MED402: Building a Scalable Video / Digital Asset
Management (DAM) Platform in the Cloud
Michael Limcaco – Enterprise Solu...
Agenda
•
•
•
•
•

The big picture
Architecture
Build-out exercise
Customer case study (PBS)
Observations and summary
Big Picture: Enterprise Media Architecture
Integrated
Workflow
RTMP
MPEG-TS

Live
Stream

Media
Files

Content
Management,...
Big Picture: Digital Asset Management (DAM)
Integrated
Workflow
RTMP
MPEG-TS

Live
Stream

Media
Files

Content
Management...
Workflow Management
Ingest

Processing

Storage

Discovery &
Delivery
Workflow Management
Ingest

Processing

Storage

Discovery &
Delivery
Key DAM Requirements
•
•
•
•
•
•
•

Ingest
Metadata extraction
Create renditions
Build the catalog
Enable rich search
Mana...
Key DAM Requirements
•
•
•
•
•
•
•

Ingest
Metadata extraction
Create renditions
Build the catalog
Enable rich search
Mana...
Key DAM Requirements
•
•
•
•
•
•
•

Ingest
Metadata extraction
Create renditions
Build the catalog
Enable rich search
Mana...
Why Scalable?
• Increasing volume, variety, velocity
– Collectors, cameras, sensors and sources
• Ex: UGC, raw source, Mez...
What about Search? Ugh …
• Core elements
– Project, keyword, asset name, tags, date/time capture, timecode range,
subject,...
Enough Theory …
Let’s Build a DAM in the Cloud!
(Demo)

The User Experience
(Notional Reference Client)
Architecture
Delivery
Cache

DAM
Storage &
S3 Buckets
Archive
For Renditions,
Mailbox
Event
Handler

DAM
Web Service

DAM
Interface
AWS...
Delivery
Cache

DAM
Storage &
S3 Buckets
Archive
For Renditions,
Mailbox
Event
Handler

DAM
Web Service

DAM
Web
Interface...
Delivery
Cache

DAM
Storage &
S3 Buckets
Archive
For Renditions,
Mailbox
Event
Handler

DAM
Web Service

DAM
Web
Interface...
Delivery
Cache

DAM
Storage &
S3 Buckets
Archive
For Renditions,
Mailbox
Event
Handler

DAM
Web Service

DAM
Web
Interface...
Delivery
Cache

DAM
Storage &
S3 Buckets
Archive
For Renditions,
Mailbox
Event
Handler

DAM
Web Service

DAM
Web
Interface...
Delivery
Cache

DAM
Storage &
S3 Buckets
Archive
For Renditions,
Mailbox
Event
Handler

DAM
Web Service

DAM
Interface
AWS...
Delivery
Cache

DAM
Storage &
S3 Buckets
Archive
For Renditions,
Mailbox
Event
Handler

DAM
Web Service

DAM
Interface
AWS...
Tools Available to Us
Need

Description

AWS Service

Ingest

Integrate w / existing file-based workflows

Amazon S3

Meta...
Catalog: A word on why DynamoDB
Container-A
Header

NoSQL Data Model

Layer-2

Core Elem1

Core Elem2

Elem from A

Name_A...
Catalog: A Word on Why CloudSearch
• Video and text
– Header fields with textual descriptions, synopsis, comments
– Tracks...
Other Goodies
• Back-end services
– AWS CLI
– Open source decode utilities
• EXIFtool
• MediaInfo

– ETL support
• Talend ...
Delivery
Cache

DAM
Storage &
S3 Buckets
Archive
For Renditions,
Mailbox
Event
Handler

DAM
Web Service

DAM
Interface
AWS...
CloudFront
Download
Distribution
Media
Content

Amazon S3 Storage
For Source,
Renditions, Metadata
Sidecar Files

EC2 Craw...
(Dual Screen)

Walkthrough
Setup
• Amazon Simple Storage Service (S3) buckets
ready to go
– External staging locations
– Internal working locations

...
1. Ingest, Crawl, Notify
a.
b.
c.
d.

