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© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Krishnan Kannan
Head of Cloud Economics, India
S...
Agenda
Why the Economics of Cloud is Different?2.
AWS Cloud Benefits Categories3.
Customer story : Dev factory4.
AWS Diffe...
AWS Differentiation and Global
Infrastructure
What sets AWS apart?
Building and managing cloud since 2006
90+ services to support any cloud workload; rapid
customer dri...
AWS Global Infrastructure
16 Regions – 44 Availability Zones – 91 Edge Locations
Region & Number of Availability Zones
AWS...
Why the Economics of Cloud is
Different?
AWS Pricing Basics
AWS Pricing Principles
Pay as you go
Pay less by using more
Pay less when you reserve
Pay less when AWS grows
No up-front ...
AWS Pricing Models
Pricing
Models
On-demand
Reserved
Instances
Spot
• Users that prefer the low
cost and flexibility of
Am...
AWS Pricing Principles
Pay-as-you-go
Pay less as
you use more
Save when you
reserve
Benefit Categories of Cloud Computing
Operational CostsWorkforce ProductivityCost AvoidanceOperational ResilienceBusiness ...
GE Oil & Gas experienced business benefits
across all categories
Other Examples
RESOURCE EFFICIENCYCOST SAVINGS OPERATIONAL RESILIENCE BUSINESS AGILITY
80% reduction in software R&D times...
AWS Cloud Benefits Categories
AWS Cloud Benefits Categories
TCO
Resource Efficiency
Business
Value
Specificity
Accelerate Application
Deployment
Global ...
Driver #1:TCO - What is TCO and how do we do
it?
≠
Comparing TCO isn’t easy
Traditional Data Center
& Co-Location
Driver #1: TCO
Definition: Comparative total cost of ownership analysis (acquisition
and operating costs) for running an i...
How do customers lower their TCO with AWS?
Source: IDC Whitepaper, sponsored
by Amazon, “The Business Value of
Amazon Web ...
“…we don’t make money
when we sell things. We
make money when we help
customers make purchase
decisions.”
Jeff Bezos (HBR ...
Continually lowering prices for customers is in
our DNA
Reduced
Prices
More
Customers
More AWS
Usage
More
Infrastructure
E...
A typical on-premises compute environment is
massively underutilized
Used IT
Capacity
Idle
Capacity
0%
10%
20%
30%
40%
50%...
Part of this can be explained by buying for “peak
load” requirements with inflexible infrastructure
Application/Workload	d...
Typical TCO considerations
Hardware – Server, Rack
Chassis PDUs, ToR
Switches (+Maintenance)
Software - OS,
Virtualization...
Traditional Capacity Planning
Limited Value, Wasted $, Increasing Cost
Initial Fixed
Capacity
Utilization
Unused Capacity ...
Initial questions to consider when exploring TCO
Capacity
Planning
1 How do you plan for capacity?
How many servers have y...
Commercial Levers
What levers are available to customers to drive down
costs?
Matching Supply and Demand – Right-sizing
Matching Supply and ...
Example – An APAC Airline
Three Year TCO
Environment On-premises (US$) Lift & Shift (US$)
Right-sized on AWS
(US$)
AWS Opt...
We have identified additional AWS savings by
modeling both optimization and re-platforming
On-
Premises
Lift & Shift Insta...
Driver #1: TCO Examples
Three years on, we’ve saved
over $100 million in avoided
capital and are about 65% in
the cloud.
-...
Driver #2: Resource Efficiency
Definition: a comparison of staff time spent performing functions and
tasks in the legacy I...
Driver #2: Resource Efficiency Examples
“[Our	staff]	spends	60%	of	work	
on	things	like	data	proliferation,	
lack	of	stand...
Driver #3: Accelerate Application Deployment
Definition: Shortening the amount of time to deploy new applications &
featur...
Driver #3: Accelerate Application Deployment
• Deployment cycle time reduced: 4 days
to hours
• +240% improvement in speed...
Driver #4: Risk Mitigation
• Heightened security
• In the event of power failure
• Natural disaster
• Quick data recovery ...
Driver #5: Global Expansion
Definition: Improved capability to experiment rapidly with new products or to
expand in new re...
$(2,000,000)
$(1,000,000)
$-
$1,000,000
$2,000,000
$3,000,000
$4,000,000
$5,000,000
1 2 3 4 5
On-Prem v. AWS Global Expans...
