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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Boyd McGeachie
Sr. Product Manager, EC2 Spot
Amazon Web Services
August 14, 2017
Getting the Most Bang for Your Buck
with #EC2 #Winning
Amazon EC2 purchasing options
On-Demand
Pay for compute capacity by the
hour with no long-term
commitments
For spiky workloads, or to define
needs
Reserved
Make a 1- or 3-year commitment
and receive a significant
discount over On-Demand
For committed or baseline
utilization
Spot
Pay market price for unused
compute capacity at a steep
discount over On-Demand
For fault-tolerant, time-insensitive, or
transient workloads
Pillars of performance and cost optimization
EC2 Right
Sizing
Purchasing
options
Increase
elasticity
Measure,
monitor, &
improve
EC2 Right Sizing
EC2 Right Sizing
• Selecting the cheapest instance available
while meeting performance requirements
• Looks at CPU, RAM, storage, and network
utilization to identify potential instances that
can be downsized
Increase elasticity
Turn off non-production instances
• Look for dev/test, non-prod instances that are
running always-on and turn off
Auto-scale production
• Use Auto Scaling to scale up and down based
on demand and usage (for example, spikes)
Measure, monitor, and improve: Uncover the
cost-optimization opportunities
Auto-tag resources
Identify always-on non-prod
Identify instances to downsize
Recommend RIs to purchase
Dashboard our status
Report on savings
AWS pricing principles
Pay as you go
Pay less when you reserve Pay less when AWS grows
No up-front investment
We completed the equivalent
of 39 years of computational
chemistry in just under 9 hours
for a cost of around $4200.
Steve Litster
Global Head of Scientific Computing, Novartis
”
“
Novartis: Acceleration of pre-clinical R&D
• Existing infrastructure to screen 10
million compounds in a computational
model not available
• New infrastructure would have cost
approximately $40 million to build
Novartis used AWS for HPC
computational chemistry
Amazon EC2 purchasing options
On-Demand Reserved Spot
EC2 On-Demand pricing
Short-term, spiky, and
unpredictable
Low cost and
flexible
Develop and test
EC2 Reserved pricing
Up-front payments to
reduce costs
Steady state Optional capacity
reservation
New
Change Instance
families, operating
system and tenancy
Savings Potential
Lease Terms
Change AZ, Instance
size (Linux),
networking type
Reserved Instance overview
Determining the best RI option for your needs
Standard
Yes
No
1 or 3 Years
Yes
Up to 75%
No Upfront
Partial Upfront
All Upfront
Payment
Convertible
Yes
Yes
3 Years Only
Yes
Up to 56%
No Upfront
Partial Upfront
All Upfront
Regional benefit?
Convertible Reserved Instances
With a Convertible RI you can:
Convert to a new instance family, e.g., R3 to C3 to T2 to M4
Convert to a new instance price, e.g., if AWS reduces the public rate of your
instances
Convert to a new operating system, e.g., Windows to Linux
Convert to a new instance size
Convert tenancy, e.g., from Dedicated Instances to default
Convert to a different payment option, e.g., No Upfront to Partial Upfront
EC2 Instance growth
2007 2008 201120102009 20162013 2014 2015
3
60+
Increasing customer choice through accelerating
instance innovation
Instances launched in 2016:
• Accelerated Computing: p2
• Memory Optimized: r4; x1.16xl
• I/O Optimized: i3
5
7
11
12
23
42
52
Change Instance
families, operating
system and tenancy
Savings Potential
Lease Terms
Change AZ, Instance
size (Linux),
networking type
Reserved Instance overview
Determining the best RI option for your needs
Standard
Yes
No
1 or 3 Years
Yes
Up to 75%
No Upfront
Partial Upfront
All Upfront
Payment
Convertible
Yes
Yes
3 Years Only
Yes
Up to 56%
No Upfront
Partial Upfront
All Upfront
Regional benefit?
Capacity
Reservation Benefit?
Automatic discount
across AZs?
Automatic discount
across instances
sizes?
Regional Benefit overview
Zonal Yes No
Sellable on the RI
Marketplace?
Regional
YesNo
No Yes Yes No
EC2 Spot pricing
Users with urgent
computing needs or
large amounts of
additional capacity
Time or instance
flexible
Experiment and/or
build cost-sensitive
businesses
Spot Instance details
Options
• Spot fleet to maintain instance
availability
• Spot block durations (1-6 hours) for
workloads that must run continuously
Commitment level
• None
* Compared to On-Demand price based on specific EC2 instance type, region, and Availability Zone
Spot Rules
Markets where the price of compute changes based on supply and demand
You’ll never pay more than your bid
50% bid of OD
75% bid of OD
25% bid of OD
You pay the
market price
85% discount!
Spot Advisor
Which EC2 consumption model is right for me?
Have a balanced meal!
