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Building [And Realizing] The
Economic Case for AWS
Keith Jarrett
Business Development Manager
Cloud Economics
What to expect
.
We will introduce our approach for
building the business case for
moving to the cloud and share tips
from some of our most innovative
customers who are able to
successfully architect for cost
optimization in order to realize the
economics of the AWS cloud.
In the Beginning . . .
There was TCO
What is TCO?
Definition: Comparative total cost of ownership analysis (acquisition
and operating costs) for running an infrastructure environment end-to-end
on-premises vs. AWS.
Used for:
1) Comparing the costs of running an entire infrastructure environment or
specific workload on premises or in a co-location facility versus on AWS
2) Budgeting and building the business case for moving to AWS
So how do we do it?
≠
TCO = Acquisition Costs + Operations Costs
Hardware – Server, Rack
Chassis PDUs, ToR
Switches (+Maintenance)
Software - OS,
Virtualization Licenses
(+Maintenance)
Facilities Cost
Hardware – Storage Disks,
SAN/FC Switches
Storage Admin costs
Network Hardware – LAN
Switches, Load Balancer
Bandwidth costs
Network Admin costs
Server Admin Virtualization Admin4
Diagram doesn’t include every cost item. E.g. software costs can include database, management, middle tier software costs.
Facilities cost can include costs associated with upgrades, maintenance, building security, taxes etc. IT labor costs can include
security admin and application admin costs.
Space Power Cooling
Facilities Cost
Space Power Cooling
Facilities Cost
Space Power Cooling
Server Costs
Storage Costs
Network Costs
IT Labor Costs
1
2
3
illustrative
Resources to get you started
AWS TCO Calculator
https://awstcocalculator.com
Case Studies & Research
http://aws.amazon.com/economics/
So you’re feeling pretty good.
Until your CFO shows up with the bill.
Cost Optimization is

Going from
 To

Pay for what you Use Pay for what you Need
Where do you start?
The Four Pillars of Cost Optimization
Right Sizing Reserved
Instances
Increase
Elasticity
Measure,
Monitor, &
Improve
Right Sizing
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
Rule of thumb: Right size, then reserve.
(But if you’re in a pinch, reserve first).
Reserved Instances
Step 1: RI Coverage
‱ Cover always on resources
Step 2: RI Utilization
‱ Leverage RI flexibility to increase utilization
Rule of thumb: Target 70-80% always on
coverage and 95% RI Utilization rate.
Increase Elasticity
Turn off non-production instances
‱ Look for dev/test, non-prod instances that are
running always-on and turn off
Autoscale Production
‱ Use Autoscaling to scale up and down based
on demand and usage (e.g. spikes)
Rule of thumb: Shoot for 20-30% of EC2
instances running on demand to be able to
handle elasticity needs.
Putting it all together: Case Study
Challenge:
Minimizing Unit Costs
under period of massive
growth.
A consistent measure of
CPU processing power
Elastic Compute Unit
(ECU)
The Growth Challenge
August 2014
August 2015
1,601 ECU
13,957 ECU
772%
YoY Compute Growth!
33%
DECREASE in
monthly EC2 costs!
Solving the Growth Challenge
Step 1: Right Size & Update Instances
m1 on demand
$0.07 per ECU
c4 on demand
$0.02 per ECU
The Impact of Right Sizing
70% Reduction
in Unit Cost
Step 2: Reserve
The Impact of Reservations
30% Reduction
in Unit Cost
Putting it together
85% Reduction
in Unit Cost!
Sounds pretty easy, right?
Not really.
In reality, it is very complex.
‱ Scale
‱ Behavioral Change
‱ Visibility
‱ Ownership
Cost Optimization Governance
(Remember the 4th Pillar?)
Uncovering the Cost Optimization Opportunities
1. Auto-tag resources
2. Identify ‘always on’ Non Prod
3. Identify instances to down-size
4. Recommend RIs to purchase
5. Dashboard our status
6. Report on savings
AWS Options
Reserved Instances and Right Sizing Options
(Build Your Own)
Example: Reasonably Optimization Dashboard
Laying the Groundwork for Success
Taking Action: Where to Start
‱ Tag instances to allocate costs by tag
and/or account
‱ Enable Detailed Billing Reports with
resource tags (DBR-rt)
‱ Set up CloudWatch metrics such as RAM
utilization for memory intensive workloads
‱ Set up metrics to measure elasticity, RI
coverage, RI utilization, and right-sizing.
Thank You!
Keith Jarrett
Business Development Manager
Cloud Economics
Appendix
And
A Dashboard Ripe with Opportunity
Right Sizing https://github.com/evancraw/AWSOptimizationTemplates
Analysts have shown AWS reduces cost over the long term
Source: IDC, Quantifying the Business Value of Amazon Web Services (May, 2015)
How do customers lower their TCO with AWS?
1
Replace up-front
capital expense with
low variable cost
2
51 Price
Reductions
Economies of scale
allow AWS to
continually lower costs
3
Pricing model choice
to support variable &
stable workloads
4
Save more money as
you grow bigger
On-Demand
Reserved
Spot
Tiered Pricing
Volume
Discounts

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2016 Utah Cloud Summit: TCO & Cost Optimization

