud based services – Closed Captioning – Cloud editing –  Social tools – Data driven distribution –  Emotionally driven content

PMM Ci Cloud

Lessons learned

§  Determine your problems…..

§  Set your goals (what are you trying to accomplish)

§  Good project management is key

§  Work before the work (storage strategies)

§  Leverages existing relationships with “the good ones”

§  Don’t be afraid to pivot

Project highlights

Sony | Ci Media Cloud Platform

Connects Teams, Facilities and Systems

Broadcast Facility, Post House, Vendors.

Traffic, Automation, OVP, MAM, etc.

Team NYC Workspace

Real-time contribution, collaboration, secure delivery and content processing for media workflows

Shoot + Acquire Pack + Ship Rough Cut + Review Integrate + Orchestrate

Automate and Simplify Redundant Tasks

Validate

Extract Metadata

Transcode Encrypt

Index

Notify

CDN

Store & Archive

Caption Transform

Ci Workspace gives you total access every step of the way.

Common Workflows

Collaboration Upload

Workspace + VideoReview &

RoughCut

Send MediaBoxes

Editorial Upload

Create edit-ready

proxies

Auto-deliver to facility

DR copy archived

Content Prep Upload

Transcode

QC

Caption Transform

Pull to air

100’s Terabytes processed every month Multiple Petabytes being managed In April… 6000 hours of video ingested (Peak was 50,000 hours) 200,000 images ingested 50,000 MediaBoxes sent

Built on AWS natively for scale

Scalability with Controls

Intelligent and tunable scaling limits per customer Spot instances when appropriate Optional features enabled per Workspace

Who uses Ci?

Who uses Ci?

Some Customer Platform Examples

Customer Examples

Who: Largest independent station group of major affiliates in top 25 markets with 46 stations What: All syndicated programming flows thru Ci where it is prepped for QC and pulled to air by each station.

Customer Examples

Who: Motion Picture, Television, Digital Studio What: Built their next generation DAM on top of Ci. “Runner” used by all divisions of the company. Archived > 2PB of content with Ci.

Customer Examples

Who: Fan engagement for modern sports organizations What: Built their FanCam experience on top of Ci. User Generated content is uploaded to Ci, curated by operations and pushed to in stadium displays

Customer Examples

Who: JV with Library of Congress/WGBH Archives What: 40,000 hours of broadcast content ingested into Ci and integrated with their customer portal

In Summary

Ci leverages AWS to eliminate constraints and provide customers with a simple on-ramp to cloud Our goal is to enable media workflow at scale with simple integration capabilities More at: http://sonymcs.com

Thanks!

Thank you

Content Publishing

v

Acquisition

DAM & Archive

Media Supply Chain

Publishing


Analytics

OTT

VFX & NLE

5/18/2016

Shaown Nandi VP, Head of Infrastructure and Cloud

CLOUD TRANSFORMATION JOURNEY

Save $100 Million annually Reduce from 50 data centers globally to 6 75% of computational power in the Cloud

AUDACIOUS GOALS SET IN FY14 BY NEWS CORP

Increase in AWS instances

400%

Dow Jones c loud compute

53%

Replicate True Lift and Shift

ReHost

Update Infrastructure (OS / DB / MW)

ReFactor Redesign to Cloud Native, leverage PaaS

Remediate Minor Application Changes, CI/CD Pipeline

Cloud Migration starts with an Operating Model

Multi-modal Operations

Be Proactive in Building Relationships!

“Automated Efficiency” allows non-DevOps apps the ability to leverage the cloud to be more scalable & resilient while reducing cost

Legacy Model

Digital Apps Transforming

Building a new ordering process on AWS

THANK YOU! QUESTIONS?

Digital Advertising and Content Monetization Dmitri Tchikatilov, Business Development Amazon Web Services

Content Monetization Trends Web

•  Content discovery platforms

•  Improved Mobile Web

•  Traditional Display spend is declining

Video •  Ad Spend

Desktop $5B Mobile $5B

•  Subscription Spend $5B

•  US Mobile Video is up 41% (2016)

Mobile

•  Mobile ad spend up 50%

•  Search •  Social •  Video

All numbers US – courtesy of eMarketer

Digital Content Strategy and Monetization

Content Strategy

Content Creation

& Lifecycle

Content Delivery

Payments Analytics

Ad Revenue

Where Does Cloud Make a Difference?

