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November 14, 2014 | Las Vegas, NV 
Valentino Volonghi, CTO, AdRoll 
Siva Raghupathy, Principal Solutions Architect, AWS
60 billion requests/day
We 
Must 
Stay 
Up 
1% downtime 
= 
>$1M
No 
Infinitely 
Deep 
Pockets
100ms MAX Latency
Paris-New York: ~6000km 
Speed of Light in fiber: 200,000 km/s 
RTT latency without hops and copper: 60ms 
Paris-New York: ~6000km 
Speed of Light in fiber: 200,000 km/s 
RTT latency without hops and copper: 60ms 
6000 
km 
60 ms 
c-RTT
a 
a 
a 
r 
•Memcache 
aOpensource 
aMature 
aBlazinglyfast 
rNostrong guarantees 
•Redis 
aOpensource 
rStoragescale 
rNotreally distributed 
rOperationallyintense. 
•Hbase(we still use this) 
aOpensource 
aMaturingquickly 
aGreatscale 
rReallyhard to operate
http://techblog.netflix.com/2014/07/revisiting-1-million-writes-per-second.html 
Cassandra 
DynamoDB 
Delta 
10/90mix, $/month 
$287,064 
$131,040 
219% 
50/50 mix, $/month 
$287,064 
$280,800 
~0% 
10/90, 3-yrreserved 
$27,075.6 
($904kupfront) 
$15,736 
($504k upfront) 
180% 
•10 people Cassandra ops team: $150k/month (fully loaded) 
•0 DynamoDBops team: $0
Instance 
Nginx 
ErlangBidder 
Black Box 
Supervisor 
ASG 
Amazon 
Kinesis 
Amazon S3 
DynamoDB 
Elastic Load Balancing 
Instance 
Nginx 
ErlangBidder 
Black Box 
Supervisor 
ASG 
Elastic Load Balancing
Amazon S3 
Amazon 
Kinesis 
DynamoDB 
DynamoDB 
DynamoDB
HashKey 
Value 
Key 
{‘segments’: set([‘123’, ‘345’]), 
‘timestamp’:‘1234556’, 
‘leads’: ‘to-write-contention’} 
HashKey 
RangeKey 
Value (just a single timestamp) 
Key 
Segment 
1234554343254 
Key 
Segment1 
1231231433235
ArrayListListWriteRequestArrayListWriteRequestKeyAtomicIntegerAtomicIntegerSetWriteRequestCollectionsHashSetWriteRequestStringAmazonDynamoDB 
RunnableRunnablerun 
ListWriteRequest 
BatchWriteItemResultBatchWriteItemRequestImmutableMapListWriteRequest 
Map
Not for me!
Data Collection 
Data Storage 
Global 
Distribution 
Bid Storage 
Bidding
Data Collection 
Data Storage 
Global 
Distribution 
Bid Storage 
Bidding
Data Collection = Batch Layer 
Bidding = Speed Layer 
Data Collection 
Data Storage 
Global 
Distribution 
Bid Storage 
Bidding
US East region 
Availability Zone 
Availability Zone 
Elastic Load Balancing 
instances 
instances 
Auto Scaling group 
Amazon S3 
Amazon Kinesis
US East region 
Availability Zone Availability Zone 
Elastic Load 
Balancing 
instances instances 
Auto Scaling group 
Amazon S3 
Amazon 
Kinesis 
Apache 
Storm 
DynamoDB 
US West region 
EU West region 
DynamoDB 
DynamoDB
Data Collection Bidding 
US East region 
Availability Zone Availability Zone 
Elastic Load Balancing 
instances instances 
Auto Scaling group 
Amazon 
S3 
Amazon 
Kinesis 
Apache 
Storm 
DynamoDB 
Availability Zone Availability Zone 
Auto Scaling group 
Elastic Load Balancing
Data Collection 
•Amazon EC2, Elastic Load Balancing, Auto Scaling 
Store 
•Amazon S3 + Amazon Kinesis 
Global Distribution 
•Apache Storm on Amazon EC2 
Bid Store 
•DynamoDB 
Bidding 
•Amazon EC2, Elastic Load Balancing, Auto Scaling 
Data CollectionBiddingAd Network 2Ad Network 1Auto Scaling GroupAuto Scaling GroupAuto Scaling GroupAuto Scaling GroupAuto Scaling GroupAuto Scaling GroupAuto Scaling GroupAuto Scaling GroupAuto Scaling GroupApache Stormv2V3V3v1v2V3V3v1V2V3V3V1Auto Scaling GroupV3V4Elastic Load BalancingElastic Load BalancingElastic Load BalancingElastic Load BalancingDynamoDBWriteReadReadReadReadReadReadWriteWritesWriteWriteReadV3` Elastic Load BalancingElastic Load BalancingElastic Load BalancingElastic Load BalancingElastic Load BalancingElastic Load BalancingDynamoDBData CollectionBiddingDynamoDBWriteReadReadWriteWriteWriteAmazon S3Amazon Kinesis
http://bit.ly/awsevals

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(ADV402) Beating the Speed of Light with Your Infrastructure in AWS | AWS re:Invent 2014

  • 1. November 14, 2014 | Las Vegas, NV Valentino Volonghi, CTO, AdRoll Siva Raghupathy, Principal Solutions Architect, AWS
  • 3. We Must Stay Up 1% downtime = >$1M
  • 6. Paris-New York: ~6000km Speed of Light in fiber: 200,000 km/s RTT latency without hops and copper: 60ms Paris-New York: ~6000km Speed of Light in fiber: 200,000 km/s RTT latency without hops and copper: 60ms 6000 km 60 ms c-RTT
  • 7.
