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Cloud Economics – Finding Your ROI



  Sharon Wagner, Founder & CEO, Cloudyn
Cloudyn manages and optimizes the
cost of cloud services



                        “You can learn more about your use of
                        cloud by subscribing to Cloudyn… It will
                        help you continually get a clearer picture
                        of real cloud use.”
                        James Staten, VP Infrastructure and Operations
   SaaS solution, zero-integration
   Cloud analytics
   Real-time controls
   Consumption management
   Cloud optimization
      Resources rightsizing
      Price optimization
      Deployment reallocation
      Simulation & planning
•   AWS product launch: Feb 2012
•   Support: Compute, Database & Storage
•   300+ active customers
•   1,250,000+ servers monitored
•   $250,000+ average customer cloud spend
•   41% cost savings
Our Agenda



     Cloud Customer Use Case


     Some Interesting Cloud
     Research and Data


     Best Practices and Solutions
Customer Case Study



Meet Jim, IT Director of Energy & Co,
a leading, global energy company.




                    Energy & Co has a significant IaaS footprint
                        • Multiple business units
                        • Development, testing and production
                        • Over 100 cloud accounts, 2000+ servers
                        • Fluctuating environment
Customer Case Study




When we first met Jim…



               •   Everything is under control

               •   Cloud resources are perfectly provisioned

               •   On-Demand offers optimal combo of cloud flexibility

                   and ROI

               •   Cloud costs cannot be reduced any further
Customer Case Study




            •   32 Extra Large servers running idle for 2 months
            •   3852 similar snapshots of a single volume
            •   11 reservations with no associated instances
            •   3 MySQL servers running Max 4.3% CPU utilization
            •   80% predicted growth in annual cost
Something is wrong!
Introducing CloudynDex™
While Monitoring ~1M Instances we noticed:
•   >50% of all instances run for less than 2 hours
•   ~30% run between 2 and 12 hours
•   Average utilization < 17%
•   As instance size increases, utilization decreases
•   Many servers can be safely downscaled!


                      Size          % Instances Utilization (weighted)   % Spend
                      Small           74.4%              16.7%            36.0%

                      Medium          18.1%              11.9%            31.3%

                      Large            6.4%              7.8%             22.7%

                      Extra Large      1.1%              3.9%             10.0%
Spot   OnDemand   Reserved
70000
60000
50000
40000
30000
20000
10000
    0
        15-Apr-2012                                15-May-2012
Use of Reservations Options
                                                               Actual Break-Even
            3% 2% 3%
                                Light Utilization - 1 year     2.5 months
26%                             Light Utilization - 3 years    3 months
                          35%
                                Medium Utilization - 1 year    4 months
                                Medium Utilization - 3 years   5-6 months
      31%
                                Heavy Utilization - 1 year     5-7 months
                                Heavy Utilization - 3 years    11-13 months
You should seriously avoid…
New cloud vendor?
Won’t work, transition is too expensive
Change pricing plan?
You don’t really know what you need
Negotiate terms with your vendor?
You probably will get a $50 voucher
Best Practices
Real-time Analytics
1   View and control usage, consumption, inefficiencies and cost drivers

    Right-sizing
2   Downscale, shut-down and clean resources - avoid over-provisioning


    Price Optimization
3   Select price plans and contract term changes to reduce cloud cost

    Plan & Simulation
4   Realize, simulate and optimize the true cost of a business service
•   Each environment is different
•   Define your underutilization threshold: Average, Spikes and Standard Dev.
•   It will become very economical when out-scaling
3Y-term, m1.large
 instance, Virginia
  “Light Utilization”
 break-even vs. on-
   demand = end of
lock-in at 3 months
Monitor your deployment
To know your cloud


Avoid traditional capacity allocations
For fine-tuned control


Over-provision to the right extent
Leverage usage trends to right-size consumption


Your environment is dynamic
Your solution should be dynamic too
Thank You.
sharon@cloudyn.com

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Cloud Economics – Finding Your ROI

  • 1. Cloud Economics – Finding Your ROI Sharon Wagner, Founder & CEO, Cloudyn
  • 2. Cloudyn manages and optimizes the cost of cloud services “You can learn more about your use of cloud by subscribing to Cloudyn… It will help you continually get a clearer picture of real cloud use.” James Staten, VP Infrastructure and Operations
  • 3. SaaS solution, zero-integration  Cloud analytics  Real-time controls  Consumption management  Cloud optimization  Resources rightsizing  Price optimization  Deployment reallocation  Simulation & planning
  • 4. AWS product launch: Feb 2012 • Support: Compute, Database & Storage • 300+ active customers • 1,250,000+ servers monitored • $250,000+ average customer cloud spend • 41% cost savings
  • 5. Our Agenda Cloud Customer Use Case Some Interesting Cloud Research and Data Best Practices and Solutions
  • 6. Customer Case Study Meet Jim, IT Director of Energy & Co, a leading, global energy company. Energy & Co has a significant IaaS footprint • Multiple business units • Development, testing and production • Over 100 cloud accounts, 2000+ servers • Fluctuating environment
  • 7. Customer Case Study When we first met Jim… • Everything is under control • Cloud resources are perfectly provisioned • On-Demand offers optimal combo of cloud flexibility and ROI • Cloud costs cannot be reduced any further
  • 8. Customer Case Study • 32 Extra Large servers running idle for 2 months • 3852 similar snapshots of a single volume • 11 reservations with no associated instances • 3 MySQL servers running Max 4.3% CPU utilization • 80% predicted growth in annual cost
  • 11. While Monitoring ~1M Instances we noticed: • >50% of all instances run for less than 2 hours • ~30% run between 2 and 12 hours
  • 12. Average utilization < 17% • As instance size increases, utilization decreases • Many servers can be safely downscaled! Size % Instances Utilization (weighted) % Spend Small 74.4% 16.7% 36.0% Medium 18.1% 11.9% 31.3% Large 6.4% 7.8% 22.7% Extra Large 1.1% 3.9% 10.0%
  • 13. Spot OnDemand Reserved 70000 60000 50000 40000 30000 20000 10000 0 15-Apr-2012 15-May-2012
  • 14. Use of Reservations Options Actual Break-Even 3% 2% 3% Light Utilization - 1 year 2.5 months 26% Light Utilization - 3 years 3 months 35% Medium Utilization - 1 year 4 months Medium Utilization - 3 years 5-6 months 31% Heavy Utilization - 1 year 5-7 months Heavy Utilization - 3 years 11-13 months
  • 16. New cloud vendor? Won’t work, transition is too expensive Change pricing plan? You don’t really know what you need Negotiate terms with your vendor? You probably will get a $50 voucher
  • 18. Real-time Analytics 1 View and control usage, consumption, inefficiencies and cost drivers Right-sizing 2 Downscale, shut-down and clean resources - avoid over-provisioning Price Optimization 3 Select price plans and contract term changes to reduce cloud cost Plan & Simulation 4 Realize, simulate and optimize the true cost of a business service
  • 19. Each environment is different • Define your underutilization threshold: Average, Spikes and Standard Dev. • It will become very economical when out-scaling
  • 20. 3Y-term, m1.large instance, Virginia “Light Utilization” break-even vs. on- demand = end of lock-in at 3 months
  • 21. Monitor your deployment To know your cloud Avoid traditional capacity allocations For fine-tuned control Over-provision to the right extent Leverage usage trends to right-size consumption Your environment is dynamic Your solution should be dynamic too