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Shoot the Bird
Linear Broadcast Distribution on AWS
Konstantin Wilms
Amazon Web Services
© 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved©
So we had a few customer requests...
“We’re interested in examining alternatives to traditional
linear video distribution”
“Any solution will need to maintain
low latency high quality video”
“We shouldn’t have to sacrifice
performance or quality for cost savings”
And some of the reasons why?
“We’re out of capacity. We want to add more contribution
channels without impacting existing ones, utilize higher HD
bitrates across the board, ..”
Which started us down an interesting path...
Traditional multi-hop satellite distribution
First HopSecond Hop
Field Source / EncoderHeadend / ProcessingAffiliate Spoke / Decoder
“Broadcast distribution scales infinitely”
…but is not a pre-requisite for this use case
Can we implement a solution without affecting the
underlying media layers?
Can we architect for scale at low cost?
In a non-Cloud Solution …
 Multiple datacenter footprints
 High speed, costly IP transit
 Local ops staff to manage infrastructure
 A massive cap-ex outlay
 Development staff to build this out
AWS takes care of this
undifferentiated heavy lifting
Edge Locations
Availability Zone
Region
Dallas (2)
St.Louis
Miami
JacksonvilleLos Angeles (2)
Seattle
Ashburn (3)
Newark
New York (3)
Dublin
London (2)
Amsterdam (2)
Stockholm
Frankfurt (2)Paris (2)
Singapore(2)
Hong Kong (2)
Tokyo (2)
Sao Paulo
South Bend
San Jose
Palo Alto
Hayward
Osaka
Milan
Sydney
Madrid
Seoul
Mumbai
Chennai
Global Distribution Footprint
c
Massively Scalable Compute
 Compute Intensive
Intel ES-2666 v3 (Haswell) optimized specifically for EC2
 Memory Intensive
Lowest price point per GiB of RAM
 GPUs
1,536 CUDA cores
4GB of video memory
 Enhanced Networking
Higher PPS, Lower network jitter, low latency
 IO Intensive
SSD Storage, EBS Optimized
 High Storage
24 x 2000 GiB per instance
AMI
EBS
Instance
Store
Amazon
EC2
Instance
Size instance by
Application need
Launch a CloudFormation stack
with all the infrastructure
resources for a specific
project
Autoscale the stack as
appropriate
Automated Infrastructure
AMI
CloudFormation
Deploy
Template
CloudFormation
Terminate
Template
AWS Ecosystem (License included in hourly* pricing)
INGEST STORE MANAGE SECUREPROCESS
CREATE
MONETIZE
INTEGRATEDELIVER
So let’s take a closer look at the problem...
What if we evolved the second hop?
First HopSecond Hop
Field Source / EncoderHeadend / ProcessingAffiliate Spoke / Decoder
What if we Evolved the Second Hop?
 Approach
 Up/downlink: dedicated and
internet-based IP links
 Direct Connect
 For ‘uplink’
 For stream consumption
 Concerns
 FEC
 ~500ms + RTT latency
Second Hop
Headend / ProcessingAffiliate Spoke / Decoder
Direct Connect
Secure VPN
Route53
Looking at Bandwidth & Transport
Satellite
 $3-5000/Mhz/mo* (~$30k/20Mbits*) +
Spoke costs
 Fixed b/w ceiling cap
AWS
 b/w to deliver an HD stream ~ $500/mo*
 Pay as you go model
FEC
 Can be implemented on UDP layer
 ARQ, SRT, LD for jitter/latency/reliability
 Sub 1Gb Direct Connect (100Mbps)
 Availability stream ingest (1:1, 1:N)
Second Hop
Headend / Processing
Affiliate Spoke / Decoder
$
$
$
! !
!
