Your First 10 Million Users with Amazon Web Services

1. Your First 10 Million Users
with Amazon Web Services
Chris Hampartsoumian
Technology Evangelist
@chrishampart

2. So how do we get to scale?

4. a lot of things to read

5. a lot of things to read
not where we want to start

6. Auto Scaling is an
excellent destination.
There’s lots we can do
in the mean time.

7. What do we need first?

8. Some basics…

9. US-WEST (Oregon)
EU-WEST (Ireland)
ASIA PAC (Tokyo)
US-WEST (N. California)
SOUTH
AMERICA (Sao
Paulo)
US-EAST (Virginia)
AWS GovCloud (US)
ASIA PAC
(Sydney)
ASIA PAC
(Singapore)
CHINA (Beijing)
EU-CENTRAL (Frankfurt)

10. US-WEST (Oregon)
EU-WEST (Ireland)
ASIA PAC (Tokyo)
US-WEST (N. California)
SOUTH
AMERICA (Sao
Paulo)
US-EAST (Virginia)
AWS GovCloud (US)
ASIA PAC
(Sydney)
ASIA PAC
(Singapore)
CHINA (Beijing)
EU-CENTRAL (Frankfurt)

12. AWS Provides Broad and Deep Services to
Support any Cloud Workload
Application Services
AWS Global Infrastructure
Networking
Deployment & Administration
Compute StorageCompute Database

13. Mobile
Push
Notifications
Mobile
Analytics
Cognito
Cognito
Sync
AWS Global Infrastructure
Your Applications
AWS Global Infrastructure11 Regions 30 Availability Zones 53 Edge Locations
Network
VPC
Direct
Connect
Route 53
API
Human Interaction
Support
Web Console
Interaction
Command Line
Libraries, SDK’s
Database
DynamoDBRDS ElastiCache
Deployment & Management
Elastic
Beanstalk
OpsWorks
Cloud
Formation
Code
Deploy
Code
Pipeline
Code
Commit
Security & Administration
CloudWatch Config
Cloud
Trail
IAM Directory KMS
Application
SQS SWF
App
Stream
Elastic
Transcoder
SES
Cloud
Search
SNS
Enterprise Applications
WorkSpaces WorkMail WorkDocs
Compute
EC2 ELB
Auto
Scaling
LambdaECS
Analytics
Kinesis
Data
Pipeline
RedShift EMR
Machine
Learning
Storage
EBS Glacier CloudFrontEFSS3

14. So let’s start from day one,
user one (you)

15. EC2
instance
Elastic IP
Amazon
Route 53
User

16. c3.8xlarge
m3.2xlarge
t2.micro

17. • Will hit an endpoint eventually
c3.8xlarge
m3.2xlarge
t2.micro

18. utilizes Intel® Xeon® processors
Core count,
Memory size, Storage size & type, Network performance, & CPU
technologies
• Hurry Up & Go Idle

19. Intel® Xeon® v3
• Haswell microarchitecture has better branch prediction; efficient at
prefetching instructions and data; along with other improvements that
can boost existing applications’ performance by 30% or more
P state and C state control
Intel® AVX2.0

20. • Intel® AVX – Get dramatically better performance for highly parallel
HPC workloads such as life science engineering, data mining, financial
analysis, or other technical computing applications. AVX also
enhances image, video, and audio processing.
• Intel® AES-NI – Enhance your security with these new encryption
instructions that reduce the performance penalty associated with
encrypting/decrypting data.
• Intel® Turbo Boost Technology – Get more computing power when you
need it with performance that adapts to spikes in your workload with
Intel® Turbo Boost Technology 2.0

22. EC2
Instance
Elastic IP
Amazon
Route 53
User

23. • No failover
• No redundancy
• Too many eggs in one
basket
EC2
Instance
Elastic IP
Amazon
Route 53
User

24. Web
Instance
Database
Instance
Elastic IP
Amazon
Route 53
User

25. Self-managed Fully managed
Database server
on Amazon EC2
Your choice of
database running on
Amazon EC2
Bring Your Own
License (BYOL)
Amazon
DynamoDB
Managed NoSQL
database service
using SSD storage
Seamless scalability
Zero administration
Amazon RDS
Aurora,
Microsoft SQL,
Oracle, MySQL or
PostgreSQL as a
managed service
BYOL or License
Included
Amazon
Redshift
Massively parallel,
petabyte-scale data
warehouse service
Fast, powerful, and
easy to scale
Database options