Driver #6: M&A or Divestitures
Definition: Accelerating the value of bringing on new businesses or shedding
of assets to a...
Driver #6: Divestiture Example
1. Accelerate focus on
upstream business.
2. Reduce transition timeline
from 12 to 6 months...
• ESW Capital and the Trilogy Group – Transformed from an enterprise software
firm into private equity.
• Portfolio of 70+...
We would move 100% of our infrastructure to AWS even if there weren’t any cost
benefits
• We’ve stopped spending time and resources on managing basic infrastructure.
• We’ve moved our investments up the stack i...
And by the way…
AWS allows us to bring our infrastructure costs down by over 90%
Lift and Shift Right Sizing
Database and
Storage
Consolidation
Docker
• Cost neutral
• Ensures that
products and apps
are ...
• Email backup and archiving solution - acquired from Dell in 2015
• $6M annual spend on data center
• Monolithic architec...
That’s not all …. There is more J
• The firewall for code is an active system that constantly monitors code that is getting checked in,
analysis it for pote...
Turning the Business Case into Reality
Kaplan Closes 8 Data Centers.
By Migrating Data Centers, Wilmar Saves 50% in CAPEX....
Introduction to Cost
Optimization
So you’re feeling pretty good.
Until your CFO shows up with the bill
Cost optimization is…
going from…
to…
pay for what you provision
pay for what you need
The Five Pillars of Cost Optimization
Right-Sizing Your
Instances
Pick the Right
Pricing Model
Increase
Elasticity
Measuri...
Useful Sources
Video Resources (found on YouTube)
Ø re:Invent 2015 | (ISM402) Cost Optimisation at Scale
bit.ly/co17_video1
Ø re:Invent 2...
Other TCO and CO Resources
• Online TCO Calculator:
https://awstcocalculator.com
• AWS Economics Center:
http://aws.amazon...
Thank You!
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Cloud Economics: Transform Businesses at Lower Costs - AWS Summit Bahrain 2017

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Cloud Economics: Transform Businesses at Lower Costs - AWS Summit Bahrain 2017

  1. 1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Krishnan Kannan Head of Cloud Economics, India September 25th, 2017 Cloud Economics: Transform Businesses at Lower Costs Rahul Subramaniam CEO, Dev factory
  2. 2. Agenda Why the Economics of Cloud is Different?2. AWS Cloud Benefits Categories3. Customer story : Dev factory4. AWS Differentiation and Global Infrastructure1. Turning the business case into reality5. Introduction to AWS Cost Optimization6.
  3. 3. AWS Differentiation and Global Infrastructure
  4. 4. What sets AWS apart? Building and managing cloud since 2006 90+ services to support any cloud workload; rapid customer driven releases 16 regions, 44 availability zones, 91 edge locations Thousands of partners; 3,800+ Marketplace products Experience: 1M+ customers Service Breadth & Depth; pace of innovation Global Footprint Ecosystem Fine-grained controlSecurity Fully integrated in AWSArtificial Intelligence Gartner Magic quadrant recognizing AWS for 7th year Enterprise leader
  5. 5. AWS Global Infrastructure 16 Regions – 44 Availability Zones – 91 Edge Locations Region & Number of Availability Zones AWS GovCloud (2) EU Ireland (3) US West Frankfurt (2) Oregon (3) London (2) Northern California (3) Asia Pacific US East Singapore (2) N. Virginia (5), Ohio (3) Sydney (3), Tokyo (3), Seoul (2), Mumbai (2) Canada Central (2) China Beijing (2) South America São Paulo (3) Announced Regions Paris, Ningxia, Stockholm, Hong Kong US govt cloud(US-East)
  6. 6. Why the Economics of Cloud is Different?
