Scale new business peaks with Amazon auto scaling
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The document discusses Amazon Auto Scaling which allows automatically scaling Amazon EC2 capacity up or down according to conditions defined using simple scaling policies. This helps align infrastructure capacity with application demand, reduces costs for unused resources, and ensures sufficient resources are available to handle traffic spikes. Auto Scaling can help with unpredictable and predictable load bursts for various business use cases. It provides benefits like cost savings of up to 35% and avoiding lost customers by preventing infrastructure bottlenecks.
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Scale new business peaks with Amazon auto scaling
- 1. AWS Cloud Tour 2011 – India, New Delhi Scale New Business Peaks with Amazon AutoScaling Harish Ganesan CTO and Co-Founder 8KMiles Harish11g.aws@gmail.com
- 2. Load Patterns of Business 1 E-commerce 2 Online Ticketing Compute Compute Weekly Weekly 3 Online Travel 4 During Campaigns Compute Compute Yearly Yearly
- 3. Load Burst Types 1 Un Predictable Bursts 2 Predictable Bursts Compute Compute Time Time
- 4. 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
- 5. 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
- 6. Amazon AutoScaling Architecture EC2 Instance Elastic Load Balancer … Amazon CloudWatch Scale Up Key Concepts : Scale Up 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
- 7. Auto Scaling : Unpredictable Burst 2 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-configuration my-lconfig --max-size 24 --min-size 4 --cooldown 180 --load-balancers my-load-balancer
- 8. Auto Scaling : Predictable Burst 1 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-action my-group –name “My-scale- up” -- time “2011-11-12T02:00:00Z” -min 10 -max 50
- 9. Candidates for Auto Scaling • Web Tier • Application Tier • Caching Tier • Load Balancing Tier • Other Stateless Tiers
- 10. Auto Scaling Benefits : Cost Savings 1 35 % savings 2 30 % savings Compute Compute Time Time 30 % savings 3 35 % savings Compute Time
- 11. 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
- 12. 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
- 13. Thank You For more details on how we can help your business , contact Harish11g.aws@gmail.com Visit us at cloud.8KMiles.com