An intro to the world of Amazon Web Services. Learn about AWS services through starting with day one (1 developer) to scaling your app to 10 Million users.

1. © 2014 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.
Spain Tech Talk
Scaling on AWS for the
First 10 Million Users
Matt Auerbach, Associate Solutions Architect
April 24, 2015

2. Scaling on AWS for the First 10 Million Users
• Me:
– Matt Auerbach; mauerbac@amazon.com
• YOU: Here to learn more about scaling
infrastructure on AWS
• TODAY: about best practices and things to think
about when building for large scale

3. So how do we scale?

6. a lot of things to read

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

8. us today

9. What do we need
first?

10. Lets start with the
basics…

11. 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)
Regions
ASIA PAC
(Singapore)
EU-WEST (Frankfurt)

12. 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)
Availability Zones
ASIA PAC
(Singapore)
EU-WEST (Frankfurt)

13. Edge Locations

14. • $7B+ retail business
• 8,000+ employees
• A whole lot of servers
Every day, AWS adds enough
server capacity to power that
entire $7B enterprise
2004 2015

15. Storage & Content
Delivery
AWS Global Infrastructure
Database
App Services
Deployment & Management
Compute & Networking
Analytics

16. Storage & Content
Delivery
AWS Global Infrastructure
Database
App Services
Deployment & Management
Compute & Networking
Analytics
Amazon
DynamoDB
Amazon
RDS
Amazon
ElastiCache
Amazon
RedShift
AWS Storage
Gateway
Amazon S3
Amazon
Glacier
Amazon
CloudFront
Amazon
CloudWatch
AWS IAM AWS
CloudFormation
Amazon Elastic
Beanstalk
AWS
OpsWorks
AWS
CloudTrail
Amazon
SQS
Amazon
Elastic
Transcoder
Amazon
SNS
Amazon
SES
Amazon
CloudSearch
Amazon SWF
Amazon
AppStream
Amazon
EC2
Amazon
VPC
Amazon
Route 53
AWS
Direct Connect
Amazon
WorkSpaces
Amazon
EMR
Amazon
Kinesis
AWS Data
Pipeline

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

18. Day One, User One:
• A single EC2 Instance
– With full stack on this host
• Web App
• Database
• Management
• Etc.
• A single Elastic IP
• Route53 for DNS
EC2
Instance
Elastic IP
Amazon
Route 53
User

19. “We’re gonna need a bigger box”
• Simplest approach
• Can now leverage PIOPs
• High I/O instances
• High memory instances
• High CPU instances
• High storage instances
• Easy to change instance sizes
• Will hit an endpoint eventually
c3.8xlarge
m3.2xlarge
t2.micro

20. “We’re gonna need a bigger box”
• Simplest approach
• Can now leverage PIOPs
• High I/O instances
• High memory instances
• High CPU instances
• High storage instances
• Easy to change instance sizes
• Will hit an endpoint eventually
c3.8xlarge
m3.2xlarge
t2.micro

21. Day One, User One:
• We could potentially get
to a few hundred to a few
thousand depending on
application complexity
and traffic
• No failover
• No redundancy
• Too many eggs in one
basket
EC2
Instance
Elastic IP
Amazon
Route 53
User

22. Day One, User One:
• We could potentially get
to a few hundred to a few
thousand depending on
application complexity
and traffic
• No failover
• No redundancy
• Too many eggs in one
basket
EC2
Instance
Elastic IP
Amazon
Route 53
User

23. Day Two, User >1:
First let’s separate out
our single host into
more than one.
• Web
• Database
– Make use of a database
service?
Web
Instance
Database
Instance
Elastic IP
Amazon
Route 53
User

24. 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
Microsoft SQL,
Oracle, MySQL or
PostgreSQL as a
managed service
Flexible licensing
BYOL or License
Included
Amazon
Redshift
Massively parallel,
petabyte-scale, data
warehouse service
Fast, powerful and
easy to scale
Database Options

25. But how do I choose
what DB technology I
need? SQL? NoSQL?

26. Start with SQL
databases

27. Why start with SQL?
• Established and well worn technology
• Lots of existing code, communities, books, background,
tools, etc
• You aren’t going to break SQL DBs in your first 10 million
users. No really, you won’t*
• Clear patterns to scalability
*Unless you are doing something SUPER weird with the data or
MASSIVE amounts of it, even then SQL will have a place in your stack

28. AH HA! You
said “massive
amounts”, I
will have
massive
amounts!

29. If your usage is such that you will be
generating several TB ( >5 ) of data
in the first year OR have an
incredibly data intensive workload,
then you might need NoSQL