Why choose just one business model?
Use a combination of all three!
1. Use Reserved Instances for
known/steady-state workloads
2. Set up multiple Auto Scaling
groups
3. Scale using Spot, On-Demand,
or both
0
2
4
6
8
10
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
/Spot
On-Demand
Spot
Reserved
Examples
Example: Three-tier web app
Tagging is essential!
• How do we explain the costs?
• How do we allocate the
charges to the right team?
• How do we save money?
Tagging is essential!
Stateless
Scale based on demand
Web tier
0
5
10
15
20
25
30
35
40
0 2 4 6 8 10 12 2 4 6 8 10
Web servers
Reserved Spot On-Demand
0
50
100
150
200
250
300
350
400
0 2 4 6 8 10 12 2 4 6 8 10
Web traffic
App tier
Stateful
Scale based on demand
0
10
20
30
40
50
0 2 4 6 8 10 12 2 4 6 8 10
App servers
Reserved On-Demand Spot block
0
100
200
300
400
500
0 2 4 6 8 10 12 2 4 6 8 10
App requests
Database tier
Highly stateful
Static at peak load
0
0.5
1
1.5
2
2.5
3
3.5
0 2 4 6 8 10 12 2 4 6 8 10
Database servers
Reserved On-Demand Spot
0
100
200
300
400
500
600
700
800
900
0 2 4 6 8 10 12 2 4 6 8 10
Database requests
Summary: Three-tier web app
0
10
20
30
40
50
60
70
80
90
0 2 4 6 8 10 12 2 4 6 8 10
Three-tier application servers
Reserved On-Demand Spot
Summary
Have a balanced meal! Across the three
tiers, our meal consists of:
• Spot 13%
• On-Demand 11%
• Reserved 76%
Remember!
“No server is easier to manage than no
server” - Werner Vogels, CTO, Amazon.com
Ubisoft uses AWS to develop and launch
social games quickly
• Ubisoft is a Paris-based gaming company, and
creator of popular gaming titles, including Assassins
Creed, Far Cry, and Just Dance
• Moving games to social and mobile platforms
required capacity to scale fast; using a traditional
environment would be an extensive and costly
investment
• Using the AWS Cloud to optimize games at the
application, caching, and data layers, improving the
user experience
”
“ By using the AWS cloud we
were able to launch 10 social
games within 18 months.
Lenin Gali
Senior Director, Ubisoft
Example: Grid processing
Time
Typical server utilization rates are low due to need to deploy for peak needs…
The old way: Low utilization, high costs
Time
Higher grid utilization rates result in hidden costs: longer queue wait times
and delayed results
The old way: Managing utilization with grids
0
20
40
60
80
100
120
140
160
3 year Reserved Instances
?
The old way: In the cloud!
Higher utilization can reduce IT spending…
0%
20%
40%
60%
80%
100%
Grid Utilization
The world as seen by central IT
-600%
-500%
-400%
-300%
-200%
-100%
0%
100%
0
200
400
600
800
1000
1200
1400
Jobs in the Queue
Grid Utilization
But higher utilization also creates IT constraints…
Every job in the
queue represents
business impact
But grid utilization
looks great!
The world as seen by the business
Reduced Time
Project
Acceleration
Scale higher to reduce time to results: shorter wait times, greater agility,
faster innovation cycles
The cloud way: Scalability when needed
?
The new way: In the cloud!
0
100
200
300
400
500
600
1 2 3 4 5 6 7 8 9 10 11 12
Optimizing for cost and business results
Spot
Spot block
On-Demand
3 year Reserved Instances
0
100
200
300
400
500
600
1 2 3 4 5 6 7 8 9 10 11 12
Going a step further with Spot blocks!
Spot
Spot block
On-Demand
3 year Reserved Instances
The new way: In the cloud!
?
“We constantly understate what our capabilities are to solve problems. The
biggest constraint is never the constraint of time or money, it’s generally the
constraint of thought.”
– Jeff Smith, CEO, Suncorp Business Services
Founded: 1996 • Employees: 15,000+ • Headquarters: Brisbane, Australia
Accelerating transformation
EC2 purchasing options by industry
Web scale (e.g. , Adtech) company Enterprise SaaS company
Consumption model by industry
Onboarding enterprise Gaming company
Consumption model by industry
Technology companyScientific research
Consumption model by industry
Different purchasing options in a single company
Data science
New app development Test and development
Internal IT
Let’s recap
 Remember the pillars of optimization
 EC2 Right Sizing
 Increase elasticity (turn stuff off!)
 Measure, monitor, and improve
 Use tags to understand your services
 There are three core purchasing options –
have a balanced meal
 Architect your workloads with performance
and cost in mind
Summary
Freedom to build
unfettered
Freedom to get real
value from data
Freedom to say yes
AWS is more cost-effective in both short-term and long-term than on-premises
environments. By leveraging the EC2 consumptions models you gain the…
Thank you!