  • 1. Building [And Realizing] The Economic Case for AWS Keith Jarrett Business Development Manager Cloud Economics
  • 2. What to expect
. We will introduce our approach for building the business case for moving to the cloud and share tips from some of our most innovative customers who are able to successfully architect for cost optimization in order to realize the economics of the AWS cloud.
  • 3. In the Beginning . . . There was TCO
  • 4. What is TCO? Definition: Comparative total cost of ownership analysis (acquisition and operating costs) for running an infrastructure environment end-to-end on-premises vs. AWS. Used for: 1) Comparing the costs of running an entire infrastructure environment or specific workload on premises or in a co-location facility versus on AWS 2) Budgeting and building the business case for moving to AWS
  • 5. So how do we do it? ≠
  • 6. TCO = Acquisition Costs + Operations Costs Hardware – Server, Rack Chassis PDUs, ToR Switches (+Maintenance) Software - OS, Virtualization Licenses (+Maintenance) Facilities Cost Hardware – Storage Disks, SAN/FC Switches Storage Admin costs Network Hardware – LAN Switches, Load Balancer Bandwidth costs Network Admin costs Server Admin Virtualization Admin4 Diagram doesn’t include every cost item. E.g. software costs can include database, management, middle tier software costs. Facilities cost can include costs associated with upgrades, maintenance, building security, taxes etc. IT labor costs can include security admin and application admin costs. Space Power Cooling Facilities Cost Space Power Cooling Facilities Cost Space Power Cooling Server Costs Storage Costs Network Costs IT Labor Costs 1 2 3 illustrative
  • 7. Resources to get you started AWS TCO Calculator https://awstcocalculator.com Case Studies & Research http://aws.amazon.com/economics/
  • 8. So you’re feeling pretty good.
  • 9. Until your CFO shows up with the bill.
  • 10. Cost Optimization is
 Going from
 To
 Pay for what you Use Pay for what you Need
  • 11. Where do you start?
  • 12. The Four Pillars of Cost Optimization Right Sizing Reserved Instances Increase Elasticity Measure, Monitor, & Improve
  • 13. Right Sizing 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 Rule of thumb: Right size, then reserve. (But if you’re in a pinch, reserve first).
  • 14. Reserved Instances Step 1: RI Coverage ‱ Cover always on resources Step 2: RI Utilization ‱ Leverage RI flexibility to increase utilization Rule of thumb: Target 70-80% always on coverage and 95% RI Utilization rate.
  • 15. Increase Elasticity Turn off non-production instances ‱ Look for dev/test, non-prod instances that are running always-on and turn off Autoscale Production ‱ Use Autoscaling to scale up and down based on demand and usage (e.g. spikes) Rule of thumb: Shoot for 20-30% of EC2 instances running on demand to be able to handle elasticity needs.
  • 16. Putting it all together: Case Study
  • 17. Challenge: Minimizing Unit Costs under period of massive growth. A consistent measure of CPU processing power Elastic Compute Unit (ECU)
  • 18. The Growth Challenge August 2014 August 2015 1,601 ECU 13,957 ECU 772% YoY Compute Growth! 33% DECREASE in monthly EC2 costs!
  • 19. Solving the Growth Challenge
  • 20. Step 1: Right Size & Update Instances m1 on demand $0.07 per ECU c4 on demand $0.02 per ECU
  • 21. The Impact of Right Sizing 70% Reduction in Unit Cost
  • 23. The Impact of Reservations 30% Reduction in Unit Cost
  • 24. Putting it together 85% Reduction in Unit Cost!
  • 25. Sounds pretty easy, right? Not really. In reality, it is very complex. ‱ Scale ‱ Behavioral Change ‱ Visibility ‱ Ownership
  • 27. Uncovering the Cost Optimization Opportunities 1. Auto-tag resources 2. Identify ‘always on’ Non Prod 3. Identify instances to down-size 4. Recommend RIs to purchase 5. Dashboard our status 6. Report on savings
  • 29. Reserved Instances and Right Sizing Options (Build Your Own)
  • 31. Laying the Groundwork for Success Taking Action: Where to Start ‱ Tag instances to allocate costs by tag and/or account ‱ Enable Detailed Billing Reports with resource tags (DBR-rt) ‱ Set up CloudWatch metrics such as RAM utilization for memory intensive workloads ‱ Set up metrics to measure elasticity, RI coverage, RI utilization, and right-sizing.
  • 32. Thank You! Keith Jarrett Business Development Manager Cloud Economics
  • 34. And
A Dashboard Ripe with Opportunity
  • 36. Analysts have shown AWS reduces cost over the long term Source: IDC, Quantifying the Business Value of Amazon Web Services (May, 2015)
  • 37. How do customers lower their TCO with AWS? 1 Replace up-front capital expense with low variable cost 2 51 Price Reductions Economies of scale allow AWS to continually lower costs 3 Pricing model choice to support variable & stable workloads 4 Save more money as you grow bigger On-Demand Reserved Spot Tiered Pricing Volume Discounts

Hinweis der Redaktion

  1. Cost Optimization is a function of the new business model that the Cloud has brought about. By making services genuinely pay for what you use, there’s huge opportunity for customers to be lean with what they use and reduce their spend dramatically.
  2. We see infra for Dev and Test team single timezone Really easy turn off when bed Easier still if non prod separate account In a moment we’ll look at tools large customers use
  3. Previously using m1 instances on-demand and moved to c4 instances. M1s cost 0.07 per ECU, versus 0.02 per ECU.
  4. So although we saw an increase of ECU by almost 8x, our bill only increased by 3x during the same period. Not bad.