Scale new business peaks with Amazon auto scaling
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Scale new business peaks with Amazon auto scaling
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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