30. Why else might you need NoSQL?
• Super low latency applications
• Metadata driven datasets
• Highly non-relational data
• Need schema-less data constructs*
• Massive amounts of data (again, in the TB range)
• Rapid ingest of data ( thousands of records/sec )
*Need != “its easier to do dev without schemas”

31. User >100:
First let’s separate out
our single host into
more than one.
• Web
• Database
– Use Amazon RDS to make
your life easier
Web
Instance
Elastic IP
RDS DB
Instance
Amazon
Route 53
User

32. User > 1000:
Next let’s address our
lack of failover and
redundancy issues:
• Elastic Load Balancer
• Another Web Instance
– In another Availability Zone
• Enable RDS Multi-AZ
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

33. • Create highly scalable applications
• Distribute load across EC2 instances
in multiple availability zones
Feature Details
Available Load balance across instances in multiple
Availability Zones
Health checks Automatically checks health of instances and
takes them in or out of service
Session stickiness Route 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 Balancing

34. Scaling this horizontally
and vertically will get us
pretty far
( 10s-100s of thousands )

35. User >10ks-100ks:
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

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

37. Shift some load around:
Let’s lighten the load on our
web and database instances:
• Move static content from
the web instance to Amazon
S3 and Amazon CloudFront
• 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

38. Working with Amazon S3
• Object based storage for the web
• 11 9s of durability
• Good for things like:
– Static assets ( css, js, images,
videos )
– Backups
– Logs
– Ingest of files for processing
• “Infinitely scalable”
• Supports fine grained permission control
• Ties in well with CloudFront
• Ties in with EMR
• Acts as a logging endpoint for
S3/CloudFront/Billing
• Supports Encryption at transit and at rest
• Reduced Redundancy 1/3 cheaper
• Amazon Glacier for super long term
storage

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
• Zone apex support
• 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
ResponseTime
Server
Load
ResponseTime
Server
Load
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. Shift some load around:
Web
Instance
RDS DB Instance
Active (Multi-AZ)
Availability Zone
Elastic Load
Balancer
Amazon S3
Amazon
Cloudfront
Amazon
Route 53
User
ElastiCache
DynamoDB
Let’s lighten the load on our
web and database instances:
• Move static content from
the web instance to Amazon
S3 and Amazon CloudFront
• Move session/state and DB
caching to Amazon
ElastiCache or Amazon
DynamoDB

41. Amazon DynamoDB
• Managed, provisioned throughput
NoSQL database
• Fast, predictable performance
• Fully distributed, fault tolerant
architecture
• Considerations for non-uniform
data
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).
Amazon EMR Integrates with Amazon EMR
for complex analytics on large
datasets

42. Amazon ElastiCache
• Hosted Memcached & Redis
– Speaks same API as traditional open source
Memcached and Redis
• Scale from one to many nodes
• Self healing ( replaces dead instance )
• Very fast ( single digit ms speeds usually (or less) )
• Local to a single AZ for Memcache, with no persistence or
replication
• With Redis can put a replica in a different AZ with
persistence
• Use AWS’s Auto Discovery client to simplify clusters
growing and shrinking without affecting your application

43. Shift some load around:
Web
Instance
RDS DB Instance
Active (Multi-AZ)
Availability Zone
Elastic Load
Balancer
Amazon S3
Amazon
Cloudfront
Amazon
Route 53
User
ElastiCache
DynamoDB
Let’s lighten the load on our
web and database instances:
• Move static content from
the web instance to Amazon
S3 and Amazon CloudFront
• Move dynamic content from
the ELB to Amazon
CloudFront
• Move session/state and DB
caching to ElastiCache or
DynamoDB

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

45. Auto-Scaling!

46. 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
Auto-Scaling
Trigger auto-scaling policy
Amazon
CloudWatch

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

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

49. November traffic to Amazon.com
November

50. November traffic to Amazon.com
Provisioned capacity
November

51. November traffic to Amazon.com
76%
24%
Provisioned capacity
November

52. November traffic to Amazon.com
November

53. Auto Scaling
lets you do this!

54. User >500k+:
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)

56. Use Tools:
Managing your infrastructure will become an ever
increasing important part of your time. Use tools to
automate repetitive tasks.
• Tools to manage AWS resources
• Tools to manage software and configuration on your
instances
• Automated data analysis of logs and user actions