End user initiates data copy
EC2 worker scans Amazon S3 staging bucket
EC2 worker co...
CloudFront
Download
Distribution
Media
Content

Amazon S3 Storage
For Source,
Renditions, Metadata
Sidecar Files

EC2 Craw...
CloudFront
Download
Distribution
Media
Content

Amazon S3 Storage
For Source,
Renditions, Metadata
Sidecar Files

EC2 Craw...
CloudFront
Download
Distribution
Media
Content

Amazon S3 Storage
For Source,
Renditions, Metadata
Sidecar Files

EC2 Craw...
CloudFront
Download
Distribution
Media
Content

Amazon S3 Storage
For Source,
Renditions, Metadata
Sidecar Files

EC2 Craw...
CloudFront
Download
Distribution
Media
Content

Amazon S3 Storage
For Source,
Renditions, Metadata
Sidecar Files

EC2 Craw...
1. Ingest, Crawl, Notify
a.
b.
c.
d.

End user initiates data copy
EC2 worker scans Amazon S3 staging bucket
EC2 worker co...
2. Metadata Extraction
a. EC2 worker polls inbox (SQS)
b. EC2 worker pulls down media asset from
Amazon S3
c. EC2 worker p...
CloudFront
Download
Distribution
Media
Content

Amazon S3 Storage
For Source,
Renditions, Metadata
Sidecar Files

EC2 Craw...
CloudFront
Download
Distribution
Media
Content

Amazon S3 Storage
For Source,
Renditions, Metadata
Sidecar Files

EC2 Craw...
2. Metadata Extraction
a. EC2 worker polls inbox (SQS)
b. EC2 worker pulls down media asset from
Amazon S3
c. EC2 worker p...
Preparing for Amazon DynamoDB Insert

{
"COMPLETE_NAME" :
{ "S" : "01_01_SoccerF_05_A.mp4" },
"FORMAT" :
{ "S" : "MPEG-4" ...
Model It and Deploy to EC2! (Talend)
3. Catalog Processing
a. Store metadata record in Amazon DynamoDB
b. Reflect searchable subset to Amazon
CloudSearch
c. Go...
CloudFront
Download
Distribution
Media
Content

Amazon S3 Storage
For Source,
Renditions, Metadata
Sidecar Files

EC2 Craw...
CloudFront
Download
Distribution
Media
Content

Amazon S3 Storage
For Source,
Renditions, Metadata
Sidecar Files

EC2 Craw...
Querying the Catalog (Amazon CloudSearch)
• http://cloudsearch.demo.aws.com/2011-0201/search?bq=complete_name : …<field=va...
Customer Case Study (PBS)
Merlin: PBS CMS/DAM
• Code name Merlin
• Structured metadata
• 200+ web object records daily
– 29,046 web objects
• 150+ V...
What’s It Do?
• Large multitenant system
– 1200 registered users

• 250 million streams per month
• 20 million unique view...
Getting Data In
• 33 ingestible web feeds
– Content editors
– Web page listings

• Batch video ingest API
– Video content ...
System Overview
User
Input

Ingest
API

Amazon
CloudSearch

Search Util

DAM (Merlin)

Workflow
Service

Content
API

Amaz...
Basic Workflow
• Object registered with Merlin
• Images registered and processed with ITS
– Stored in CDN fronted Amazon S...
Making It Discoverable
• Search util service
• Runs every hour
– Re-indexes last several hours each time

• Polls APIs
– C...
Search Considerations
• Hidden objects
• Rights management
• Partitioned search
– Local station search
– Results by geo
– ...
Challenges
• No native time field
– Convert dates to integers
– Epoch time

• Versioning of documents
– Epoch for versioni...
Search Consumers (PBS.org)

