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Large-Scale Load Testing
Amazon.com’s Traffic on AWS
Carlos Arguelles, Amazon.com
November 15, 2013

© 2013 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.
What I’d like you to get out of this
Load and performance issues cost
What I’d like you to get out of this
What I’d like you to get out of this
How you can leverage AWS for load and stress tests
About me
Amazon.com retail site
Amazon.com receives a LOT of traffic
Amazon.com retail site
Significant fluctuation throughout the day

(not to scale)
Amazon.com retail site
Significant fluctuation throughout the year

(not to scale)
Amazon.com retail site
Significant growth year to year

(not to scale)
Some load-related issues

can
1st

test (cancelled)

100%

85%
2nd test (successful)

50%
regular day (off-peak)

CPU Usage on our fleet
Some load-related issues

can only
Ingestion
Fleet

Amazon S3

Hadoop

Amazon
Database
DynamoDB

Output
Fleet
Some load-related issues

cannot
Start load…
20%

5%
Disk
Usage

5 hours
What do you really want to do?
Performance
Testing

Load
Testing

Resilience
Testing

Stress
Testing
Load Testing
Stress Testing
Resilience Testing
Performance Testing
How does AWS help us?
Generating load

Replays from real-world traffic

Artificial rate, blend of operations
Most useful AWS design pattern, ever
Distributing load, the hard way
Slave

Master

4000
3000 TPS

Slave

4000
3000 TPS

Slave

4000
3000 TPS

Slave

0 TPS
3000 TPS

12,000 TPS
Distributing load, the easy way

Controller
Controller

Job
Job
Job
Job
Job
Job
Job

Worker
Worker
Worker
Worker
Worker
Worker
Worker
Replaying traffic to generate load
Test Data
Repository

Controller
Controller

Metrics &
Dashboards
Job
Job
Job
Job
Job
Job
Job

Worker
Worker
Worker
Worker
Worker
Worker
Worker

Service
under test
Amazon S3 for storing data
Amazon DynamoDB for
indexing
Test Data
Repository

Controller
Controller

Reactive
auto scaling
based on
queue size

Job
Job
Job
Job
Job
Job
Job

Amazon SQS
for state,
resilience

Amazon
CloudWatch
Metrics &
Dashboards

Worker
Worker
Worker
Worker
Worker
Worker
Worker

Amazon EC2 & Auto Scaling
for hardware
Generating load

Replays from real-world traffic

Artificial rate, blend of operations
Artificial traffic to generate load
• Why?
– You do not have
real-world data
– You expect a
change in traffic

• How?
– Control rate
– Control blend
– Control duration
Artificial traffic to generate load
50,000 TPS
for 20 minutes

Minute#1: 50,000 TPS, 99% 1%

99% Read, 1% Writes

Minute#20: 50,000 TPS, 99% 1%

85,000 TPS
for 45 minutes
90% Read, 10% Writes

Minute#1

…

10 TPS
for 1 minute,
99% R 1% W
10 TPS
for 1 minute,
99% R 1% W

1

2

…

95,000 TPS
for 3 hours
80% Read, 20% Writes

10 TPS
for 1 minute,
99% R 1% W

5000
Artificial traffic to generate load

Controller
Controller

Job
Job
Job
Job
Job
Job
Job

Worker
Worker
Worker
Worker
Worker
Worker
Worker
Amazon EC2 Spot Instances
• A great way to inexpensively test
– Up to 90% off regular price (name your price)
– Interruption-tolerant, time-flexible tasks

• Approaches
– Combine with on-demand instances (burst)
– Try Spot Instances first, then fallback to on-demand
Takeaways
Please give us your feedback on this
presentation

CPN102
As a thank you, we will select prize
winners daily for completed surveys!

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