  7. 7. AWS Pricing Basics
  8. 8. AWS Pricing Principles Pay as you go Pay less by using more Pay less when you reserve Pay less when AWS grows No up-front investment Pay per use
  9. 9. AWS Pricing Models Pricing Models On-demand Reserved Instances Spot • Users that prefer the low cost and flexibility of Amazon EC2 without any up-front payment or long- term commitment • Applications with short- term, spiky, or unpredictable workloads that cannot be interrupted • Applications being developed or tested on Amazon EC2 for the first time • Applications with steady state usage • Applications that may require reserved capacity • Customers that can commit to using EC2 over a 1 or 3 year term to reduce their total computing costs • Applications that have flexible start and end times • Applications that are only feasible at very low compute prices • Users with urgent computing needs for large amounts of additional capacity
  10. 10. AWS Pricing Principles Pay-as-you-go Pay less as you use more Save when you reserve
  11. 11. Benefit Categories of Cloud Computing Operational CostsWorkforce ProductivityCost AvoidanceOperational ResilienceBusiness Agility • Reduced Risk Profile/Reduced cost of Risk Mitigation • Revenue & margin improvements due to reduced outages • Reduced Time to Market • Increased operational agility (new market penetration, divestiture, acquisition) • Reduced cost & increased Pace of Experimentation • Elimination of hardware refresh programs • Elimination of maintenance programs • Unit Price of Infrastructure • Ability to match supply & demand • Reinvention is continuous – a true efficiency dividend • A pathway to optionality • An elastic Cost Base • Transparency drives a lean mindset • Automation drives maintenance efficiencies • Reduced cost of planned and unplanned outages • Increased Developer Productivity
  12. 12. GE Oil & Gas experienced business benefits across all categories
  13. 13. Other Examples RESOURCE EFFICIENCYCOST SAVINGS OPERATIONAL RESILIENCE BUSINESS AGILITY 80% reduction in software R&D times (Apeejay Stya & Svrán) Time to launch digital campaigns cut from weeks to 24 hours (91App) Calc and reporting time cut from 10 days to 10 minutes (Aon Benfield) Time to market cut from weeks to hours (FlyDubai) Clinical simulations 98% faster than on- premise (Bristol-Myers Squibb) Time to deploy IT compute reduced to < 5minutes (Alcatel-Lucent) R&D RFS times reduced from 6 months to 1 day (NewsCorp) Provisioning time cut from 3-4 weeks to 2 days (ENEL) Test-run time cut to 10 minutes, from up to two hours (Yelp) Launch new products 75% faster (Unilever) 5M financial investment policies recalculated in minutes instead of overnight (ABSI) DC footprint from 13 to 6 (The Weather Co.) DC footprint reduced from 8 to 3 by 2018 (CapitalOne) Storage costs reduced by up to 60% (ENEL) Migrated 500 servers, 1PB storage, &100 DB servers in 3 months to AWS (Condé Nast) Over 50% reduction in TCO (GE) DC footprint from 45 to 6 (News Corp) 50% reduction in app costs (Time Inc) Cost savings of $20M p.a. (FINRA) Computational cost reduced by 20%+ (ENEL) Cloud deployment has saved US$34 million in CAPEX and reduced OPEX by 85% (Samsung) Queries run on 450,000 online subscribers 98 percent faster and 80 percent cheaper (FT) Cost reduction of $40k p.a. (Dow Jones ) Savings of $1.5M p.a. (Trainline) 30% reduction in OPEX (MacMillan) 12% reduction in OPEX (RWE Czech) Scaled to handle a 400% increase in page views (Kurt Geiger) Improved security posture (CapitalOne) 8600 transactions/second (McDonalds) Transfer of over 750 TB of data from pipeline inspection machinery (GE) Processing over 75 billion market events daily (FINRA) Critical applications run in multiple AZs, x- Regions for robust disaster recovery (Expedia) Supports over 300,000 requests per minute to its API (Easy Taxi) 60% reduced downtime (Trainline) Migration of SAP on Oracle to AWS with zero unplanned downtime across five countries (Kellogg’s) SAP availability boosted to 100% (MacMillan) Over 200 Solutions Architects trained in cloud (Hitachi) Energy Marketing business prepared for acquisition in only 6 months rather than 12 (Hess Corp) Performance targets over-achieved by 43-66% (McDonalds) IT Infra consolidation completed in 20% of expected time (Hearst) 25,000 Amazon Workspaces cloud- based desktops deployed (Johnson & Johnson) Over 500 hours per year of server configuration time saved (Sage) 39 years of Computational chemistry condensed into 9 hours (Novartis)
  14. 14. AWS Cloud Benefits Categories
  15. 15. AWS Cloud Benefits Categories TCO Resource Efficiency Business Value Specificity Accelerate Application Deployment Global Expansion M&A or Divestures Risk Mitigation Business Drivers IT Drivers Director of IT Executive Level