26. How do I choose what DB
technology I need?
SQL? NoSQL?
or a combination of the two?

29. For your NoSQL Key / Value Stores
Consider Amazon DynamoDB

30. Web
instance
Elastic IP
RDS DB
instance
Amazon
Route 53
User

31. Web
Instance
RDS DB Instance
Active (Multi-AZ)
Availability Zone Availability Zone
Web
Instance
RDS DB Instance
Standby (Multi-AZ)
Elastic Load
Balancer
Amazon
Route 53
User

32. • Create highly scalable applications
• Distribute load across EC2 instances
in multiple Availability Zones
Feature Details
Available Load balances across instances in multiple
Availability Zones
Health checks Automatically checks health of instances and
takes them in or out of service
Session stickiness Routes requests to the same instance
Secure sockets layer Supports SSL offload from web and application
servers with flexible cipher support
Monitoring Publishes metrics to CloudWatch and can get
logs of requests processed
Elastic Load
Balancer
Elastic Load Balancer

33. Scaling this horizontally and
vertically will get us pretty far
( 10k -100k’s of users)

34. User 10k-100k’s
RDS DB Instance
Active (Multi-AZ)
Availability Zone Availability Zone
RDS DB Instance
Standby (Multi-AZ)
Elastic Load
Balancer
RDS DB Instance
Read Replica
RDS DB Instance
Read Replica
RDS DB Instance
Read Replica
RDS DB Instance
Read Replica
Web
Instance
Web
Instance
Web
Instance
Web
Instance
Web
Instance
Web
Instance
Web
Instance
Web
Instance
Amazon
Route 53
User

35. This will take us pretty far, but
we care about performance
and efficiency, so let’s improve
further

36. Web
Instance
RDS DB Instance
Active (Multi-AZ)
Availability Zone
Elastic Load
Balancer
Amazon
Route 53
User

37. Web
Instance
RDS DB Instance
Active (Multi-AZ)
Availability Zone
Elastic Load
Balancer
Amazon S3
Amazon
Cloudfront
Amazon
Route 53
User
• Move static content from
the web instance to
Amazon S3 and Amazon
CloudFront

38. Amazon Simple Storage Service (S3) is
cloud storage for the Internet:
Amazon S3

39. CloudFront
Amazon CloudFront is a web service for scalable
content delivery:
• Cache static content at the edge for faster delivery
• Helps lower load on origin infrastructure
• Dynamic and static content
• Streaming video
• Custom SSL certificates
• Low TTLs (as short as 0 seconds)
• Lower costs for origin fetches (between Amazon
S3 / Amazon EC2 and CloudFront)
• Optimized to work with Amazon EC2, Amazon S3,
Elastic Load Balancing, and Amazon Route 53
ResponseTime
ServerLoad
Response
Time
Server
Load
Response
Time
Serve
rLoad
No CDN CDN for Static
Content
CDN for Static &
Dynamic Content
0
10
20
30
40
50
60
70
80
8:00
AM
9:00
AM
10:00
AM
11:00
AM
12:00
PM
1:00
PM
2:00
PM
3:00
PM
4:00
PM
5:00
PM
6:00
PM
7:00
PM
8:00
PM
9:00
PM
VolumeofData
Delivered(Gbps)

40. Web
Instance
RDS DB Instance
Active (Multi-AZ)
Availability Zone
Elastic Load
Balancer
Amazon S3
Amazon
Cloudfront
Amazon
Route 53
User

41. • Move session/state and
DB caching to Amazon
ElastiCache or Amazon
DynamoDB
Web
Instance
RDS DB Instance
Active (Multi-AZ)
Availability Zone
Elastic Load
Balancer
Amazon S3
Amazon
Cloudfront
Amazon
Route 53
User
ElastiCache
DynamoDB

43. • Managed, provisioned throughput
NoSQL database
• Fast, predictable performance
• Fully distributed, fault tolerant
architecture
• JSON support (NEW)
• Items up to 400 KB (NEW)
Feature Details
Provisioned
throughput
Dial up or down provisioned
read/write capacity
Predictable
performance
Average single digit millisecond
latencies from SSD-backed
infrastructure
Strong
consistency
Be sure you are reading the
most up to date values
Fault tolerant Data replicated across
Availability Zones
Monitoring Integrated with Amazon
CloudWatch
Secure Integrates with AWS Identity
and Access Management (IAM)

