The document discusses how Amazon AutoScaling allows companies to seamlessly scale their compute capacity on Amazon EC2 instances up and down automatically based on demand, allowing businesses to handle unpredictable load bursts efficiently and save costs by not over-provisioning resources when demand is low. It provides examples of how AutoScaling can be configured to address both unpredictable and predictable load patterns and bursts and the benefits it provides around availability, costs savings, and avoiding lost customers.

1. Scale
New
Business
Peaks
with
Amazon
AutoScaling
Harish
Ganesan
CTO
8KMiles

2. Scale New Business Peaks with
Amazon AutoScaling
Harish Ganesan
CTO and Co-Founder
8KMiles
harish@8kmiles.com

3. Load Patterns of Business
E-commerce Online Ticketing
Compute
Compute
Weekly
Weekly
Online Travel Online Tests / Campaigns
Compute
Compute
Yearly
Yearly

4. Load Burst Types
Un Predictable Bursts Predictable Bursts
Compute
Compute
Time
Time

5. 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

6. 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

7. Amazon AutoScaling Architecture
EC2 Instance
Elastic Load
Balancer
… Amazon CloudWatch
Scale Up
Scale Up
Key Concepts : 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

8. Auto Scaling : Unpredictable Burst
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-­‐configura@on
my-­‐lconfig
-­‐-­‐max-­‐size
24
-­‐-­‐min-­‐size
4
-­‐-­‐cooldown
180
-­‐-­‐load-­‐balancers
my-­‐load-­‐balancer

9. Auto Scaling : Predictable Burst
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-­‐ac@on
my-­‐group
–name
My-­‐scale-­‐
up -­‐-­‐
@me
2011-­‐11-­‐12T02:00:00Z
-­‐min
10
-­‐max
50

10. Candidates for Auto Scaling
• Web
Tier
• Applica@on
Tier
• Caching
Tier
• Load
Balancing
Tier
• Other
Stateless
Tiers

11. Auto Scaling Benefits : Cost Savings
35 % savings 30 % savings
Compute
Compute
Time
Time
30 % savings
35 % savings
Compute
Time

12. 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

13. 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

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