Paid subscribers

registered

identifiable

anonymous Integration with 3rd parties Prospecting, retargeting

Content recommendations Optimized user experience

Premium content Content control and distribution

User cross sell, lifetime value, churn

Dat

a In

sigh

ts

Advertiser Solutions

Ad Networks and Exchanges

Publisher Solutions

Content Publishers

Brands and

Marketers Data Providers

Digital Advertising Industry Scope for AWS

Industry Scope

Publishers

”

“ •  Decided to migrate its brands and data centers to AWS cloud

•  Worked with AWS tools and partners to ensure security of customer data

•  Found successful solutions for wide range of security challenges

•  AWS tools and solutions expected to save millions in security cost savings

Time Inc. All-in on AWS

Time Inc. is a leading global media and entertainment company. It is based in New York City.

AWS gives us the environment to be 100% ready as we complete

our move to the cloud. Keith O’Sullivan

Vice President, Global Information Security Time Inc.

”

“

”

“ •  3 months project •  reduced costs by 40% and increased

operational performance by 30-40% •  over 500 servers •  one petabyte of storage •  various mission critical applications

(such as HR, Legal, and Sales) •  over 100 database servers

Conde Nast: All-in on AWS

AWS enables the business to create content better and

faster... We can also adapt as we need.

Joe Simon EVP-CTO, Conde Nast

”

“ Hearst: 30 TB of Clickstream Data Daily on AWS

Hearst is one of the world’s largest media and information companies, with more than 360

businesses.

I don’t know how we could have made our clickstream data pipeline work without

Amazon Kinesis.

•  Needed to develop a platform to analyze real-time clickstream events and trending content.

•  Uses Amazon Kinesis Streams and Amazon Kinesis Firehose to transmit 30 TB of daily clickstream data.

•  Processes data from more than 300 websites.

•  Delivers clickstream data to editors in minutes.

•  Increases recirculation of trending content by more than 25 percent.

Peter Jaffe Data Scientist,

Hearst Corporation

”

“

AWS Data Pipeline

Buzzing API

API Ready Data

Amazon Kinesis

S3 Storage

Node.JS App- Proxy Users to

Hearst Properties

Clickstream

Data Science Application

Amazon Redshift

ETL on EMR

100 seconds 1G/day

30 seconds 5GB/day

5 seconds 1G/day

Milliseconds 100GB/day

LATENCY THROUGHPUT Models

Agg Data

Mobile Advertising

”

“ Mobile Application Monetization

Inneractive is a mobile ad exchange that provides technologies for the buying and selling

of mobile advertising space.

The company has saved tens of thousands of dollars. That’s between 20 and 30 percent of

our total monthly AWS bill.

•  Mobile Ad Exchange

•  450 million unique users per month

•  15–20 terabytes of raw data each day

•  Uses EC2 Spot Market to reduce the cost – partner solution by Spotiinst

•  Uses Amazon Redshift for data analytics

Gal Aviv Research & Development Group Manager

”

“

”

“ Mobile Monetization - Local Advertising

Localytics is a provider of mobile application monetization solutions

AWS helps us get new services to our customers faster. For a startup, faster

time to market is key.

ü  Mobile engagement and analytics platform

ü  37,000 apps

ü  3B devices worldwide

ü  AWS Kinesis, Lambda Mohit Dilawari Director of Engineering

”

“

Latest Developments - Big Data on AWS

Analysis of streaming data Apache Spark streaming, Kinesis Shorter time to insight

Serverless and event-driven architectures Shorter time to market

Data processing and machine learning in the same framework (Spark, Flink) Agility & flexibility

On the Buy Side

New Ad Technologies: In Image

New advertising formats IN-IMAGE ü  400M daily visitors across 2,000

premium publishers ü  1 billion events (approximately 6 TB

of data) every day. “With AWS, we can smoothly process billions of events daily with 24/7 reliability, and can scale quickly to meet spikes in demand...” Ken Weiner Chief Technology Officer

GumGum Architecture

“We run the RTB platform on more than 2,500 machines, approximately eight hours a day globally, at a cost of less than $0.05 per day per machine...” “Because we’re running on AWS, we’re able to focus 95 percent of our staff on new product development. Using AWS allows us to focus on innovating our platform and solving customer problems.” Valentino Volonghi, CTO AdRoll

Efficiency & Scale: Enabling Real Time Bidding

AWS Regions as Centers of Gravity

AdverJser

AdExchange

AdNetwork Publisher

AdNetwork

AdNetwork

AdNetwork

AdverJser

Publisher

Benefits: ü  Lower latency ü  Lower traffic costs ü  Large scale secure

B2B data sharing

High Growth in ü Mobile ü  Video

What's dangerous is not to evolve... Jeff Bezos

Thank You

Learn more at aws.amazon.com/digital-media For follow up, feedback and questions contact: Ian McPherson – [email protected]