  16. 16. Driver #1:TCO - What is TCO and how do we do it? ≠ Comparing TCO isn’t easy Traditional Data Center & Co-Location
  17. 17. Driver #1: 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 cloud 3) Paralleling an existing AWS workload with an on premises or co-location setup
  18. 18. How do customers lower their TCO with AWS? Source: IDC Whitepaper, sponsored by Amazon, “The Business Value of Amazon Web Services Accelerates Over Time.” December 2013 “Customers will have spent 63.4% more on average on- prem or in co-location” Remove over provisioning and move to pay for what you use model 62 Price Reductions Economies of scale allow AWS to continually lower costs Pricing model choice to support variable & stable workloads Save more money as you grow bigger On-Demand Reserved Spot Tiered Pricing Volume Discounts 1 2 3 4
  19. 19. “…we don’t make money when we sell things. We make money when we help customers make purchase decisions.” Jeff Bezos (HBR 2013)
  20. 20. Continually lowering prices for customers is in our DNA Reduced Prices More Customers More AWS Usage More Infrastructure Economies of Scale Lower Infrastructure Costs Ecosystem Global Footprint New Features New Services Infrastructure Innovation We pass the savings along to our customers in the form of low prices and continuous reductions
  21. 21. A typical on-premises compute environment is massively underutilized Used IT Capacity Idle Capacity 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% On-Premises IT Compute capacityTotal Studies by Gartner, McKinsey and the Uptime Institute have stated that typical data centers are on average less than 50% utilized www.uptimeinstitute.org anthesisgroup.com/wp-content/uploads/2014/08/Data-Center-Issue-Paper-final826.pdf www.nytimes.com/2012/09/23/technology/data-centers-waste-vast-amounts-of-energy-belying-industry-image.html
  22. 22. Part of this can be explained by buying for “peak load” requirements with inflexible infrastructure Application/Workload drivers Fluctuating/“Spiky” Part-time Cyclical Peak Peak Peak Used IT Capacity Idle Capacity 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% On-Premises IT Compute capacityTotal
  23. 23. Typical TCO considerations Hardware – Server, Rack Chassis PDUs, ToR Switches (+Maintenance) Software - OS, Virtualization Licenses (+Maintenance) Facilities Cost Hardware – Storage Disks, SAN/FC Switches Software - Backup Network Hardware – LAN Switches, Load Balancer Bandwidth costs Software – Network Monitoring Server Admin, Virtualization Admin, Storage Admin, Network Admin, Support Team 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 Project planning, Advisors, Legal, Contractors, Managed Services, Training, Cost of capital Business Value: Cost of delays Risk premium Competitive abilities Governance Etc. IT Labor Costs Network Costs Storage Costs Server Costs 4 1 2 3 Extras5 Facilities Cost Space Power Cooling Facilities Cost Space Power Cooling
  24. 24. Traditional Capacity Planning Limited Value, Wasted $, Increasing Cost Initial Fixed Capacity Utilization Unused Capacity = Wasted $ Downtime, Lost Customers, Lost Revenue (Impossible to measure) More Wasted $ Time
  25. 25. Initial questions to consider when exploring TCO Capacity Planning 1 How do you plan for capacity? How many servers have you added in the past year? Anticipating next year? Can you switch your hardware on and off and only pay for what is used? Utilization 2 What is your average server utilization? How much do you overprovision for peak load? Operations 3 Will you run out of data center space some time in the future? What was your last year power utility bill for the Data Center(s)? Have you budgeted for both average and peak power requirements? Optimization 4 Are you on AWS today? Is your architecture cost-optimized (Auto Scaling, RIs, Spot, Instances turn on/off)?
  26. 26. Commercial Levers
  27. 27. What levers are available to customers to drive down costs? Matching Supply and Demand – Right-sizing Matching Supply and Demand – Elasticity Lowering the Unit Price – Reserved and SPOT Instances
  28. 28. Example – An APAC Airline Three Year TCO Environment On-premises (US$) Lift & Shift (US$) Right-sized on AWS (US$) AWS Optimized Apps (US$) Test 6,852,872 4,468,062 3,874,600 2,761,619 Dev 7,102,348 4,506,412 3,937,795 2,731,962 Prod 12,313,415 9,965,267 8,524,232 6,266,904 Total 26,268,635 18,939,741 16,336,627 11,760,485 Savings over on-premises (%) 27.9% 37.8% 55.2% Additional savings of 13.7% over lift and shift approach Additional savings of 28% over right-sized approach Scope: Servers acquisition and operational costs, storage acquisition and operational costs, networking costs and manpower.
