CTD303_Korea’s Largest OTT provider

© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Case Study: POOQ
Korea’s Largest OTT provider
B r o a d c a s t s m o r e t h a n s i x t y f i v e , 2 4 / 7 L I V E c h a n n e l s ,
A l l u s i n g A W S S e r v i c e s
F e l i x C h o – C T O , C o n t e n t A l l i a n c e P l a t f o r m
K i W a o n K i m – S o l u t i o n s A r c h i t e c t , A m a z o n W e b S e r v i c e s
C T D 3 0 3

Agenda
Building OTT services on AWS
Brief introduction of “POOQ”
Platform evolution history
Head End platform on AWS
Pooq 3.0, UHD & Beyond

MEDIA workloads on AWS……

Okay, Benefits for OTT on AWS?
• Move faster, allow AWS to invest on storage, compute
• Try every idea, reduce time-to-market, drive up quickly
• Scale and don’t build for the weekly 2 hour peak
• Invest in Content
• Ingest near content owner, serve close to consumer
• Use resources for customer impacting features

AWS has full set of features for OTT
• File Transcoding (Elastic Transcoder, Elemental Server)
• Live Transcoding (Elemental Live)
• DNS (Route 53)
• Content Caching close to the consumers (CDN; CloudFront)
• Security Services (AWS Shield, WAF, …)
• Computing Resources (EC2, Lambda, ECS, Lambda@Edge,…)
• Storage Options (S3, EFS, EBS, …)
• And… Serverless components (Step Functions, DynamoDB, SQS, …)

Well architected live streaming on AWS
https://aws.amazon.com/answers/media-entertainment/live-streaming/

Video on Demand on AWS - Serverless
https://aws.amazon.com/answers/media-entertainment/video-on-demand-on-aws/

Building OTT service on AWS
• Quickly Start from AWS CloudFormation templates
• Innovation through AI services (Amazon Rekognition, Amazon Polly, etc.)
• Fast improvement via CI/CD, using AWS code series services & 3rd party tools
• Easily build global services using AWS Edge Services (CloudFront, Route 53, …)
• Build Content/Data Lake on S3 for personalized content recommendation
• Adopt new media technologies quickly by your own hands
• Learn from real cases.

Introducing Korea’s #1 OTT Player – POOQ
Felix Cho, CTO of Content Alliance Platform

POOQ is OTT provider
Joint venture between all 3 terrestrial broadcasting company
KBS, MBC, SBS
Founded at May 2012
Serving (As of Oct. 2017)
64 Live Broadcasting stream
Over 160,000 VOD streaming
About 6,000 Movie streaming
About 620,000 Paid subscriber
(Average price is USD $9 per customer)
About 3,000,000 Registered users
(We have ad-based streaming options)
#1 Player on Korean OTT market

POOQ: Home Screen
Full List:
Dynamic contents curation via ‘multi-band’ API call

POOQ
VOD: my watch list
Live: my channel list
VOD: Popular list

POOQ
Curated list
Live: Popular channel list

POOQ
Curated Special Topic section
VOD: Latest list
Home Shopping Live
list

POOQ
VOD: Popular Drama list
VOD: Popular Entertainment
list
VOD: Popular Talk Show
& Documentary list

POOQ
Radio: Popular Radio Channel list
VOD: Popular International
Drama list
VOD: Popular International
Documentary list

POOQ
Movie: Curated list
VOD: Curated animation list

POOQ
VOD: Kids recommendation list
Movie: All you can watch list

POOQ
Movie: Machine learning based
recommendation list
Movie: Curated list

POOQ
Movie: Curated list
Cross device resume streaming

POOQ

POOQ on multiple devices
PC Web
Mobile Web
Android App
Android OTT App (Google TV Platform)
iOS App
Samsung Smart TV App
LG Smart TV App
With supporting Chromecast

Platform Evolution History

POOQ 1.0: May 2012
Typical 3-tier Web service platform on IDC
CDN & media handling was fully outsourced
Note : Initial JV start with 2 different language base (from 2 different broadcasting company)
PC Browser
(Server
Rendering)
ASP.Net
Web Server
MS-SQL
Database
Meta
Ingestion
Mobile Client
Mobile API
Server (Java)
Streaming
H/E
CDN
Media
Ingestion

