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1 | ©2015 Burstorm Inc.
Automated Infrastructure and
Cloud Modeling
Case Study – Example
September 2015
Scott Goessling
VP Cloud – Burstorm, Inc.
scott.goessling@burstorm.com
2 | ©2015 Burstorm Inc.
Current VS. Market
Client has asked Burstorm to provide data comparing the costs of Client’s
existing infrastructure to the publically available market cloud services and set up
a frame work to examine financial impact of future redesigns and potential
optimizations for existing Client environments.
3 | ©2015 Burstorm Inc.
Building the Blueprint for Visualizing
Current State
For the duration of the engagement you will have access to a Burstorm Cloud
Services Specialist who will work with the Client team to gather data and visualize
costs for existing targets
4 | ©2015 Burstorm Inc.
Blueprint (Step 1) – Gather Existing State Data
Inventory and In-house Cost Data
Actual Utilization Data
Network Contract Data
Colocation Contract Data
AWS Bill and Utilization Data Universal
5 | ©2015 Burstorm Inc.
Blueprint (Step 2) – Analyze Existing State Data
Utilization Patterns and Heat Maps
Data and Cost Normalization
Memory Utilization
CPU Utilization
Data Validation
6 | ©2015 Burstorm Inc.
Blueprint (Step 3) – Enter Contract/Svc Data
7 | ©2015 Burstorm Inc.
Blueprint (Step 4) – Import AWS Billing Data
8 | ©2015 Burstorm Inc.
Current State Blueprint
9 | ©2015 Burstorm Inc.
Blueprint Dashboard
Note: “Savings” box indicates annual savings of current market rate vs
current contract rate for only the two U.S. colo contracts listed below.
Universal
Universal Technologies
10 | ©2015 Burstorm Inc.
Blueprint Interactive Contract Data
23 Active
11 | ©2015 Burstorm Inc.
Models and Scenarios
Determine Scenarios of Interest and organize data into associated models
& scenarios based on client priority. Create hierarchy and alternate
views via copy, import, export etc.
1. In-House services
2. OpenStack
3. AWS
4. Organize by location, by app, by region
12 | ©2015 Burstorm Inc.
As-Is Environments
(Legacy, OpenStack and Colo)
13 | ©2015 Burstorm Inc.
Legacy vs Market (As-Is Model)
A match is available for Legacy in current sizing if purchased
as virtual servers as a service. The matching solution is 26%
less than current OpenStack compute costs with TCC factor
Amazon infrastructure is currently deployed in smaller sizes
and will match more often showing more options
Utilization based design and workload redistribution can
have significant cost benefit (Ex. 93% or more in some
models)
Current sizing is 100% custom in
current market. No matches
exist for current deployed sizing
for any of the Client in-house
environments in scope.
Universal
Universal
14 | ©2015 Burstorm Inc.
Two solutions were identified for OpenStack in current
sizing, if purchased as virtual servers, as a service. The
two solutions were 11% and 33% less respectively when
compared to current OpenStack compute costs with TCC
factor included.
Amazon infrastructure is currently deployed in smaller
sizes and will match more often showing more options
Utilization based design and workload redistribution can
have significant cost benefit (Ex. 93% or more in some
models)
OpenStack vs Market (As-Is Model)
Current sizing is 100% custom in current market. No
matches exist for current deployed sizing for any of
the Client in-house environments in scope.
Universal
Universal
15 | ©2015 Burstorm Inc.
Legacy vs OpenStack (As-Is Model)
• Core costs for OpenStack are
40% higher than core costs
for Legacy
• RAM costs for OpenStack are
13% higher than RAM costs
for Legacy
• OpenStack is consistently the
most expensive internal
service by 27-32% (rises with
additional core count)
+27%
OpenStack +27% vs Legacy
Universal
Universal
16 | ©2015 Burstorm Inc.
Colocation vs Market (SV5, As-Is Model)
• Current colocation costs appear
to be much higher than current
market
• Current environments are an
average of 39% higher than
market estimates with
OpenStack currently 51% over
market
• Per kW prices include space and
power but do not factor in any
NRC or installation requirements
like PDUs.