  • 8.
  • 9.
  • 10. a a a r •Memcache aOpensource aMature aBlazinglyfast rNostrong guarantees •Redis aOpensource rStoragescale rNotreally distributed rOperationallyintense. •Hbase(we still use this) aOpensource aMaturingquickly aGreatscale rReallyhard to operate
  • 11. http://techblog.netflix.com/2014/07/revisiting-1-million-writes-per-second.html Cassandra DynamoDB Delta 10/90mix, $/month $287,064 $131,040 219% 50/50 mix, $/month $287,064 $280,800 ~0% 10/90, 3-yrreserved $27,075.6 ($904kupfront) $15,736 ($504k upfront) 180% •10 people Cassandra ops team: $150k/month (fully loaded) •0 DynamoDBops team: $0
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17. Instance Nginx ErlangBidder Black Box Supervisor ASG Amazon Kinesis Amazon S3 DynamoDB Elastic Load Balancing Instance Nginx ErlangBidder Black Box Supervisor ASG Elastic Load Balancing
  • 18. Amazon S3 Amazon Kinesis DynamoDB DynamoDB DynamoDB
  • 19.
  • 20. HashKey Value Key {‘segments’: set([‘123’, ‘345’]), ‘timestamp’:‘1234556’, ‘leads’: ‘to-write-contention’} HashKey RangeKey Value (just a single timestamp) Key Segment 1234554343254 Key Segment1 1231231433235
  • 21.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37. Data Collection Data Storage Global Distribution Bid Storage Bidding
  • 38. Data Collection Data Storage Global Distribution Bid Storage Bidding
  • 39. Data Collection = Batch Layer Bidding = Speed Layer Data Collection Data Storage Global Distribution Bid Storage Bidding
  • 40. US East region Availability Zone Availability Zone Elastic Load Balancing instances instances Auto Scaling group Amazon S3 Amazon Kinesis
  • 41. US East region Availability Zone Availability Zone Elastic Load Balancing instances instances Auto Scaling group Amazon S3 Amazon Kinesis Apache Storm DynamoDB US West region EU West region DynamoDB DynamoDB
  • 42. Data Collection Bidding US East region Availability Zone Availability Zone Elastic Load Balancing instances instances Auto Scaling group Amazon S3 Amazon Kinesis Apache Storm DynamoDB Availability Zone Availability Zone Auto Scaling group Elastic Load Balancing
  • 43. Data Collection •Amazon EC2, Elastic Load Balancing, Auto Scaling Store •Amazon S3 + Amazon Kinesis Global Distribution •Apache Storm on Amazon EC2 Bid Store •DynamoDB Bidding •Amazon EC2, Elastic Load Balancing, Auto Scaling Data CollectionBiddingAd Network 2Ad Network 1Auto Scaling GroupAuto Scaling GroupAuto Scaling GroupAuto Scaling GroupAuto Scaling GroupAuto Scaling GroupAuto Scaling GroupAuto Scaling GroupAuto Scaling GroupApache Stormv2V3V3v1v2V3V3v1V2V3V3V1Auto Scaling GroupV3V4Elastic Load BalancingElastic Load BalancingElastic Load BalancingElastic Load BalancingDynamoDBWriteReadReadReadReadReadReadWriteWritesWriteWriteReadV3` Elastic Load BalancingElastic Load BalancingElastic Load BalancingElastic Load BalancingElastic Load BalancingElastic Load BalancingDynamoDBData CollectionBiddingDynamoDBWriteReadReadWriteWriteWriteAmazon S3Amazon Kinesis