Scale new business peaks with Amazon auto scaling

1. AWS Cloud Tour 2011 – India,
New Delhi
Scale New Business Peaks with
Amazon AutoScaling
Harish Ganesan
CTO and Co-Founder
8KMiles
Harish11g.aws@gmail.com

2. Load Patterns of Business
1 E-commerce 2 Online Ticketing
Compute
Compute
Weekly Weekly
3 Online Travel 4 During Campaigns
Compute
Compute
Yearly Yearly

3. Load Burst Types
1 Un Predictable Bursts 2 Predictable Bursts
Compute
Compute
Time Time

4. Traditional Scaling
Lost customers • Fixed capacity
• Under utilization of
resources
• Lost Customers
Amazon Auto Scaling
• Align no. of instances
with demand
• Flexible capacities and
scaling sizes
• Save costs

5. Amazon AutoScaling
• Handle all the variety of load bursts and
patterns
• Scale out Amazon EC2 instances
seamlessly and automatically when demand
increases
• Scale down unwanted Amazon EC2
instances automatically and save money
when demand subsides
• Decide the scaling based on AWS
CloudWatch metrics

6. Amazon AutoScaling Architecture
EC2 Instance
Elastic Load
Balancer
… Amazon CloudWatch
Scale Up
Key Concepts : Scale Up
Rule
EC2 Instance
• Launch Configuration Scale Down
Scale
Down
• Auto Scaling Group Rule
• Trigger Scale Up
• Policy Predefined
Scaling
• Alarm Auto Scaling Scale Down Activity
Group

7. Auto Scaling : Unpredictable Burst
2 Un Predictable Bursts • Configure On demand Auto
Scaling policy
Compute
• Create policies for both
Scaling out and Scaling
down scenarios
Time • Auto Scaling will respond to
changing conditions
dynamically
%as-create-auto-scaling-group as-group --availability-zones us-east-1c –
launch-configuration my-lconfig --max-size 24 --min-size 4 --cooldown
180 --load-balancers my-load-balancer

8. Auto Scaling : Predictable Burst
1 Predictable Bursts
Compute
• Configure Time based Auto
Scaling plan
• PutScheduledUpdateGroup
Time Action - specify the date and
time of execution, minimum,
maximum, and desired
Instance size of capacity
% as-put-scheduled-update-group-action my-group –name “My-scale-
up” -- time “2011-11-12T02:00:00Z” -min 10 -max 50

9. Candidates for Auto Scaling
• Web Tier
• Application Tier
• Caching Tier
• Load Balancing Tier
• Other Stateless Tiers

10. Auto Scaling Benefits : Cost Savings
1 35 % savings 2 30 % savings
Compute
Compute
Time Time
30 % savings
3 35 % savings
Compute
Time

11. Auto Scaling Benefits : No Lost
customers
We can closely align our Infrastructure
with our load requirements and save
costs
Benefits of AutoScaling – work in
Happier DevOpsprogress
!!!
Source: AWS

12. Key Points to Remember
• Log Files , Data Files and Sessions
• Multiple AZ’s inside a Region
• EBS Backed AMI’s are faster to launch
• Multiple Instances Types in an Auto Scaling group
• Combining Custom CloudWatch Metrics opens huge
possibilities
• Evaluate Traditional Monitoring

13. Thank You
For more details on how we can help your
business , contact
Harish11g.aws@gmail.com
Visit us at cloud.8KMiles.com