100kW EQX - Legacy EQX - Openstack Layer42 Digital Realty Market Est.
Per kW 376.87 448.65 285.02 190 220.00
Diff Mkt +42% +51% +23% -15% -
Universal
Universal
Universal
17 | ©2015 Burstorm Inc.
Colocation vs Market (AM2, As-Is Model)
• Quoted 24 cabinets @ 3.5kW power in secure cage (suite)
• Current colocation costs appear a bit higher than market by 14%
• Europe is still custom quote in nearly all scenarios
• There is some opportunity to improve via colo, minimal when compared
against moving to service based compute and storage solutions.
84kW EQX – AM2 Digital Realty SingleHop Market
Per kW 323.49 240 330.00 285.00
Diff Mkt +14% -16% +16% -
18 | ©2015 Burstorm Inc.
Example Highlights for As-Is Environments
• Network Cost negligible. Current costs not out of market range.
Any anticipated change in the mount of network spend vs total
solution spend is not likely to skew any numbers, especially if
geographies remain the same.
• Continuing with current server sizing and application
layout/distribution will eliminate nearly all options for cost control
in utilization based models and optimized infrastructure designs
• AM2 space and power seems to a bit higher than current market.
• In both the U.S. as well as abroad, services like AWS have proven to
be more cost effective against models based on Legacy and
OpenStack product sets.
• AWS current state models, while more cost effective against current
internal costs on Legacy and OpenStack, show that significant cost
benefit is available in the market when utilizing as a service type
solutions with other solution providers
19 | ©2015 Burstorm Inc.
Optimization Models (Assumptions)
Burstorm models can only be as accurate as the data provided by Client. A few
assumptions were required as Burstorm validated and normalized data. Models
were built for as needed and ongoing comparison against the latest market data.
1. Client internal product sets were created for ongoing use which include
searchable attributes for virtual, shared, dedicated, physical and metrics
2. Workloads can be redistributed and utilization patterns can be considered
3. Normalized CPU/RAM costs across all environments
4. Storage data was removed for consistency in costs and modeling
5. Legacy to OpenStack migration not complete at the start of project
20 | ©2015 Burstorm Inc.
• Benchmark size is 2x32, a potential
optimized size based on actual
utilization data from Client. This same
size could be deployed in Legacy as
well as OpenStack.
• OpenStack is 93% greater than market
cost leader at benchmarked size
• OpenStack cost is 23% greater than
AWS market cost at benchmarked size
• Legacy is less expensive than AWS with
other good options at lower costs than
Legacy in appropriate geographies
OpenStack vs Legacy vs AWS vs Market
2x32 Linux OpenStack Legacy AWS Low Cost
Market Cost (USD) 473.59 361.19 362.88 31.99
% Diff - -24% -23% -93%
AWS 23%
Lower Cost
vs OpenStack
Low Cost Option
93% Lower
vs OpenStack
21 | ©2015 Burstorm Inc.
• Windows to Linux alternative brings in very good price/performance providers in
appropriate geographies for Client
• Additional services accounts for ~50% of AWS bill
• OpenStack is 378% higher cost for same solution at current sizing on AWS
• Legacy is 248% higher cost for same solution at current sizing on AWS
AWS Current Bill vs Market
27% Lower Cost
22 | ©2015 Burstorm Inc.
Price/Performance Metrics
• Other providers have better price/performance metrics vs AWS
• US and Europe, (specifically Amsterdam) locations available
• Performance, price, sizing and location directly affect optimal solution design
• Resizing design and reviewing app layout may yield additional optimization
23 | ©2015 Burstorm Inc.
Example: Legacy and OpenStack (Utilization
Base)
Current Utilization Differ %
Total $ 2,798,217.90 $ 543,867.58 -81%
Cores 4156 208 -95%
RAM (GB) 32088 11893 -63%
Current Utilization Differ %
Total $ 543,190.50 $ 276,782.63 -49%
Cores 536 147 -72%
RAM (GB) 5088 4054 -21%
Legacy
OpenStack

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Cloud Modeling vs Internal vs Global Market using Burstorm Platform

  • 1. 1 | ©2015 Burstorm Inc. Automated Infrastructure and Cloud Modeling Case Study – Example September 2015 Scott Goessling VP Cloud – Burstorm, Inc. scott.goessling@burstorm.com
  • 2. 2 | ©2015 Burstorm Inc. Current VS. Market Client has asked Burstorm to provide data comparing the costs of Client’s existing infrastructure to the publically available market cloud services and set up a frame work to examine financial impact of future redesigns and potential optimizations for existing Client environments.