POOQ 1.0
Serve initial purpose
Start exposing problems
by subscriber growth and functional addition
Database resource got saturated,
local cache had it’s limitation
No staging environment
everything was real
ASP.Net Web Server & Java API Server makes
own implementation for same business logic
Not easy make it consistent
PC Browser
(Server
Rendering)
ASP.Net
Web Server
MS-SQL
Database
Meta
Ingestion
Mobile
Client
Mobile API
Server
(Java)
Streaming
H/E
CDN
Media
Ingestion

POOQ 1.0
Scaling problem
IDC & RDBMS makes it pretty difficult
Limited functionality
No personalization
No user behavior data analysis
No recommendation, …etc.
PC Browser
(Server
Rendering)
ASP.Net
Web Server
MS-SQL
Database
Meta
Ingestion
Mobile
Client
Mobile API
Server
(Java)
Streaming
H/E
CDN
Media
Ingestion

POOQ 2.0: June 2015
Project started at Nov. 2014
Goal: Cloud, Die hard platform, Personalization, API unification
PC Browser
(Client
Rendering)
ASP.Net
API Server
MS-SQL
Database
Meta Ingestion
Mobile Client
Streaming
H/E
CDN
Media
Ingestion
Member
Mongo DB
Cluster
Meta
Mongo DB
Cluster
User
Behavior
Data
Collector
Kettle
ETL
Batch
Cassandra
DB
Data Sync
Spark
Analysis
Smart TV
Client
Datamart
Mongo DB
Cluster

POOQ 2.0
Swagger based API (https://api20-docs.pooq.co.kr/)

POOQ 2.0
From IDC to cloud
Not AWS, no AWS Korea at the time
Korean Privacy Law prohibit transfer personal
information to other country (No cross border)
Scale well
Highest score was 280,000 users
Personalization
User Analysis (Based on user viewing information collection for every 10 sec.)
Recommendation
Cross device streaming resume
API Unification
Single implementation for single business logic
PC Browser
(Client
Rendering) ASP.N
et
API
Server
MS-SQL
Database
Meta
Ingestion
Mobile Client
Streaming
H/ECDN
Media
Ingestion
Member
Mongo DB
Cluster
Meta
Mongo DB
Cluster
User
Behavior
Data
Collector
Kettle
ETL
Batch
Cassandra
DB
Data Sync
Spark
Analysi
s
Smart TV
Client
Datamart
Mongo DB
Cluster

POOQ 2.0 – Under the hood
API Unification
Swagger based API design & documentation
Swagger -> Github -> Jenkins CI workflow
Mock data vs. Real data
PC Browser
(Client
Rendering) ASP.N
et
API
Server
MS-SQL
Database
Meta
Ingestion
Mobile Client
Streaming
H/ECDN
Media
Ingestion
Member
Mongo DB
Cluster
Meta
Mongo DB
Cluster
User
Behavior
Data
Collector
Kettle
ETL
Batch
Cassandra
DB
Data Sync
Spark
Analysi
s
Smart TV
Client
Datamart
Mongo DB
Cluster
ASP.Net
API Server

Migration from RDBMS to NoSQL
Multiple node mongo DB clusters
Much better data resource bandwidth
ETL tooling
Rapid & reliable implementation of data transfer
PC Browser
(Client
Rendering) ASP.N
et
API
Server
MS-SQL
Database
Meta
Ingestion
Mobile Client
Streaming
H/ECDN
Media
Ingestion
Member
Mongo DB
Cluster
Meta
Mongo DB
Cluster
User
Behavior
Data
Collector
Kettle
ETL
Batch
Cassandra
DB
Data Sync
Spark
Analysi
s
Smart TV
Client
Datamart
Mongo DB
Cluster
MS-SQL
Database
Member
Mongo DB
Cluster
Meta Mongo
DB
Cluster
Kettle ETL
Batch
Data Sync

User Behavior Data Collector
Proprietary implementation
Collects user’s streaming status information for
every 10 sec.
Stored on Apache Cassandra DB
About 7TByte/Day
User Analysis
Cross device streaming resume
Recommendations (Using Apache Spark Mllib)
My View list management
Service Analysis
About 50 types of business supporting
data matrix report generation
PC Browser
(Client
Rendering) ASP.N
et
API
Server
MS-SQL
Database
Meta
Ingestion
Mobile Client
Streaming
H/ECDN
Media
Ingestion
Member
Mongo DB
Cluster
Meta
Mongo DB
Cluster
User
Behavior
Data
Collector
Kettle
ETL
Batch
Cassandra
DB
Data Sync
Spark
Analysi
s
Smart TV
Client
Datamart
Mongo DB
Cluster
User
Behavior
Data
Collector
Cassandra DB Spark
Analysis
Datamart
Mongo DB
Cluster

