Optimizing Costs and Efficiency of AWS Services
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This session is a deep dive into techniques used by successful customers who optimized their use of AWS. Learn tricks and hear tips you can implement right away to reduce waste, choose the most efficient instance, and fine-tune your spending; often with improved performance and a better end-customer experience. We showcase innovative approaches and demonstrate easily applicable methods to save you time and money with Amazon EC2, Amazon S3, and a host of other services.
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Optimizing Costs and Efficiency of AWS Services
- 1. ©2015, Amazon Web Services, Inc. or its affiliates. All rights reserved Cost Optimization Tom Johnston Cloud Economics Team
- 2. Do you • Wear green eye-shades? • Work from the console?
- 3. You’re using AWS. You like it.
- 4. But maybe you are spending more than you planned
- 5. Or you’d just like to spend less
- 6. What should you do?
- 8. Some tools
- 10. And some examples from other customers like you
- 11. How are you controlling the provisioning of resources?
- 12. Control who can provision resources
- 13. Require tagging
- 14. “No tags? No instance” – Large financial services customer in Boston
- 15. Best practices: • Control who can provision resources via IAM • Require tagging – Inspect – Stop instances without tags
- 16. Savings potential 100% if you don’t start instances you don’t need!
- 17. Are you identifying and terminating idle resources?
- 18. How do I identify idle resources?
- 19. AWS Trusted Advisor runs 100+ configuration checks and recommends savings
- 20. We are using AWS Trusted Advisor to improve cost efficiency and to audit the configurations of service platforms
- 21. Trusted Advisor
- 22. How do I handle demand spikes?
- 23. Design for elasticity rather than deploy for peak
- 24. Use Auto Scaling or queue-based approaches to add resources when needed, and turn them off when not Amazon SQS Queue Auto Scaling
- 25. Problem: Workloads arrive asynchronously and require isolation Solution: Amazon Simple Queue Service and launch/ termination of instances Amazon SQS
- 26. Problem: How to scale up to accommodate sudden traffic spikes? Solution: Auto ScalingAuto Scaling
- 27. Auto Scaling real world example • Baseline traffic: 300+ thousand pages / hour 130 TB/month outbound traffic • Peak: 2.0+ million pages / hour (~7x baseline) • Architectural changes: e.g., move from local SSDs to provisioned IOPS needed due to this scale • Auto Scaling provides 23% savings over three years
- 28. Best practices • Identify idle resources using Trusted Advisor • Turn them off • Design to scale up and scale down using Auto Scaling or a queue-based approach • Match your usage and capacity—don’t pay for idle resources!
- 29. Are you using the most cost-effective instances or resources?
- 31. How can I tell if there’s a match or mismatch?
- 32. Use Amazon CloudWatch to collect and track metrics CloudWatch
- 33. Amazon CloudWatch monitoring Basic • 7 metrics for Amazon EC2 including: – CPU utilization – Data transfer – Disk usage and more • 5-minute frequency • Metrics for Amazon EBS, Amazon DynamoDB, Amazon RDS, etc. Detailed • 1-minute frequency • Aggregation by instance type and AMI
- 34. Why does this matter?
- 35. Different instances cost different amounts
- 36. Instance families: Example Instance vCPU Mem (GiB) Monthly price (3-yr heavy RI ) Ideal use case c3.2xlarge 8 15 $121.22 Best price-compute performance m3.2xlarge 8 30 $161.15 Balanced r3.2xlarge 8 61 $189.66 Lowest cost per GiB RAM r3.xlarge 4 30.5 $94.83 Lowest cost per GiB RAM
- 37. Do you need continuous compute or does bursting work for you?
- 38. t2.medium • 4 GiB RAM • Baseline performance: 40% • Bursts beyond this based on CPU credits • Less than $18 per month • Details: http://amzn.to/1sl2bKa • Web servers, dev, small databases t2
- 39. t2 vs m3.medium or c3.large Instance vCPU Mem (GiB) Monthly price (3-yr heavy RI ) Ideal use case m3.medium 1 3.75 $20.16 Always available, balanced c3.large 2 3.75 $29.95 Always available, compute t2.medium 2 4 $17.87 Bursty workloads
- 41. Consider switching to a t2?
- 42. Guidance • Inspect your workloads (use CloudWatch!) • Can your workload run on a t2? • If not, is it memory intensive? àr3 • Is it compute intensive? à c3 • Others to consider: – i2 for storage-optimized – g2 for GPU
- 45. Savings potential If t2 works for you • 11%: Switch from m3.medium to t2.medium • 40%: Switch from c3.large to t2.medium Instance optimization • 25%: Switch to c3 for compute-intensive apps (m3.2xl -> c3.2xl) • 41%: Switch to r3 for memory-intensive apps (m3.2xl -> r3.xlarge)
- 46. Best practices: 1. Monitor instances with CloudWatch 2. Switch to t2 as possible 3. Use compute- and memory-focused instances as needed
- 47. Do you need long- term storage?
- 48. Amazon Glacier Extremely low-cost cloud storage service Amazon Glacier
- 49. Are you purchasing in the most cost- effective way?
- 50. Commitment and spot save $
- 51. Use Reserved Instances if possible: Up to 60% savings + capacity reservation
- 52. AWS Trusted Advisor identifies savings attainable via Reserved Instancess
- 54. Use Spot Instances for non-stateful workloads Pricing starts at 90% off
- 55. Novartis, Cycle Computing & AWS Spot Instances
- 56. Goal: Screen 10 million compounds against a common cancer target in < 1 week
- 58. 39 drug design years in 11 hours
- 60. Cost of $4,232
- 61. Savings potential • 40%: 1-Year Reserved Instances • 60%: 3-Year Reserved Instances • Up to 90%: Spot Instances
- 62. Could you save by letting AWS do more work for you?
- 63. Focus on what you do best
- 64. Let AWS solve other problems for you
- 65. AWS’s higher- level services automate your work and save you money CloudFront DynamoDB Amazon RDS ElastiCache Amazon Redshift Amazon EMR Amazon Kinesis Amazon WorkSpaces
- 66. Are you modeling and monitoring your spend?
- 68. Detailed billing reports and cost insights
- 71. Demo CloudWatch
- 75. • Control and verify • Design for elasticity • Match resources and workload • Purchase for savings • Use application services • Model and track Frameworks to remember
- 76. Tools to use • IAM, AWS console • Auto Scaling, Amazon SQS • Amazon CloudWatch • AWS Trusted Advisor • Detailed billing reports and Cost Explorer • Partners
- 77. • Turn off untagged resources • Stop idle instances • Use instances matched to task and less expensive ones • Baseload with RIs • Use Spot Instances for non- stateful workloads • Model and track spending Best practices
- 78. SAN FRANCISCO
- 79. ©2015, Amazon Web Services, Inc. or its affiliates. All rights reserved Cost Optimization Tom Johnston Cloud Economics
- 80. SAN FRANCISCO ©2015, Amazon Web Services, Inc. or its affiliates. All rights reserved Enterprise Pre-Day
- 81. Trusted Advisor
- 82. m3.medium