  • 3. 3 | ©2015 Burstorm Inc. Building the Blueprint for Visualizing Current State For the duration of the engagement you will have access to a Burstorm Cloud Services Specialist who will work with the Client team to gather data and visualize costs for existing targets
  • 4. 4 | ©2015 Burstorm Inc. Blueprint (Step 1) – Gather Existing State Data Inventory and In-house Cost Data Actual Utilization Data Network Contract Data Colocation Contract Data AWS Bill and Utilization Data Universal
  • 5. 5 | ©2015 Burstorm Inc. Blueprint (Step 2) – Analyze Existing State Data Utilization Patterns and Heat Maps Data and Cost Normalization Memory Utilization CPU Utilization Data Validation
  • 6. 6 | ©2015 Burstorm Inc. Blueprint (Step 3) – Enter Contract/Svc Data
  • 7. 7 | ©2015 Burstorm Inc. Blueprint (Step 4) – Import AWS Billing Data
  • 8. 8 | ©2015 Burstorm Inc. Current State Blueprint
  • 9. 9 | ©2015 Burstorm Inc. Blueprint Dashboard Note: “Savings” box indicates annual savings of current market rate vs current contract rate for only the two U.S. colo contracts listed below. Universal Universal Technologies
  • 10. 10 | ©2015 Burstorm Inc. Blueprint Interactive Contract Data 23 Active
  • 11. 11 | ©2015 Burstorm Inc. Models and Scenarios Determine Scenarios of Interest and organize data into associated models & scenarios based on client priority. Create hierarchy and alternate views via copy, import, export etc. 1. In-House services 2. OpenStack 3. AWS 4. Organize by location, by app, by region
  • 12. 12 | ©2015 Burstorm Inc. As-Is Environments (Legacy, OpenStack and Colo)
  • 13. 13 | ©2015 Burstorm Inc. Legacy vs Market (As-Is Model) A match is available for Legacy in current sizing if purchased as virtual servers as a service. The matching solution is 26% less than current OpenStack compute costs with TCC factor Amazon infrastructure is currently deployed in smaller sizes and will match more often showing more options Utilization based design and workload redistribution can have significant cost benefit (Ex. 93% or more in some models) Current sizing is 100% custom in current market. No matches exist for current deployed sizing for any of the Client in-house environments in scope. Universal Universal
  • 14. 14 | ©2015 Burstorm Inc. Two solutions were identified for OpenStack in current sizing, if purchased as virtual servers, as a service. The two solutions were 11% and 33% less respectively when compared to current OpenStack compute costs with TCC factor included. Amazon infrastructure is currently deployed in smaller sizes and will match more often showing more options Utilization based design and workload redistribution can have significant cost benefit (Ex. 93% or more in some models) OpenStack vs Market (As-Is Model) Current sizing is 100% custom in current market. No matches exist for current deployed sizing for any of the Client in-house environments in scope. Universal Universal
  • 15. 15 | ©2015 Burstorm Inc. Legacy vs OpenStack (As-Is Model) • Core costs for OpenStack are 40% higher than core costs for Legacy • RAM costs for OpenStack are 13% higher than RAM costs for Legacy • OpenStack is consistently the most expensive internal service by 27-32% (rises with additional core count) +27% OpenStack +27% vs Legacy Universal Universal
  • 16. 16 | ©2015 Burstorm Inc. Colocation vs Market (SV5, As-Is Model) • Current colocation costs appear to be much higher than current market • Current environments are an average of 39% higher than market estimates with OpenStack currently 51% over market • Per kW prices include space and power but do not factor in any NRC or installation requirements like PDUs. 100kW EQX - Legacy EQX - Openstack Layer42 Digital Realty Market Est. Per kW 376.87 448.65 285.02 190 220.00 Diff Mkt +42% +51% +23% -15% - Universal Universal Universal
  • 17. 17 | ©2015 Burstorm Inc. Colocation vs Market (AM2, As-Is Model) • Quoted 24 cabinets @ 3.5kW power in secure cage (suite) • Current colocation costs appear a bit higher than market by 14% • Europe is still custom quote in nearly all scenarios • There is some opportunity to improve via colo, minimal when compared against moving to service based compute and storage solutions. 84kW EQX – AM2 Digital Realty SingleHop Market Per kW 323.49 240 330.00 285.00 Diff Mkt +14% -16% +16% -