Site Search
Search Consumers (Video Portal)

Site Search

Programs A-Z
Xbox / OTT
Summary
Summary
• Build an enterprise-scale DAM platform now
– Managed storage and archive (Amazon S3, Amazon Glacier)
– Managed d...
AWS Marketplace Can Help
•

AWS online software store
–
–
–
–
–

•

Customer can find, research, buy software
Simple prici...
“DAM!”
Please give us your feedback on this
presentation
MED-402 Building a Scalable Video /
DAM Solution in the Cloud

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Building a Scalable Digital Asset Management Platform in the Cloud (MED402) | AWS re:Invent 2013

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With the breadth of AWS services available that are relevant to digital media, organizations can readily build out complete content/asset management (DAM/MAM/CMS) solutions in the cloud. This session provides a detailed walkthrough for implementing a scalable, rich-media asset management platform capable of supporting a variety of industry use cases. The session includes code-level walkthrough, AWS architecture strategies, and integration best practices for content storage, metadata processing, discovery, and overall library management functionality—with particular focus on the use of Amazon S3, Amazon Elastic Transcoder, Amazon DynamoDB and Amazon CloudSearch. Customer case study will highlight successful usage of Amazon CloudSearch by PBS to enable rich discovery of programming content across the breadth of their network catalog.

Published in: Technology

Transcript of "Building a Scalable Digital Asset Management Platform in the Cloud (MED402) | AWS re:Invent 2013"