POOQ 2.0 – The Result
WBSC Premier 12 Semifinal
Korea vs. Japan
551G CDN
280K Users

POOQ 2.0 –Move to AWS, February, 2017
Reason: Better platform feature, Better management tools
Took a month for migration
Most time consuming task was data migration, server migration was smooth

Head End Platform on AWS

Head End Platform: November 2016
Project started 3Q, 2016
First platform hosted on AWS
Business and functional requirement to have own head end rises
Desire for better service quality and diversification
UHD/4K readiness
Supported protocol: HLS, MPEG-DASH
Supported codec: AVC(H.264), HEVC(H.265)
Supported DRM: Widevine Classic, Widevine Module, Play Ready, Fair Play
Support VBR streaming

Head End Platform: Transcoding Setup
Type Resolution Codec Bitrate Profile Frame Rate Note
Mobile
360p
480x270 H.264 250Kbps
Main 29.97fps
Chunk: 2 second
GOP: 60 Frame,
Closed
640x360
H.264 500Kbps
HEVC 300Kbps
General
480p
854x480
H.264 1Mbps
HEVC 600Kbps
High
720p
1280x720
H.264 2Mbps
HEVC 1.2Mbps
Super
1080p
1920x1080
H.264 5Mbps
HEVC 3Mbps

Head End Platform: Live Streaming
With AWS Elemental Live encoder
Handles 64 Live streaming including audio-only channels
Supporting: Live HLS, MPEG-DASH
Client
AWS
Elemental
Live
External
Live Feed
(RTMP)
AWS Live
S3 bucket
Protocol
Muxer
Live Proxy,
Manifest
Generator
AWS Live
Streaming
CF
Live
Thumbnai
l
Generator
AWS Live
Thumbnai
l CF
External
Radio Feed
(RTMP)
Wowza
Radio
DVR

Live Streaming – Under the hood
Live Feed & Elemental Live Encoder
Receive feed from CP, as RTMP single stream
Elemental Live Encoder transcode into
multiple bit rate x screen resolution
With master/backup transcoding
Store on S3 – master & backup copy
Client
AWS
Elemental
Live
External Live
Feed
(RTMP)
AWS Live
S3 bucket
Protocol
Muxer
Live Proxy,
Manifest
Generator
AWS Live
Streaming
CF
Live
Thumbnail
Generator
AWS Live
Thumbnail
CF
External
Radio Feed
(RTMP)
WowzaRadio DVR
AWS
Elemental
Live
External Live
Feed
(RTMP)
AWS Live S3
bucket

Protocol Muxer
For HLS, timestamp adjustment
For MPEG-DASH, convert TS into Fragmented MP4
Switch between master & backup for uninterrupted
Service
Live contents blocking for streaming rights control
Uninterrupted streaming with master & backup source switching.
Client
AWS
Elemental
Live
External Live
Feed
(RTMP)
AWS Live
S3 bucket
Protocol
Muxer
Live Proxy,
Manifest
Generator
AWS Live
Streaming
CF
Live
Thumbnail
Generator
AWS Live
Thumbnail
CF
External
Radio Feed
(RTMP)
WowzaRadio DVR
Protocol Muxer

Live Proxy & Manifest Generator
Act as CloudFront’s end point
Also generate live m3u8 manifest file on the fly
Client
AWS
Elemental
Live
External Live
Feed
(RTMP)
AWS Live
S3 bucket
Protocol
Muxer
Live Proxy,
Manifest
Generator
AWS Live
Streaming
CF
Live
Thumbnail
Generator
AWS Live
Thumbnail
CF
External
Radio Feed
(RTMP)
WowzaRadio DVR
Live Proxy,
Manifest
Generator

Radio channels
Elemental Live Encoder does not support
audio only
(As of implementation time)
Dedicated wowza server & DVR to generate TS files
Client
AWS
Elemental
Live
External Live
Feed
(RTMP)
AWS Live
S3 bucket
Protocol
Muxer
Live Proxy,
Manifest
Generator
AWS Live
Streaming
CF
Live
Thumbnail
Generator
AWS Live
Thumbnail
CF
External
Radio Feed
(RTMP)
WowzaRadio DVR
External Radio
Feed
(RTMP)
WowzaRadio DVR

