The document discusses auto scaling in cloud computing, explaining its importance for managing unpredictable and predictable workloads while reducing costs. It outlines various business scenarios highlighting the need for scalable infrastructure and details how AWS auto scaling automates resource management based on actual demand. Key considerations regarding data preservation during scaling operations and limitations of the service are also mentioned.

2. Auto Scaling

3. COMPUTE
TIME
1- UN PREDICTABLE BURSTS
COMPUTE
TIME
2- PREDICTABLE BURSTS
Load Scenarios

4. Business Scenario-01
You are launching a new
application
You can procure infrastructure lavishly or
conservatively
You are unsure if the users will like
the application.
?

5. Business Scenario-02
YOU START A NEW BUSINESS
AFTER SOME TIME
You start procuring
hardware to meet the
requirements
DEMAND DIPS
AFTER INITIAL
SUCCESS
KICKS OF
?
What will you do with the
investment?

6. Business Scenario-03
SERVER
S
SERVER
S
PEAK LOAD REGULAR LOAD

7. Under and Over provisioning
INFRASTRUCTU
RE
TIME
HARDWARE SUPPORT
PLANNED LOAD
ACTUAL LOAD
UNDER PROVISION
OVER PROVISION

8. A cloud computing service feature that automatically
adds or removes compute resources depending upon actual usage
Auto Scaling

9. AWS Auto scaling
CAPACITY
TIME
AUTOMATES EC2 TO
Scale out
Scale down
ACTUAL DEMAND
VIRTUALIZED INFRASTRUCTURE
We can closely align our infrastructure with
our load requirement and save costs.

10. Do not have to
worry about
capacity planning
Minimal manual
intervention
No time wastage on
hardware procurement
You can scale-down
immediately after the need is
over
Zero CapEx
investment
Start small and upscale
within minutes
With
Auto Scaling
Scale upto 100
instances – pretty huge

11. How Auto Scaling Works
CLOUD
WATCH
SERVER 1
SERVER 2
SERVER 3
SERVER 4
SERVER
LOAD
BALANCER
Auto
Scale
AUTO SCALE
+ -
POLICIES
LaunchNewServer
ReportServerLoad
TO ADD
RESOURCE
TO Remove
ARESOURCE
TerminateServer
Monitor Server
Load
Application server-1 Application server-2Users

12. Points to Remember before Scaling out / down
Ensure that following resources are not lost during scale-down
Log files
Data files
User Sessions

13. Things To Remember
Cannot be used to scale an Amazon RDS instance
Cannot be done across multiple AWS Regions
01
02
03
04
Cannot Differentiate between valid and malicious traffic
Cannot be used to launch different configuration servers

14. Snapshots From The Evening

15. Snapshots From The Evening

16. Snapshots From The Evening

17. Contact us
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