Multi-hop Distribution with AWS
First Hop
Field Source / EncoderHeadend / ProcessingAffiliate Spoke
Ingest
Fan Out
Egress
Scale Out
Multi-Region, Multi-AZ
Cellular
Internet
Direct Connect
Secure VPN
Internet
S3
Glacier
Route53
Multi-hop Distribution with AWS
Affiliate Spoke
Ingest
Fan Out
Egress
Multi-Region, Multi-AZ
Direct Connect
Secure VPN
S3
Glacier
Route53
 Additional Workflows
 Transient infrastructure
 Templatize Environments
for Quick POCs
 CloudBursting
(utilizing on-prem)
 Additional Regions
Some notable features …
10GbpsNetwork
placement
groups
 Capacity plan for hundreds of live
HD streams and contribution silos
 Low latency high throughput
 Combine with regional replication
and Route53 for true nearest-
neighbor latency
Highly Scalable Infrastructure
c4
g2m3
High Capacity Egress
GPU Transcode
IngestEncoder
Broadcast
Decode
Low Bitrate
Proxy
 Fan out / fan in
 Size workflow to compute
 Flexible multi-format
HLS w/ Cloudfront CDN
MPEG-UDP w/FEC
Dedicated Pipe
Multi-Path Distribution
Amazon Glacier (Life Cycle Policies)
Amazon S3
 Segment media into S3
 Periodically archive to Glacier
 Time-windowed hot content with
infinite cold store
 Store/Retrieve to local edit
stations via high-speed partner
appliances
 Affiliates can make use of
storage infrastructure
(transcode)
Media Lifecycle Management
Let’s look at a real implementation…
Proof of Concept
Deployed in one afternoon into AWS VPC
Co-ordinated cross-country by a team of 3 – headend
operations, en/decoder manufacturer, and AWS
6Mbps 1080p60 MPEG-UDP w/FEC (SRT) stream
Distribution over public internet
200ms encoder to AWS, AWS to decoder latency
Lower measured latency than existing satellite 2nd hop
40 day ingress uptime with no video dropouts
[AWS LA Media & Entertainment Event 2015]: Shoot the Bird: Linear Broadcast on AWS

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[AWS LA Media & Entertainment Event 2015]: Shoot the Bird: Linear Broadcast on AWS

  • 1. Shoot the Bird Linear Broadcast Distribution on AWS Konstantin Wilms Amazon Web Services © 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved©
  • 2. So we had a few customer requests...
  • 3. “We’re interested in examining alternatives to traditional linear video distribution”
  • 4. “Any solution will need to maintain low latency high quality video”
  • 5. “We shouldn’t have to sacrifice performance or quality for cost savings”
  • 6. And some of the reasons why?
  • 7. “We’re out of capacity. We want to add more contribution channels without impacting existing ones, utilize higher HD bitrates across the board, ..”
  • 8. Which started us down an interesting path...
  • 9. Traditional multi-hop satellite distribution First HopSecond Hop Field Source / EncoderHeadend / ProcessingAffiliate Spoke / Decoder
  • 10. “Broadcast distribution scales infinitely” …but is not a pre-requisite for this use case
  • 11. Can we implement a solution without affecting the underlying media layers?
  • 12. Can we architect for scale at low cost?