Live Thumbnails
Generate Screen snapshot image for client display Client
AWS
Elemental
Live
External Live
Feed
(RTMP)
AWS Live
S3 bucket
Protocol
Muxer
Live Proxy,
Manifest
Generator
AWS Live
Streaming
CF
Live
Thumbnail
Generator
AWS Live
Thumbnail
CF
External
Radio Feed
(RTMP)
WowzaRadio DVR
Live Thumbnail
Generator

Live: OnAir VOD
VOD service while broadcasting online
Using stored TS chunk & end time update API
Keep live TS for up to 1 month, control per channel
Client
Player
AWS
CF
OnAir
API
Live TS on S3
(real-time adding)
Long m3u8
(2hr for drama)
1) Start as normal HLS
streaming
2) Ask for how far it can
stream
3) Response: stream for
specific end time
Contains pre-defined TS
name list

Head End Platform: VOD
With proprietary VOD Ingest Worker (Based on FFMPEG)
Session-based watermarking technology
Client
VOD
Ingest
Worker
TV VOD
(HTTP Pull)
AWS Vod
S3
bucket
AWS VOD
Streaming CF
Movie
Watermarkin
g Embedder
Movie
VOD
(FTP Push)
Movie
Ingest
G/W
Signed URL
Generator

VOD – Under the hood
VOD Ingest
HTTP Pull for TV VOD
FTP Push for Movie
Based on different business requirement
Clien
t
VOD
Ingest
Worker
TV VOD
(HTTP Pull)
AWS
Vod S3
bucket
AWS VOD
Streaming CF
Movie
Watermarkin
g Embedder
Movie
VOD
(FTP Push)
Movie
Ingest
G/W
Signed URL
Generator
TV VOD
(HTTP Pull)
Movie VOD
(FTP Push)
Movie
Ingest G/W

VOD Ingest Worker
Proprietary transcoder based on FFMPEG
Transcode single source into multiple
bit rate X resolution with VBR support
Utilize AWS Spot instance for cost-effectiveness
Try with 2 C4 & 2 M4 instance, whichever
cheaper
Clien
t
VOD
Ingest
Worker
TV VOD
(HTTP Pull)
AWS
Vod S3
bucket
AWS VOD
Streaming CF
Movie
Watermarkin
g Embedder
Movie
VOD
(FTP Push)
Movie
Ingest
G/W
Signed URL
Generator
VOD Ingest
Worker

VOD S3 Bucket
Store Segmented files
Per bitrate, resolution
This makes streaming quite easy
– everything is ready
Clien
t
VOD
Ingest
Worker
TV VOD
(HTTP Pull)
AWS
Vod S3
bucket
AWS VOD
Streaming CF
Movie
Watermarkin
g Embedder
Movie
VOD
(FTP Push)
Movie
Ingest
G/W
Signed URL
Generator
AWS Vod S3
bucket

VOD Watermarking Embedder
Session based watermarking
Can identify which user captured at post mortem
Clien
t
VOD
Ingest
Worker
TV VOD
(HTTP Pull)
AWS
Vod S3
bucket
AWS VOD
Streaming CF
Movie
Watermarkin
g Embedder
Movie
VOD
(FTP Push)
Movie
Ingest
G/W
Signed URL
Generator
TS with bit ‘1’ Embedded
AWS
CF
Client
Movie
Watermarkin
gEmbedder
TS with bit ‘0’ Embedded
User Information
embedded streaming
Movie
Watermarking
Embedder

Signed URL Generator
Some client device cannot use Signed Cookie
Clien
t
VOD
Ingest
Worker
TV VOD
(HTTP Pull)
AWS
Vod S3
bucket
AWS VOD
Streaming CF
Movie
Watermarkin
g Embedder
Movie
VOD
(FTP Push)
Movie
Ingest
G/W
Signed URL
Generator
Signed URL Generator

Head End Platform – Behind Story
First Korean customer case for Elemental Cloud Live
Also, this was first time using CloudFront for us
Lots of hiccups during implementation
So let’s talk about it