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SRV301 Getting the Most Bang for your Buck with #EC2 #Winning

  • 1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Boyd McGeachie Sr. Product Manager, EC2 Spot Amazon Web Services August 14, 2017 Getting the Most Bang for Your Buck with #EC2 #Winning
  • 2. Amazon EC2 purchasing options On-Demand Pay for compute capacity by the hour with no long-term commitments For spiky workloads, or to define needs Reserved Make a 1- or 3-year commitment and receive a significant discount over On-Demand For committed or baseline utilization Spot Pay market price for unused compute capacity at a steep discount over On-Demand For fault-tolerant, time-insensitive, or transient workloads
  • 3. Pillars of performance and cost optimization EC2 Right Sizing Purchasing options Increase elasticity Measure, monitor, & improve
  • 4. EC2 Right Sizing EC2 Right Sizing • Selecting the cheapest instance available while meeting performance requirements • Looks at CPU, RAM, storage, and network utilization to identify potential instances that can be downsized
  • 5. Increase elasticity Turn off non-production instances • Look for dev/test, non-prod instances that are running always-on and turn off Auto-scale production • Use Auto Scaling to scale up and down based on demand and usage (for example, spikes)
  • 6. Measure, monitor, and improve: Uncover the cost-optimization opportunities Auto-tag resources Identify always-on non-prod Identify instances to downsize Recommend RIs to purchase Dashboard our status Report on savings
  • 7. AWS pricing principles Pay as you go Pay less when you reserve Pay less when AWS grows No up-front investment
  • 8. We completed the equivalent of 39 years of computational chemistry in just under 9 hours for a cost of around $4200. Steve Litster Global Head of Scientific Computing, Novartis ” “ Novartis: Acceleration of pre-clinical R&D • Existing infrastructure to screen 10 million compounds in a computational model not available • New infrastructure would have cost approximately $40 million to build Novartis used AWS for HPC computational chemistry
  • 9. Amazon EC2 purchasing options On-Demand Reserved Spot
  • 10. EC2 On-Demand pricing Short-term, spiky, and unpredictable Low cost and flexible Develop and test
  • 11. EC2 Reserved pricing Up-front payments to reduce costs Steady state Optional capacity reservation New
  • 12. Change Instance families, operating system and tenancy Savings Potential Lease Terms Change AZ, Instance size (Linux), networking type Reserved Instance overview Determining the best RI option for your needs Standard Yes No 1 or 3 Years Yes Up to 75% No Upfront Partial Upfront All Upfront Payment Convertible Yes Yes 3 Years Only Yes Up to 56% No Upfront Partial Upfront All Upfront Regional benefit?
  • 13. Convertible Reserved Instances With a Convertible RI you can: Convert to a new instance family, e.g., R3 to C3 to T2 to M4 Convert to a new instance price, e.g., if AWS reduces the public rate of your instances Convert to a new operating system, e.g., Windows to Linux Convert to a new instance size Convert tenancy, e.g., from Dedicated Instances to default Convert to a different payment option, e.g., No Upfront to Partial Upfront
  • 14. EC2 Instance growth 2007 2008 201120102009 20162013 2014 2015 3 60+ Increasing customer choice through accelerating instance innovation Instances launched in 2016: • Accelerated Computing: p2 • Memory Optimized: r4; x1.16xl • I/O Optimized: i3 5 7 11 12 23 42 52
  • 15. Change Instance families, operating system and tenancy Savings Potential Lease Terms Change AZ, Instance size (Linux), networking type Reserved Instance overview Determining the best RI option for your needs Standard Yes No 1 or 3 Years Yes Up to 75% No Upfront Partial Upfront All Upfront Payment Convertible Yes Yes 3 Years Only Yes Up to 56% No Upfront Partial Upfront All Upfront Regional benefit?
  • 16. Capacity Reservation Benefit? Automatic discount across AZs? Automatic discount across instances sizes? Regional Benefit overview Zonal Yes No Sellable on the RI Marketplace? Regional YesNo No Yes Yes No
  • 17. EC2 Spot pricing Users with urgent computing needs or large amounts of additional capacity Time or instance flexible Experiment and/or build cost-sensitive businesses
  • 18. Spot Instance details Options • Spot fleet to maintain instance availability • Spot block durations (1-6 hours) for workloads that must run continuously Commitment level • None * Compared to On-Demand price based on specific EC2 instance type, region, and Availability Zone
  • 19. Spot Rules Markets where the price of compute changes based on supply and demand You’ll never pay more than your bid 50% bid of OD 75% bid of OD 25% bid of OD You pay the market price 85% discount!
  • 21. Which EC2 consumption model is right for me?