  • 13. In a non-Cloud Solution …  Multiple datacenter footprints  High speed, costly IP transit  Local ops staff to manage infrastructure  A massive cap-ex outlay  Development staff to build this out
  • 14. AWS takes care of this undifferentiated heavy lifting
  • 15. Edge Locations Availability Zone Region Dallas (2) St.Louis Miami JacksonvilleLos Angeles (2) Seattle Ashburn (3) Newark New York (3) Dublin London (2) Amsterdam (2) Stockholm Frankfurt (2)Paris (2) Singapore(2) Hong Kong (2) Tokyo (2) Sao Paulo South Bend San Jose Palo Alto Hayward Osaka Milan Sydney Madrid Seoul Mumbai Chennai Global Distribution Footprint
  • 16. c Massively Scalable Compute  Compute Intensive Intel ES-2666 v3 (Haswell) optimized specifically for EC2  Memory Intensive Lowest price point per GiB of RAM  GPUs 1,536 CUDA cores 4GB of video memory  Enhanced Networking Higher PPS, Lower network jitter, low latency  IO Intensive SSD Storage, EBS Optimized  High Storage 24 x 2000 GiB per instance AMI EBS Instance Store Amazon EC2 Instance Size instance by Application need
  • 17. Launch a CloudFormation stack with all the infrastructure resources for a specific project Autoscale the stack as appropriate Automated Infrastructure AMI CloudFormation Deploy Template CloudFormation Terminate Template
  • 18. AWS Ecosystem (License included in hourly* pricing) INGEST STORE MANAGE SECUREPROCESS CREATE MONETIZE INTEGRATEDELIVER
  • 19. So let’s take a closer look at the problem...
  • 20. What if we evolved the second hop? First HopSecond Hop Field Source / EncoderHeadend / ProcessingAffiliate Spoke / Decoder
  • 21. What if we Evolved the Second Hop?  Approach  Up/downlink: dedicated and internet-based IP links  Direct Connect  For ‘uplink’  For stream consumption  Concerns  FEC  ~500ms + RTT latency Second Hop Headend / ProcessingAffiliate Spoke / Decoder Direct Connect Secure VPN Route53
  • 22. Looking at Bandwidth & Transport Satellite  $3-5000/Mhz/mo* (~$30k/20Mbits*) + Spoke costs  Fixed b/w ceiling cap AWS  b/w to deliver an HD stream ~ $500/mo*  Pay as you go model FEC  Can be implemented on UDP layer  ARQ, SRT, LD for jitter/latency/reliability  Sub 1Gb Direct Connect (100Mbps)  Availability stream ingest (1:1, 1:N) Second Hop Headend / Processing Affiliate Spoke / Decoder $ $ $ ! ! !
  • 23. Multi-hop Distribution with AWS First Hop Field Source / EncoderHeadend / ProcessingAffiliate Spoke Ingest Fan Out Egress Scale Out Multi-Region, Multi-AZ Cellular Internet Direct Connect Secure VPN Internet S3 Glacier Route53
  • 24. Multi-hop Distribution with AWS Affiliate Spoke Ingest Fan Out Egress Multi-Region, Multi-AZ Direct Connect Secure VPN S3 Glacier Route53  Additional Workflows  Transient infrastructure  Templatize Environments for Quick POCs  CloudBursting (utilizing on-prem)  Additional Regions
  • 26. 10GbpsNetwork placement groups  Capacity plan for hundreds of live HD streams and contribution silos  Low latency high throughput  Combine with regional replication and Route53 for true nearest- neighbor latency Highly Scalable Infrastructure
  • 27. c4 g2m3 High Capacity Egress GPU Transcode IngestEncoder Broadcast Decode Low Bitrate Proxy  Fan out / fan in  Size workflow to compute  Flexible multi-format HLS w/ Cloudfront CDN MPEG-UDP w/FEC Dedicated Pipe Multi-Path Distribution
  • 28. Amazon Glacier (Life Cycle Policies) Amazon S3  Segment media into S3  Periodically archive to Glacier  Time-windowed hot content with infinite cold store  Store/Retrieve to local edit stations via high-speed partner appliances  Affiliates can make use of storage infrastructure (transcode) Media Lifecycle Management
  • 29. Let’s look at a real implementation…
  • 30. Proof of Concept Deployed in one afternoon into AWS VPC Co-ordinated cross-country by a team of 3 – headend operations, en/decoder manufacturer, and AWS 6Mbps 1080p60 MPEG-UDP w/FEC (SRT) stream Distribution over public internet 200ms encoder to AWS, AWS to decoder latency Lower measured latency than existing satellite 2nd hop 40 day ingress uptime with no video dropouts