57. AWS Application Management Solutions
Convenience Control
Higher-level Services Do it yourself
AWS
Elastic Beanstalk
AWS
OpsWorks
AWS
CloudFormation
Amazon EC2

58. User >500k+:
You’ll potentially start to run into issues with speed and
performance of your applications.
• Make sure you have monitoring/metrics/logging in place
– If you can’t build it internally, outsource it! ( 3rd party SaaS )
• Pay attention to what customers are saying works well vs.
what doesn’t, use this direction
• Try to work on squeezing as much performance out of each
service/component

59. HOST
LEVEL
METRICS
AGGREGATE
LEVEL
METRICS
LOG
ANALYSIS
EXTERNAL
SITE
PERFORMANCE

60. Not having proper
monitoring/metrics is like
flying a plane with an eye
mask on in a thunderstorm.
Oh and your wing is on fire.

62. AWS Marketplace & Partners Can Help
• Customer can find, research,
and buy software
• Simple pricing, aligns with
Amazon EC2 usage model
• Launch in minutes
• AWS Marketplace billing
integrated into your AWS
account
• 1300+ products across 20+
categories
Learn more at: aws.amazon.com/marketplace

63. There’s further
improvements to be
made in breaking apart
our web/app layer

65. SOA = Service Oriented Architecture

66. SOA’ing
Move services into their own
tiers/modules. Treat each of these
as 100% whole-y separate pieces
of your infrastructure and scale
them independently.
Amazon.com and AWS do this
extensively! It offers flexibility and
greater understanding of each
component.

67. Loose coupling + SOA = winning
DON’T REINVENT THE WHEEL
Examples:
• Email
• Queuing
• Transcoding
• Search
• Databases
• Monitoring
• Metrics
• Logging
Amazon
CloudSearch
Amazon SQSAmazon SNS
Amazon Elastic
Transcoder
Amazon SWF
Amazon SES
In the early days, if someone has a service for it already,
opt to use that instead of building it yourself.

68. On re-inventing the wheel:
If you find yourself writing
your own: queue, DNS
server, database, storage
system, monitoring tool

69. Take a deep breath and
stop it. Now.

70. User >1mil+:
Reaching a million and above is going to require some bit
of all the previous things:
• Multi-AZ
• Elastic Load Balancer between tiers
• Auto Scaling
• Service oriented architecture
• Serving content smartly (Amazon S3/CloudFront )
• Caching off DB
• Moving state off tiers that auto-scale

71. User >1mil+:
RDS DB Instance
Active (Multi-AZ)
Availability Zone
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

72. The next big steps

73. User >5mil – 10mil:
You’ll potentially start to run into issues with your database
around contention on the write master.
How can you solve it?
• Federation ~ splitting into multiple DBs based on function
• Sharding ~ splitting one data set up across multiple hosts
• Moving some functionality to other types of DBs ( NoSQL )

74. Database Federation
• 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

75. Sharded Horizontal Scaling
• More complex at the
application layer
• ORM support can help
• 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
A
B
C

76. Shifting functionality to NoSQL
• Similar in a sense to federation
• Again, think about the earlier points for when you
need NoSQL vs SQL
• Leverage 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

77. A Quick Review

78. A Quick Review
• Multi-AZ your infrastructure
• Make use of self scaling services - ELB, Amazon S3,
Amazon SNS, Amazon SQS, Amazon SWF, Amazon SES, etc
• Build in redundancy at every level.
• Start SQL. Seriously.
• Cache data both inside and outside your
infrastructure
• Use automation tools in your infrastructure

79. A Quick Review
• Make sure you have good
metrics/monitoring/logging tools in place
• Split tiers into individual services ( SOA )
• Use Auto Scaling once you’re ready for it
• Don’t reinvent the wheel
• Move to NoSQL if/when it makes sense

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

81. To infinity…..

82. User >10mil:
Iterating on top of the
patterns seen here will get
you up and over 100 million
users.

83. User >10mil:
• More fine tuning of your application
• More SOA of features/functionality
• Going from Multi-AZ to Multi-Region
• Needing to start potentially building custom
solutions
• Deep analysis of your whole stack

84. Next steps?
READ! –
• aws.amazon.com/documentation
• aws.amazon.com/architecture
• aws.amazon.com/start-ups

85. Next steps?
START USING AWS –
aws.amazon.com/free/

86. Next steps?
ASK FOR HELP!
• forums.aws.amazon.com
• aws.amazon.com/support
• Your Account Manager
• A Solutions Architect

87. THANKS
FOR
LISTENING!
Matt Auerbach – mauerbac@amazon.com