  • 18. 18 | ©2015 Burstorm Inc. Example Highlights for As-Is Environments • Network Cost negligible. Current costs not out of market range. Any anticipated change in the mount of network spend vs total solution spend is not likely to skew any numbers, especially if geographies remain the same. • Continuing with current server sizing and application layout/distribution will eliminate nearly all options for cost control in utilization based models and optimized infrastructure designs • AM2 space and power seems to a bit higher than current market. • In both the U.S. as well as abroad, services like AWS have proven to be more cost effective against models based on Legacy and OpenStack product sets. • AWS current state models, while more cost effective against current internal costs on Legacy and OpenStack, show that significant cost benefit is available in the market when utilizing as a service type solutions with other solution providers
  • 19. 19 | ©2015 Burstorm Inc. Optimization Models (Assumptions) Burstorm models can only be as accurate as the data provided by Client. A few assumptions were required as Burstorm validated and normalized data. Models were built for as needed and ongoing comparison against the latest market data. 1. Client internal product sets were created for ongoing use which include searchable attributes for virtual, shared, dedicated, physical and metrics 2. Workloads can be redistributed and utilization patterns can be considered 3. Normalized CPU/RAM costs across all environments 4. Storage data was removed for consistency in costs and modeling 5. Legacy to OpenStack migration not complete at the start of project
  • 20. 20 | ©2015 Burstorm Inc. • Benchmark size is 2x32, a potential optimized size based on actual utilization data from Client. This same size could be deployed in Legacy as well as OpenStack. • OpenStack is 93% greater than market cost leader at benchmarked size • OpenStack cost is 23% greater than AWS market cost at benchmarked size • Legacy is less expensive than AWS with other good options at lower costs than Legacy in appropriate geographies OpenStack vs Legacy vs AWS vs Market 2x32 Linux OpenStack Legacy AWS Low Cost Market Cost (USD) 473.59 361.19 362.88 31.99 % Diff - -24% -23% -93% AWS 23% Lower Cost vs OpenStack Low Cost Option 93% Lower vs OpenStack
  • 21. 21 | ©2015 Burstorm Inc. • Windows to Linux alternative brings in very good price/performance providers in appropriate geographies for Client • Additional services accounts for ~50% of AWS bill • OpenStack is 378% higher cost for same solution at current sizing on AWS • Legacy is 248% higher cost for same solution at current sizing on AWS AWS Current Bill vs Market 27% Lower Cost
  • 22. 22 | ©2015 Burstorm Inc. Price/Performance Metrics • Other providers have better price/performance metrics vs AWS • US and Europe, (specifically Amsterdam) locations available • Performance, price, sizing and location directly affect optimal solution design • Resizing design and reviewing app layout may yield additional optimization
  • 23. 23 | ©2015 Burstorm Inc. Example: Legacy and OpenStack (Utilization Base) Current Utilization Differ % Total $ 2,798,217.90 $ 543,867.58 -81% Cores 4156 208 -95% RAM (GB) 32088 11893 -63% Current Utilization Differ % Total $ 543,190.50 $ 276,782.63 -49% Cores 536 147 -72% RAM (GB) 5088 4054 -21% Legacy OpenStack

Editor's Notes

  • #12: Delivering in format of “As-Is” then “Additional Models”
  • #20: Machine sizes were listed differently in different documents Some machines were included in some docs and not in others Cost information appeared to be estimated and generalized across all documents No cost for people, licensing, tools, etc, have been factored into total cost of compute Shared network infrastructure costs was removed (not added in) to simplify comparisons as actual amount for each environment was unknown