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Scale New Business Peaks with Amazon AutoScaling - Harish Ganesan
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Scale New Business Peaks with Amazon AutoScaling - Harish Ganesan

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Scale New Business Peaks with Amazon AutoScaling - Harish Ganesan Scale New Business Peaks with Amazon AutoScaling - Harish Ganesan Presentation Transcript

  • 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 / CampaignsCompute   Compute   Yearly   Yearly  
  • Load Burst Types Un Predictable Bursts Predictable BurstsCompute   Compute   Time   Time  
  • Traditional Scaling Lost customers •  Fixed capacity •  Under utilization of resources •  Lost CustomersAmazon 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 UpKey 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 YouFor more details on how we can help yourbusiness , contactcloud@8KMiles.comVisit us at cloud.8KMiles.com