  • 22. Have a balanced meal! Why choose just one business model?
  • 23. Use a combination of all three! 1. Use Reserved Instances for known/steady-state workloads 2. Set up multiple Auto Scaling groups 3. Scale using Spot, On-Demand, or both 0 2 4 6 8 10 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 /Spot On-Demand Spot Reserved
  • 26. Tagging is essential! • How do we explain the costs? • How do we allocate the charges to the right team? • How do we save money?
  • 28. Stateless Scale based on demand Web tier 0 5 10 15 20 25 30 35 40 0 2 4 6 8 10 12 2 4 6 8 10 Web servers Reserved Spot On-Demand 0 50 100 150 200 250 300 350 400 0 2 4 6 8 10 12 2 4 6 8 10 Web traffic
  • 29. App tier Stateful Scale based on demand 0 10 20 30 40 50 0 2 4 6 8 10 12 2 4 6 8 10 App servers Reserved On-Demand Spot block 0 100 200 300 400 500 0 2 4 6 8 10 12 2 4 6 8 10 App requests
  • 30. Database tier Highly stateful Static at peak load 0 0.5 1 1.5 2 2.5 3 3.5 0 2 4 6 8 10 12 2 4 6 8 10 Database servers Reserved On-Demand Spot 0 100 200 300 400 500 600 700 800 900 0 2 4 6 8 10 12 2 4 6 8 10 Database requests
  • 31. Summary: Three-tier web app 0 10 20 30 40 50 60 70 80 90 0 2 4 6 8 10 12 2 4 6 8 10 Three-tier application servers Reserved On-Demand Spot Summary Have a balanced meal! Across the three tiers, our meal consists of: • Spot 13% • On-Demand 11% • Reserved 76% Remember! “No server is easier to manage than no server” - Werner Vogels, CTO, Amazon.com
  • 32. Ubisoft uses AWS to develop and launch social games quickly • Ubisoft is a Paris-based gaming company, and creator of popular gaming titles, including Assassins Creed, Far Cry, and Just Dance • Moving games to social and mobile platforms required capacity to scale fast; using a traditional environment would be an extensive and costly investment • Using the AWS Cloud to optimize games at the application, caching, and data layers, improving the user experience ” “ By using the AWS cloud we were able to launch 10 social games within 18 months. Lenin Gali Senior Director, Ubisoft
  • 34. Time Typical server utilization rates are low due to need to deploy for peak needs… The old way: Low utilization, high costs
  • 35. Time Higher grid utilization rates result in hidden costs: longer queue wait times and delayed results The old way: Managing utilization with grids
  • 36. 0 20 40 60 80 100 120 140 160 3 year Reserved Instances ? The old way: In the cloud!
  • 37. Higher utilization can reduce IT spending… 0% 20% 40% 60% 80% 100% Grid Utilization The world as seen by central IT
  • 38. -600% -500% -400% -300% -200% -100% 0% 100% 0 200 400 600 800 1000 1200 1400 Jobs in the Queue Grid Utilization But higher utilization also creates IT constraints… Every job in the queue represents business impact But grid utilization looks great! The world as seen by the business
  • 39. Reduced Time Project Acceleration Scale higher to reduce time to results: shorter wait times, greater agility, faster innovation cycles The cloud way: Scalability when needed
  • 40. ? The new way: In the cloud! 0 100 200 300 400 500 600 1 2 3 4 5 6 7 8 9 10 11 12 Optimizing for cost and business results Spot Spot block On-Demand 3 year Reserved Instances
  • 41. 0 100 200 300 400 500 600 1 2 3 4 5 6 7 8 9 10 11 12 Going a step further with Spot blocks! Spot Spot block On-Demand 3 year Reserved Instances The new way: In the cloud! ?
  • 42. “We constantly understate what our capabilities are to solve problems. The biggest constraint is never the constraint of time or money, it’s generally the constraint of thought.” – Jeff Smith, CEO, Suncorp Business Services Founded: 1996 • Employees: 15,000+ • Headquarters: Brisbane, Australia Accelerating transformation
  • 43. EC2 purchasing options by industry
  • 44. Web scale (e.g. , Adtech) company Enterprise SaaS company Consumption model by industry
  • 45. Onboarding enterprise Gaming company Consumption model by industry
  • 47. Different purchasing options in a single company Data science New app development Test and development Internal IT
  • 48. Let’s recap  Remember the pillars of optimization  EC2 Right Sizing  Increase elasticity (turn stuff off!)  Measure, monitor, and improve  Use tags to understand your services  There are three core purchasing options – have a balanced meal  Architect your workloads with performance and cost in mind
  • 49. Summary Freedom to build unfettered Freedom to get real value from data Freedom to say yes AWS is more cost-effective in both short-term and long-term than on-premises environments. By leveraging the EC2 consumptions models you gain the…