Behind Story: Mobile Network Throttling
All Korean mobile operators implement network bandwidth throttling to limit customer’s daily/monthly
usage
One company implemented in strange way
Customer on that mobile network could not stream, lots of buffering
Looks like they are using transparent proxy
Time
Bandwidth
Limit
Time
Bandwidth
Limit
Normal way Funny way
This was not happening when we were using that company’s CDN
Solution: Make all streaming as HTTPS & VBR

Behind Story: Securing streaming
Initially, client IP address was part of authentication with CloudFront’s signed cookie and signed URL
Got complaint from certain customers who works for government: Unable to stream
Investigation reveal interesting fact: Government office has interesting proxy/firewall scheme
AWS
CF
Government
Office
Security
Module
Customer at
government
officeBrowsing &
Streaming
Request using
multiple
Public IP
randomly
Solution: Solved. Restriction apply with C class IP block.

Behind Story: Streaming Incompatible
Several incoming RTMP streaming cause trouble with Elemental Live Encoder
Further investigation reveals that quite many encoder/transcoder installed by CPs are transmitting non -
standard data inside streaming.
Elemental
Live Encoder
CP’s Encoder
RTMP Streaming
With faulty data
Solution: With dedicated support from Elemental’s support, situation had solved with software patch
(On Elemental Cloud Encoder)

Behind Story: Cross border streaming
Some Internet provider/mobile provider’s network was not working with CloudFront.
LAX, NRT, HKG CloudFront Edges are getting hit. Lots of buffered streaming.
Client
ICN
Suspected some DNS server’s configuration was not correct.
However neither Contents Alliance Planform nor AWS has power to change it.
Solution: Not 100% solved. Gets better with AWS’s CloudFront tweaking.
With ABR streaming, now customer almost not able to notice if it happens.
Inside Korea
HKG
NRT
LAX
Abnormal

Well documented
Decent engineering support in general
Stable and mature
If something is not working,
probably we did it wrong
Absent of local support engineer
Problem solving tend to be slow
Lack of notice/announcement about system upgrade
Caused streaming breakdown
Could not prepare/monitor beforehand
C o n sP r o s
CloudFront: Pros & Cons

POOQ 3.0, UHD & Beyond

POOQ 3.0: ETA March 2018
Project started at September 2017
Goal: Docker, Microservice, Message Event Based Architecture, Flexible Marketing, Machine Learning
PC Browser
(Client
Rendering)
Meta
Ingestion
Mobile
Client
POOQ Streaming H/E
Media
Ingestion
Data Sync
Smart TV
Client
AWSCF
Kubernetes
Kong
API
API
…
Member
MongoDB
Contents
MongoDB
User Behavior
Data Collector
ApacheKafka
MessageBroker
Member
MSSQL
Machine
Learning
Contents
MariaDB
Marketing
MongoDB
Cassandra
DB
DataLake
S3
Kettle
ETL
Marketing
Engine
AWS EMR
Data
Analysis
Marketing
Planner

Docker based Microservice
Increase development & deploy efficiency
Auto scale on different level
Polyglot development environment
Circuit Breaker, Local Cache in framework
Select 5 languages: Java, C#, Javascript, Python, Golang
Kubernetes
Open Source
Operation Team’s favorite
Kong API Gateway
Initially AWS API Gateway was selected
Hit maximum of 50 LBs per VPC (Kubernetes with AWS API Gateway case)
Had to look for other way and select Kong
PC Browser
(Client
Rendering)
Meta
Ingestion
Mobile
Client
POOQ Streaming H/E
Media
Ingestion
Data Sync
Smart TV
Client
AWSCF
Kubernetes
Kon
g
API
API
…
Member
MongoD
B
Contents
MongoD
B
User Behavior
Data Collector
ApacheKafka
MessageBroker
Member
MSSQL
Machine
Learning
Contents
MariaDB
Marketin
g
MongoD
B
Cassandr
aDB
DataLake
S3
Kettle
ETL
Marketin
g
Engine
AWS
EMR
Data
Analysis
Marketing
Planner
Kubernetes
Kong
API
API
…

