Auto Scaling
COMPUTE
TIME
COMPUTE
TIME
1- UN PREDICTABLE BURSTS 2- PREDICTABLE BURSTS
Load Scenarios
Business Scenario-01
You are launching
a new application
You are unsure if the users will
like the application.
?
You can ...
YOU START A NEW BUSINESS
AFTER SOME TIME
You start procuring
hardware to meet
the requirements
DEMAND DIPS
AFTER INITIAL
S...
Business Scenario-03
SERVERS SERVERS
PEAK LOAD REGULAR LOAD
INFRASTRUCTURE
TIME
HARDWARE SUPPORT
PLANNED LOAD
ACTUAL LOAD
UNDER PROVISION
OVER PROVISION
Under and Over provisioning
Auto Scaling
A cloud computing service feature that automatically
adds or removes compute resources depending upon actual ...
CAPACITY
TIME
We can closely align our
infrastructure with our load
requirement and save costs.
AUTOMATES EC2 TO
Scale out...
Do not have to
worry about
capacity planning
Minimal manual
intervention
No time wastage on
hardware
procurement
You can s...
CLOUD
WATCH
Auto
Scale
How Auto
Scaling
AUTO SCALE
+ -
POLICIES
LaunchNew
Server
ReportServer
Load
TO ADD
RESOURCE
TO Remo...
Points to Remember before Scaling out / down
Ensure that following resources are not lost during scale-down
Log files
Data...
Cannot be used to launch different configuration servers
Cannot be used to scale an Amazon RDS instance
Cannot be done acr...
From
The
Evening
Snapshots
From
The
Evening
Snapshots
From
The
Evening
Snapshots
Delhi NCR, India
Mumbai, India
London, UK
San Jose, US
Los Angeles, US
Intelligrape Offices
OUR DEVELOPMENT
CENTER
Noida
S...
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Demystifying Auto Scaling : Evening Session on AWS CloudFront & Auto Scaling by Amazon and IntelliGrape Software

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IntelliGrape Software in association with AWS presented an Evening Session on AWS CloudFront & Auto Scaling at Hyatt Regency, Delhi on 27th September. The event saw engagement from CEOs, CTOs and CIOs of e-commerce companies, start-ups and enterprises with a purpose to understand CloudFront and Auto Scaling better.

Some of the fundamental questions every digital business, especially the infrastructure teams within the business, ask is cost, scale, speed, flexibility and wastage reduction. Agenda of the session was to share views and discuss on how AWS CloudFront & Auto Scaling endeavors to address these questions.

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Demystifying Auto Scaling : Evening Session on AWS CloudFront & Auto Scaling by Amazon and IntelliGrape Software

  1. 1. Auto Scaling
  2. 2. COMPUTE TIME COMPUTE TIME 1- UN PREDICTABLE BURSTS 2- PREDICTABLE BURSTS Load Scenarios
  3. 3. Business Scenario-01 You are launching a new application You are unsure if the users will like the application. ? You can procure infrastructure lavishly or conservatively
  4. 4. YOU START A NEW BUSINESS AFTER SOME TIME You start procuring hardware to meet the requirements DEMAND DIPS AFTER INITIAL SUCCESS Business Scenario-02 ? What will you do with the investment? KICKS OF
  5. 5. Business Scenario-03 SERVERS SERVERS PEAK LOAD REGULAR LOAD
  6. 6. INFRASTRUCTURE TIME HARDWARE SUPPORT PLANNED LOAD ACTUAL LOAD UNDER PROVISION OVER PROVISION Under and Over provisioning
  7. 7. Auto Scaling A cloud computing service feature that automatically adds or removes compute resources depending upon actual usage
  8. 8. CAPACITY TIME We can closely align our infrastructure with our load requirement and save costs. AUTOMATES EC2 TO Scale out Scale down ACTUAL DEMAND VIRTUALIZED INFRASTRUCTURE AWS Auto scaling
  9. 9. 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
  10. 10. CLOUD WATCH Auto Scale How Auto Scaling AUTO SCALE + - POLICIES LaunchNew Server ReportServer Load TO ADD RESOURCE TO Remove ARESOURCE TerminateServer Monitor Server Load Application server-1 Application server-2Users Works SERVER 1 SERVER 2 SERVER 3 SERVER 4 SERVER LOAD BALANCER
  11. 11. Points to Remember before Scaling out / down Ensure that following resources are not lost during scale-down Log files Data files User Sessions
  12. 12. Cannot be used to launch different configuration servers Cannot be used to scale an Amazon RDS instance Cannot be done across multiple AWS Regions Cannot Differentiate between valid and malicious traffic 01 02 03 04 Things To Remember
  13. 13. From The Evening Snapshots
  14. 14. From The Evening Snapshots
  15. 15. From The Evening Snapshots
  16. 16. Delhi NCR, India Mumbai, India London, UK San Jose, US Los Angeles, US Intelligrape Offices OUR DEVELOPMENT CENTER Noida Sales Office Sales & Development center Let’s Connect /company/intelligrape /intelligrape.software /IntelliGrape
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