  1. 1. MED402: Building a Scalable Video / Digital Asset Management (DAM) Platform in the Cloud Michael Limcaco – Enterprise Solutions Architect (AWS) Jonathan Rivers – Director, Technical Operations (PBS) November 15, 2013 © 2013 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified, or distributed in whole or in part without the express consent of Amazon.com, Inc.
  2. 2. Agenda • • • • • The big picture Architecture Build-out exercise Customer case study (PBS) Observations and summary
  3. 3. Big Picture: Enterprise Media Architecture Integrated Workflow RTMP MPEG-TS Live Stream Media Files Content Management, Discovery & Delivery Physical Media Transcoders Camera HD-SDI Store output profile and file Store output profile and file
  4. 4. Big Picture: Digital Asset Management (DAM) Integrated Workflow RTMP MPEG-TS Live Stream Media Files Content Management, Discovery, & Delivery Physical Media DAM Transcoders Camera HD-SDI Store output profile and file Store output profile and file
  5. 5. Workflow Management Ingest Processing Storage Discovery & Delivery
  6. 6. Workflow Management Ingest Processing Storage Discovery & Delivery
  7. 7. Key DAM Requirements • • • • • • • Ingest Metadata extraction Create renditions Build the catalog Enable rich search Manage storage lifecycle Provide efficient delivery of media assets
  8. 8. Key DAM Requirements • • • • • • • Ingest Metadata extraction Create renditions Build the catalog Enable rich search Manage storage lifecycle Provide efficient delivery of media assets
  9. 9. Key DAM Requirements • • • • • • • Ingest Metadata extraction Create renditions Build the catalog Enable rich search Manage storage lifecycle Provide efficient delivery of media assets
  10. 10. Why Scalable? • Increasing volume, variety, velocity – Collectors, cameras, sensors and sources • Ex: UGC, raw source, Mezzanine, B-roll, creative collateral • Final content – Formats and standards • Transport, containers, codecs, metadata • SD, HD, 4K …. 8K – Devices and user expectations • Opportunities through cloud enablement – Media platform as a service – Multitenancy
  11. 11. What about Search? Ugh … • Core elements – Project, keyword, asset name, tags, date/time capture, timecode range, subject, format, size • Extended structured search – Dublin core, XMP, MPEG-7, IPTC, EXIF, FCXML, SMPTE, MISB • Unstructured search – Comments, notes, transcript, closed captioning
  12. 12. Enough Theory … Let’s Build a DAM in the Cloud!
  13. 13. (Demo) The User Experience (Notional Reference Client)
  14. 14. Architecture
  15. 15. Delivery Cache DAM Storage & S3 Buckets Archive For Renditions, Mailbox Event Handler DAM Web Service DAM Interface AWS Beanstalk Rendition Processing Metadata Sidecar Files EC2 Workers Auto scaling Group DynamoDB Catalog Mailbox Metadata Processing EC2 Workers Auto scaling Group Amazon CloudSearch
  16. 16. Delivery Cache DAM Storage & S3 Buckets Archive For Renditions, Mailbox Event Handler DAM Web Service DAM Web Interface AWS Beanstalk Rendition Processing Metadata Sidecar Files EC2 Workers Auto scaling Group DynamoDB Catalog Mailbox Metadata Processing EC2 Workers Auto scaling Group Amazon CloudSearch
  17. 17. Delivery Cache DAM Storage & S3 Buckets Archive For Renditions, Mailbox Event Handler DAM Web Service DAM Web Interface AWS Beanstalk Rendition Processing Metadata Sidecar Files EC2 Workers Auto scaling Group DynamoDB Catalog Mailbox Metadata Processing EC2 Workers Auto scaling Group Amazon CloudSearch
  18. 18. Delivery Cache DAM Storage & S3 Buckets Archive For Renditions, Mailbox Event Handler DAM Web Service DAM Web Interface AWS Beanstalk Rendition Processing Metadata Sidecar Files EC2 Workers Auto scaling Group DynamoDB Catalog Mailbox Metadata Processing EC2 Workers Auto scaling Group Amazon CloudSearch
  19. 19. Delivery Cache DAM Storage & S3 Buckets Archive For Renditions, Mailbox Event Handler DAM Web Service DAM Web Interface AWS Beanstalk Rendition Processing Metadata Sidecar Files EC2 Workers Auto scaling Group DynamoDB Catalog Mailbox Metadata Processing EC2 Workers Auto scaling Group Amazon CloudSearch