44. • Move dynamic content from
the ELB to Amazon
CloudFront
Web
Instance
RDS DB Instance
Active (Multi-AZ)
Availability Zone
Elastic Load
Balancer
Amazon S3
Amazon
Cloudfront
Amazon
Route 53
User
ElastiCache
DynamoDB

45. • Move dynamic content
from the ELB to Amazon
CloudFront
Web
Instance
RDS DB Instance
Active (Multi-AZ)
Availability Zone
Elastic Load
Balancer
Amazon S3
Amazon
Cloudfront
Amazon
Route 53
User
ElastiCache
DynamoDB

46. Now that our web tier is
much more lightweight, we
can revisit the beginning of
our talk…

47. Auto Scaling!

48. Automatic resizing of compute
clusters based on demand
Feature Details
Control Define minimum and maximum instance pool
sizes and when scaling and cool down occurs.
Integrated to Amazon
CloudWatch
Use metrics gathered by CloudWatch to drive
scaling.
Instance types Run Auto Scaling for on-demand and Spot
Instances. Compatible with VPC.
aws autoscaling create-auto-scaling-group
--auto-scaling-group-name MyGroup
--launch-configuration-name MyConfig
--min-size 4
--max-size 200
--availability-zones us-west-2c, us-west-2b
Auto Scaling Trigger auto-scaling policy
Amazon
CloudWatch

49. Sunday Monday Tuesday Wednesday Thursday Friday Saturday
Typical weekly traffic to Amazon.com

50. Sunday Monday Tuesday Wednesday Thursday Friday Saturday
Typical weekly traffic to Amazon.com
Provisioned capacity

51. November

52. Provisioned capacity
November

53. 76%
24%
Provisioned capacity
November

54. November

55. Auto Scaling lets
you do this!

56. Availability Zone
Amazon
Route 53
User
Amazon S3
Amazon
Cloudfront
Availability Zone
Elastic Load
Balancer
DynamoDB
RDS DB Instance
Read Replica
Web
Instance
Web
Instance
Web
Instance
ElastiCache RDS DB Instance
Read Replica
Web
Instance
Web
Instance
Web
Instance
ElastiCacheRDS DB Instance
Standby (Multi-AZ)
RDS DB Instance
Active (Multi-AZ)

59. AWS application management solutions
Convenience Control
Higher-level services Do it yourself
AWS
Elastic Beanstalk
AWS
OpsWorks
AWS
CloudFormation
Amazon EC2

61. Host Level Metrics Aggregate Level Metrics

62. Centralized Log Analysis External Site Monitoring

63. There are further
improvements to be
made by breaking apart
our web/app layer

65. Controller A Controller B
Controller A Controller B
Q Q
Tight coupling
Use Amazon SQS as buffers
Loose coupling

67. RDS DB Instance
Active (Multi-AZ)
Amazon VPC
Elastic Load
Balancer
RDS DB Instance
Read Replica
RDS DB Instance
Read Replica
Web
Instance
Web
Instance
Web
Instance
Web
Instance
Amazon
Route 53
User
Amazon S3
Amazon
Cloudfront
DynamoDB
Amazon SQS
ElastiCache
Worker
Instance
Worker
Instance
Amazon
CloudWatch
Internal App
Instance
Internal App
Instance
Amazon SES

68. The next big steps

70. • Split up databases by
function/purpose
• Harder to do cross-function
queries
• Essentially delaying the need
for something like
sharding/NoSQL until much
further down the line
• Won’t help with single huge
functions/tables
ForumsDB
UsersDB
ProductsDB

71. Sharded horizontal scaling
• More complex at the
application layer
• No practical limit on
scalability
• Operation
complexity/sophistication
• Shard by function or key
space
• RDBMS or NoSQL
User ShardID
002345 A
002346 B
002347 C
002348 B
002349 A
Shard C
Shard B
Shard A

72. Shifting functionality to NoSQL
• ALeverage hosted services like DynamoDB
• Some use cases:
– Leaderboards/scoring
– Rapid ingest of clickstream/log data
– Temporary data needs (cart data)
– “Hot” tables
– Metadata/lookup tables
DynamoDB

73. A quick review

76. Putting all this together
means we should now easily
be able to handle
10+ million users!

77. To infinity…..

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79. Thank you!
@AWSCloudSEAsia
Chris Hampartsoumian
Technology Evangelist ASEAN

80. THANKS
FOR
LISTENING!