  29. 29. We have identified additional AWS savings by modeling both optimization and re-platforming On- Premises Lift & Shift Instance Right- Sizing Improved Elasticity Storage Optimization Optimized Lift and Shift Measure Monitor and Improve Serverless Architecture Managed Services Replatformed AWS Optimized Traditional TCO Comparisons
  30. 30. Driver #1: TCO Examples Three years on, we’ve saved over $100 million in avoided capital and are about 65% in the cloud. - Dominic Shine, CIO News Corp1 (1) Geekwire, December 2016 We’ve been able to seamlessly scale our infrastructure, better serve our customers across the globe, and reduce our fixed costs by 75% and operational costs by 83%. - Valentino Volonghi, CTO, AdRoll2 (2) AWS Public Case Study We’ve realized a 52 percent reduction in TCO. That stems from a number of factors... [a push for self-service, dynamic storage, using lower cost VMs] Ultimately these savings are a byproduct of doing the right thing. – Ben Cabanas, CTO, GE Transportation3 (3) AWS Blog, May 2016
  31. 31. Driver #2: Resource Efficiency Definition: a comparison of staff time spent performing functions and tasks in the legacy IT organization versus AWS Common Measures: 1) Database Administrators eliminating time spent on DB patches and upgrades 2) Storage Managers no longer required to test or “burn in” additional object storage arrays before operating them
  32. 32. Driver #2: Resource Efficiency Examples “[Our staff] spends 60% of work on things like data proliferation, lack of standards, security hardening.. AWS is addressing these needs…” - Raji Arasu, Senior VP of Platform and Services, Intuit1 (1) Geekwire, December 2016 Pharma Services Industry Customer 51%efficiency improvement in Compute related functions 20%improvement in Application Development functions
  33. 33. Driver #3: Accelerate Application Deployment Definition: Shortening the amount of time to deploy new applications & features. (Hint: Think DevOps as a first step) Common Measures: “time to deploy to production,” “deployment frequency” or similar variants.
  34. 34. Driver #3: Accelerate Application Deployment • Deployment cycle time reduced: 4 days to hours • +240% improvement in speed-to-market • Customer functionality delivered 5x faster • Shortened it’s Build Phase by 90 daysPharmaceutical Services Provider
  35. 35. Driver #4: Risk Mitigation • Heightened security • In the event of power failure • Natural disaster • Quick data recovery on AWS • Greater administrative and security control using AWS IAM, cloud watch and cloud trail • Greater security and performance improvements by using VPC and direct connect. https://aws.amazon.com/solutions/case-studies/seaco/
  36. 36. Driver #5: Global Expansion Definition: Improved capability to experiment rapidly with new products or to expand in new regions/markets . What’s the value? • Rapid entry into a new market • Lower cost of expansion • Minimize exit costs
  37. 37. $(2,000,000) $(1,000,000) $- $1,000,000 $2,000,000 $3,000,000 $4,000,000 $5,000,000 1 2 3 4 5 On-Prem v. AWS Global Expansion AWS 5-year Forecast On-Prem 5-year Forecast Driver #5: Global Expansion • Expansion time down reduced in half • Eliminated $2.4M in global expansion costs • Recognized additional $5M in revenue Net financial impact of leveraging AWS for was $8.4M over base case Automotive Services Provider
  38. 38. Driver #6: M&A or Divestitures Definition: Accelerating the value of bringing on new businesses or shedding of assets to accelerate a customers’ business goals. What’s the value? • Speed to market • Faster transition time • Lower transition costs
  39. 39. Driver #6: Divestiture Example 1. Accelerate focus on upstream business. 2. Reduce transition timeline from 12 to 6 months 3. Sold the business for $2.6b to reinvest in upstream business. “We had an obligation to Hess to make sure that infrastructure could be handed off in short order, both legally and physically. Using the cloud enabled us to meet these requirements and we are thrilled with the results.” - Jim McDonald, Lead Architect Customer Benefits Impact