  20. 20. Delivery Cache DAM Storage & S3 Buckets Archive For Renditions, Mailbox Event Handler DAM Web Service DAM Interface AWS Beanstalk Rendition Processing Metadata Sidecar Files EC2 Workers Auto scaling Group DynamoDB Catalog Mailbox Metadata Processing EC2 Workers Auto scaling Group Amazon CloudSearch
  21. 21. Delivery Cache DAM Storage & S3 Buckets Archive For Renditions, Mailbox Event Handler DAM Web Service DAM Interface AWS Beanstalk Rendition Processing Metadata Sidecar Files EC2 Workers Auto scaling Group DynamoDB Catalog Mailbox Metadata Processing EC2 Workers Auto scaling Group Amazon CloudSearch
  22. 22. Tools Available to Us Need Description AWS Service Ingest Integrate w / existing file-based workflows Amazon S3 Metadata Process inline and sidecar files EC2 / Elastic Beanstalk Renditions Autogenerate thumbnails and proxies Amazon Elastic Transcoder Catalog part 1 Administrative entities, simple retrieval Amazon DynamoDB Catalog part 2 Field and free-form search Amazon CloudSearch Storage Nearline, online, offline infinite storage Amazon S3, Amazon Glacier Delivery Global caching and streaming footprint Amazon CloudFront
  23. 23. Catalog: A word on why DynamoDB Container-A Header NoSQL Data Model Layer-2 Core Elem1 Core Elem2 Elem from A Name_A Size Some_Field Name_B Size Name_C Layer-1 Size Container-B Header Container-C Layer-1 Header Layer-2 Elem from B Some_Field
  24. 24. Catalog: A Word on Why CloudSearch • Video and text – Header fields with textual descriptions, synopsis, comments – Tracks with speech to text, closed caption data – Links to scripts • Video and structured elements – XMP dynamic media – Sidecar files • A managed search engine dedicated to these kinds of problems – Case folding, stemming, stopword removal, synonyms – Also accent normalization, UTF-8 normalization, etc.
  25. 25. Other Goodies • Back-end services – AWS CLI – Open source decode utilities • EXIFtool • MediaInfo – ETL support • Talend (representative) • Front-end services – Node.js + AWS Node SDK
  26. 26. Delivery Cache DAM Storage & S3 Buckets Archive For Renditions, Mailbox Event Handler DAM Web Service DAM Interface AWS Beanstalk Rendition Processing Metadata Sidecar Files EC2 Workers Auto scaling Group DynamoDB Catalog Mailbox Metadata Processing EC2 Workers Auto scaling Group Amazon CloudSearch
  27. 27. CloudFront Download Distribution Media Content Amazon S3 Storage For Source, Renditions, Metadata Sidecar Files EC2 Crawler EC2 ASG Amazon SQS Queue Rendition Jobs Rendition Workers Elastic Transcoder Proxy / Thumbnail Generation DAM Catalog Amazon DynamoDB Amazon SNS Topic DAM Web Service Amazon SQS Queue Metadata Processing Jobs AWS Elastic Beanstalk EC2 ASG Metadata Workers Amazon CloudSearch
  28. 28. (Dual Screen) Walkthrough
  29. 29. Setup • Amazon Simple Storage Service (S3) buckets ready to go – External staging locations – Internal working locations • Amazon Simple Notification Service (SNS) + Amazon Simple Queue Service (SQS) wired up • Catalog data models established – Amazon DynamoDB table “catalog” created – Amazon CloudSearch search domain “catalog” created
  30. 30. 1. Ingest, Crawl, Notify a. b. c. d. End user initiates data copy EC2 worker scans Amazon S3 staging bucket EC2 worker copies or moves content EC2 worker broadcasts “NEW DATA” event
  31. 31. CloudFront Download Distribution Media Content Amazon S3 Storage For Source, Renditions, Metadata Sidecar Files EC2 Crawler EC2 ASG SQS Queue Rendition Jobs Rendition Workers Elastic Transcoder Proxy / Thumbnail Generation DAM Catalog Amazon DynamoDB Amazon SNS Topic DAM Web Service SQS Queue Metadata Processing Jobs AWS Elastic Beanstalk EC2 ASG Metadata Workers Amazon CloudSearch
