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


        Harish Ganesan
         CTO and Co-Founder
               8KMiles
         harish@8kmiles.com
Load Patterns of Business
              E-commerce                                 Online Ticketing




                                           Compute	
  
Compute	
  




                              Weekly	
                                  Weekly	
  

              Online Travel                              Online Tests / Campaigns
Compute	
  




                                           Compute	
  




                              Yearly	
                                      Yearly	
  
Load Burst Types


              Un Predictable Bursts                   Predictable Bursts
Compute	
  




                                        Compute	
  
                             Time	
                                  Time	
  
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
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
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
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	
  
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	
  
Candidates for Auto Scaling
•    Web	
  Tier	
  	
  
•    Applica@on	
  Tier	
  
•    Caching	
  Tier	
  
•    Load	
  Balancing	
  Tier	
  
•    Other	
  Stateless	
  Tiers	
  
Auto Scaling Benefits : Cost Savings
              35 % savings                                            30 % savings




                                             Compute	
  
Compute	
  




                          Time	
                                                Time	
  
                                                                      30 % savings
                                     35 % savings
                       Compute	
  




                                                           Time	
  
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	
  
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
Thank You
For more details on how we can help your
business , contact

cloud@8KMiles.com
Visit us at cloud.8KMiles.com

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Scale New Business Peaks with Amazon AutoScaling - Harish Ganesan

  • 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