  40. 40. • ESW Capital and the Trilogy Group – Transformed from an enterprise software firm into private equity. • Portfolio of 70+ Enterprise software companies • DevFactory is the Transformation Factory for the group • DevFactory has been working with AWS since 2007 AWS is one of the core pillars of our transformation runbook
  41. 41. We would move 100% of our infrastructure to AWS even if there weren’t any cost benefits
  42. 42. • We’ve stopped spending time and resources on managing basic infrastructure. • We’ve moved our investments up the stack in areas like • Machine learning • Advanced graph analytics • Research on preventing bad code from getting into our codebases Business Benefits
  43. 43. And by the way… AWS allows us to bring our infrastructure costs down by over 90%
  44. 44. Lift and Shift Right Sizing Database and Storage Consolidation Docker • Cost neutral • Ensures that products and apps are portable • Puts all infrastructure under standard management runbook • Reduces costs by 40% • Eliminates waste • Gives us a true picture of what is really being used • Aurora migration • Additional 20% cost reduction • Helps improve scale of the apps • 90+% Cost Reduction • Bigger is better – use x1.32XLs • Apps are at least 2x more performant than on dedicated hardware. Our 4 step Runbook
  45. 45. • Email backup and archiving solution - acquired from Dell in 2015 • $6M annual spend on data center • Monolithic architecture, specialized Dell storage hardware • Took 12 months to transform • Moved to S3, MySQL Aurora and Docker Current spend < $200K a year (96% reduction in COGS) MessageOne Case Study
  46. 46. That’s not all …. There is more J
  47. 47. • The firewall for code is an active system that constantly monitors code that is getting checked in, analysis it for potential problems and takes both preventative and corrective action: • Builds • Static Analysis and symbolic execution based analysis • Test executions, mutation test runs • Anti Pattern detection • Automatic fixes to code • Automatic code reviews • The firewall for code cluster is an ECS Spot Cluster • Runs a custom fleet optimization algorithm to ensure spread across all availability zones, stability of the cluster and lowest costs. • Has the ability to dynamically scale up or down depending on resource demands Costs ~75% less than on-demand instances Firewall for Code - Docker Spot Platform Spot Instances
  48. 48. Turning the Business Case into Reality Kaplan Closes 8 Data Centers. By Migrating Data Centers, Wilmar Saves 50% in CAPEX. Delaware North Moves Data Center to Save $3.5M Over Five Years. Hess Uses AWS to Streamline Data Center Migration in 6 Months. News UK Shortens Time to Market by 6 Months by Migrating 60% of its Data Centers. ENEL has migrated 10,000 servers and 6 PBs of data to AWS in 9 months and saving up to 21% on compute and up to 60% on storage costs.
  49. 49. Introduction to Cost Optimization
  50. 50. So you’re feeling pretty good.
  51. 51. Until your CFO shows up with the bill
  52. 52. Cost optimization is… going from… to… pay for what you provision pay for what you need
  53. 53. The Five Pillars of Cost Optimization Right-Sizing Your Instances Pick the Right Pricing Model Increase Elasticity Measuring & Monitoring Match usage to storage class
  54. 54. Useful Sources
  55. 55. Video Resources (found on YouTube) Ø re:Invent 2015 | (ISM402) Cost Optimisation at Scale bit.ly/co17_video1 Ø re:Invent 2016 | (ARC310) Cost Optimising Your Architecture: Practical Design Steps For Savings bit.ly/co17_video2 Ø re:Invent 2016 | (ENT202) Driving AWS Cost Efficiency at Your Company https://youtu.be/D3uRBcb81uE Ø re:Invent 2014 | (ARC201) Cloud-Native Cost Optimisation bit.ly/co17_video3 Ø re:Invent 2015 | (ISM309) Efficient Innovation: High-Velocity Cost Management at Netflix bit.ly/co17_video4
  56. 56. Other TCO and CO Resources • Online TCO Calculator: https://awstcocalculator.com • AWS Economics Center: http://aws.amazon.com/economics/ • Slide share: Value, TCO & Cost Optimization https://www.slideshare.net/AmazonWebServices/v alue-tco-cost-optimisation-on-aws
  57. 57. Thank You!

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