  32. 32. CloudFront Download Distribution Media Content Amazon S3 Storage For Source, Renditions, Metadata Sidecar Files EC2 Crawler EC2 ASG SQS Queue Rendition Jobs Rendition Workers Elastic Transcoder Proxy / Thumbnail Generation DAM Catalog Amazon DynamoDB Amazon SNS Topic DAM Web Service SQS Queue Metadata Processing Jobs AWS Elastic Beanstalk EC2 ASG Metadata Workers Amazon CloudSearch
  33. 33. CloudFront Download Distribution Media Content Amazon S3 Storage For Source, Renditions, Metadata Sidecar Files EC2 Crawler EC2 ASG SQS Queue Rendition Jobs Rendition Workers Elastic Transcoder Proxy / Thumbnail Generation DAM Catalog Amazon DynamoDB Amazon SNS Topic DAM Web Service SQS Queue Metadata Processing Jobs AWS Elastic Beanstalk EC2 ASG Metadata Workers Amazon CloudSearch
  34. 34. CloudFront Download Distribution Media Content Amazon S3 Storage For Source, Renditions, Metadata Sidecar Files EC2 Crawler EC2 ASG SQS Queue Rendition Jobs Rendition Workers Elastic Transcoder Proxy / Thumbnail Generation DAM Catalog Amazon DynamoDB Amazon SNS Topic DAM Web Service SQS Queue Metadata Processing Jobs AWS Elastic Beanstalk EC2 ASG Metadata Workers Amazon CloudSearch
  35. 35. CloudFront Download Distribution Media Content Amazon S3 Storage For Source, Renditions, Metadata Sidecar Files EC2 Crawler EC2 ASG SQS Queue Rendition Jobs Rendition Workers Elastic Transcoder Proxy / Thumbnail Generation DAM Catalog Amazon DynamoDB Amazon SNS Topic DAM Web Service SQS Queue Metadata Processing Jobs AWS Elastic Beanstalk EC2 ASG Metadata Workers Amazon CloudSearch
  36. 36. 1. Ingest, Crawl, Notify a. b. c. d. End user initiates data copy EC2 worker scans Amazon S3 staging bucket EC2 worker copies or moves content EC2 worker broadcasts “NEW DATA” event (SNS)
  37. 37. 2. Metadata Extraction a. EC2 worker polls inbox (SQS) b. EC2 worker pulls down media asset from Amazon S3 c. EC2 worker parses media files d. EC2 worker pumps metadata through ETL flow to prepare for catalog insertion e. EC2 worker inserts into catalog (Amazon DynamoDB)
  38. 38. CloudFront Download Distribution Media Content Amazon S3 Storage For Source, Renditions, Metadata Sidecar Files EC2 Crawler EC2 ASG SQS Queue Rendition Jobs Rendition Workers Elastic Transcoder Proxy / Thumbnail Generation DAM Catalog Amazon DynamoDB Amazon SNS Topic DAM Web Service SQS Queue Metadata Processing Jobs AWS Elastic Beanstalk EC2 ASG Metadata Workers Amazon CloudSearch
  39. 39. CloudFront Download Distribution Media Content Amazon S3 Storage For Source, Renditions, Metadata Sidecar Files EC2 Crawler EC2 ASG SQS Queue Rendition Jobs Rendition Workers Elastic Transcoder Proxy / Thumbnail Generation DAM Catalog Amazon DynamoDB Amazon SNS Topic DAM Web Service SQS Queue Metadata Processing Jobs AWS Elastic Beanstalk EC2 ASG Metadata Workers Amazon CloudSearch
  40. 40. 2. Metadata Extraction a. EC2 worker polls inbox (SQS) b. EC2 worker pulls down media asset from Amazon S3 c. EC2 worker parses media files d. EC2 worker pumps metadata through ETL flow to prepare for catalog insertion e. EC2 worker inserts into catalog (Amazon DynamoDB)
  41. 41. Preparing for Amazon DynamoDB Insert { "COMPLETE_NAME" : { "S" : "01_01_SoccerF_05_A.mp4" }, "FORMAT" : { "S" : "MPEG-4" }, "CODEC_ID" : { "S" : "mp42" } }
  42. 42. Model It and Deploy to EC2! (Talend)
  43. 43. 3. Catalog Processing a. Store metadata record in Amazon DynamoDB b. Reflect searchable subset to Amazon CloudSearch c. Go crazy (HTTP GET)
  44. 44. CloudFront Download Distribution Media Content Amazon S3 Storage For Source, Renditions, Metadata Sidecar Files EC2 Crawler EC2 ASG SQS Queue Rendition Jobs Rendition Workers Elastic Transcoder Proxy / Thumbnail Generation DAM Catalog Amazon DynamoDB Amazon SNS Topic DAM Web Service SQS Queue Metadata Processing Jobs AWS Elastic Beanstalk EC2 ASG Metadata Workers Amazon CloudSearch
  45. 45. CloudFront Download Distribution Media Content Amazon S3 Storage For Source, Renditions, Metadata Sidecar Files EC2 Crawler EC2 ASG SQS Queue Rendition Jobs Rendition Workers Elastic Transcoder Proxy / Thumbnail Generation DAM Catalog Amazon DynamoDB 1 Amazon SNS Topic DAM Web Service SQS Queue Metadata Processing Jobs AWS Elastic Beanstalk EC2 ASG 2 Metadata Workers Amazon CloudSearch