Apache Kafka Message Broker
Centralized, Standardized Messaging Mechanism
Can store messages for long time (Default is 7 days)
All user activity will store via Kafka (API log, Click log)
PC Browser
(Client
Rendering)
Meta
Ingestion
Mobile
Client
POOQ Streaming H/E
Media
Ingestion
Data Sync
Smart TV
Client
AWSCF
Kubernetes
Kon
g
API
API
…
Member
MongoD
B
Contents
MongoD
B
User Behavior
Data Collector
ApacheKafka
MessageBroker
Member
MSSQL
Machine
Learning
Contents
MariaDB
Marketin
g
MongoD
B
Cassandr
aDB
DataLake
S3
Kettle
ETL
Marketin
g
Engine
AWS
EMR
Data
Analysis
Marketing
Planner
ApacheKafka
MessageBroker

Marketing campaign engine
Monitor full user activity via Kafka for
specific threshold
Activate pre-designed campaign
(Like discounted subscription offer)
From code based to rule based
PC Browser
(Client
Rendering)
Meta
Ingestion
Mobile
Client
POOQ Streaming H/E
Media
Ingestion
Data Sync
Smart TV
Client
AWSCF
Kubernetes
Kon
g
API
API
…
Member
MongoD
B
Contents
MongoD
B
User Behavior
Data Collector
ApacheKafka
MessageBroker
Member
MSSQL
Machine
Learning
Contents
MariaDB
Marketin
g
MongoD
B
Cassandr
aDB
DataLake
S3
Kettle
ETL
Marketin
g
Engine
AWS
EMR
Data
Analysis
Marketing
Planner
Marketing
MongoDB
Marketing
Engine
Marketing Planner

Revamped data analysis engine
‘Data Lake’ concept
Longer data storage with S3
PC Browser
(Client
Rendering)
Meta
Ingestion
Mobile
Client
POOQ Streaming H/E
Media
Ingestion
Data Sync
Smart TV
Client
AWSCF
Kubernetes
Kon
g
API
API
…
Member
MongoD
B
Contents
MongoD
B
User Behavior
Data Collector
ApacheKafka
MessageBroker
Member
MSSQL
Machine
Learning
Contents
MariaDB
Marketin
g
MongoD
B
Cassandr
aDB
DataLake
S3
Kettle
ETL
Marketin
g
Engine
AWS
EMR
Data
Analysis
Marketing
Planner
DataLake
S3
AWS EMR
Data Analysis

Integrating machine learning
Still early stage, long way to go
Initial goals are;
Scene keyword detection
Celebrity face identification
Contents related article analysis
Outsourcing online API service provider for initial service
Evaluating between: AWS Rekognition and Clarifai
Utilizing Google Tensorflow as in-house tool
PC Browser
(Client
Rendering)
Meta
Ingestion
Mobile
Client
POOQ Streaming H/E
Media
Ingestion
Data Sync
Smart TV
Client
AWSCF
Kubernetes
Kon
g
API
API
…
Member
MongoD
B
Contents
MongoD
B
User Behavior
Data Collector
ApacheKafka
MessageBroker
Member
MSSQL
Machine
Learning
Contents
MariaDB
Marketin
g
MongoD
B
Cassandr
aDB
DataLake
S3
Kettle
ETL
Marketin
g
Engine
AWS
EMR
Data
Analysis
Marketing
Planner
Machine Learning

UHD: ETA February, 2018
Korea start UHD terrestrial broadcasting at 31th May, 2017
Select ATSC-3.0 as standard
POOQ is testing & building UHD streaming service
Initial target is Pyungchang Olympic
Type Resolution Codec Bitrate Profile Frame Rate Note
Super
1080p
1920x108
0
HEVC 4Mbps
Main10 59.94fps
Chunk: 2
second
GOP: 120
Frame, Closed
UHD
2160p
3840x216
0
HEVC 8Mbps
HEVC 15Mbps

UHD: Live
On Site Live Encoder
CP generate full range of bitrate & resolution on-site
Elemental Cloud Live Encoder does not have powerful enough machine yet
(Using 128 V-Core machine can do single channel but that’s way too expensive)
POOQ Head
End
S3 Transit
On Site Live
Encoder
(Elemental Box)
2 Second TS
File Push
Generate full
range of
bitrate

Beyond: What’s next?
HDR support
Alliance for Open Media AV1 Codec support
POOQ 3.0 Enhancement
Bring machine learning in-house
Request for AWS: Need faster CloudFront for higher bit rate UHD streaming

THANK YOU!
C a s t S t u d y : P O O Q , K o r e a ’ s L a r g e s t O T T p r o v i d e r
C T D 3 0 3

CTD303_Korea’s Largest OTT provider

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CTD303_Korea’s Largest OTT provider