  46. 46. Querying the Catalog (Amazon CloudSearch) • http://cloudsearch.demo.aws.com/2011-0201/search?bq=complete_name : …<field=value> • In Node.js var optionsget host : port : path : = { 'cloudsearch.demo.aws.com', // here only the domain name 80, '/2011-02-01/search?bq=complete_name:'-STRAWBERRY'& return-fields=complete_name,text_relevance,codec_id_info, duration,file_size, duration,encoded_date', method : 'GET' }
  47. 47. Customer Case Study (PBS)
  48. 48. Merlin: PBS CMS/DAM • Code name Merlin • Structured metadata • 200+ web object records daily – 29,046 web objects • 150+ Video objects daily – 91,436 videos • Users from over 150 stations 30 national producers – Frontline – Downton Abbey – PBS Newshour
  49. 49. What’s It Do? • Large multitenant system – 1200 registered users • 250 million streams per month • 20 million unique viewers • 8 PB of video delivered monthly
  50. 50. Getting Data In • 33 ingestible web feeds – Content editors – Web page listings • Batch video ingest API – Video content editors – External workflow integration • Manually entered videos – Video content editors from all 50 states – Number of user accounts
  51. 51. System Overview User Input Ingest API Amazon CloudSearch Search Util DAM (Merlin) Workflow Service Content API Amazon SWF RSS Amazon RDS Amazon S3 CDN Amazon RDS
  52. 52. Basic Workflow • Object registered with Merlin • Images registered and processed with ITS – Stored in CDN fronted Amazon S3 bucket • Videos registered with VTS – Jobs sent to Zencoder for processing – Video stored in CDN fronted Amazon S3 bucket • Objects ready for clients – Objects rendered for consumption in Amazon S3 – Objects registered with APIs – Objects discoverable
  53. 53. Making It Discoverable • Search util service • Runs every hour – Re-indexes last several hours each time • Polls APIs – Content API – Modified time • Updates Amazon CloudSearch index – 2 primary indexes
  54. 54. Search Considerations • Hidden objects • Rights management • Partitioned search – Local station search – Results by geo – Restrict results for international customers • Unify and normalize existing APIs – Flatten data model • Users looking for programs – Specific searches – Suitable for structured data
  55. 55. Challenges • No native time field – Convert dates to integers – Epoch time • Versioning of documents – Epoch for versioning • Exposing two versions of most fields – Text searchable – Facets (copy of text version)
  56. 56. Search Consumers (PBS.org) Site Search
  57. 57. Search Consumers (Video Portal) Site Search Programs A-Z
  58. 58. Xbox / OTT
  59. 59. Summary
  60. 60. Summary • Build an enterprise-scale DAM platform now – Managed storage and archive (Amazon S3, Amazon Glacier) – Managed database for catalog processing (Amazon DynamoDB, Amazon Relational Database Service [RDS]) – Managed search (CloudSearch) • Application development accelerators – Elastic Beanstalk harness (web, API, and worker roles) – Reduced effort with the AWS CLI • (Almost) fire and forget
  61. 61. AWS Marketplace Can Help • AWS online software store – – – – – • Customer can find, research, buy software Simple pricing, aligns with EC2 usage model 1-click launch in minutes Marketplace billing integrated into your AWS account 1,000+ products across 24 categories Digital asset management related options Include: – – – – WebDAM – centralize, store, manage and distribute collateral Digital asset management cloud – web-based open source DAM Widen – manage and distribute digital media and brand assets with user roles and permissions Adobe Experience Manager – unified asset management including mobile Learn more at: http://aws.amazon.com/marketplace
  62. 62. “DAM!”
  63. 63. Please give us your feedback on this presentation MED-402 Building a Scalable Video / DAM Solution in the Cloud As a thank you, we will select prize winners daily for completed surveys!
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