1. Overcoming the challenge of virtual blindness Colin Richardson on365 Ltd

2. 12% Average IT utilization across all size Data Centers Source: Schneider Electric study

3. Virtualization – why even bother? CPU efficiency Server consolidation Floor footprint Disaster recovery Labor cost Fast server deployment

4. 75% Customers having a “Virtualization First” strategy Source: IDC, Michelle Bailey, 2010: "The Changing IT Landscape: Virtualization, Cloud Computing and New Datacenter Requirements"

5. …however Virtualization is no Silver Bullet either!

6. Typical Virtualization Misunderstandings 3

7. Virtualization is only the concern of an IT group! WRONG! Your virtualization installation will – like any IT equipment you bring into your DC – impact the physical infrastructure of your DC #1:

8. Facility Responsible for critical power and cooling supplies IT Responsible for IT operations Critical Power & Cooling Servers/Storage Units/Networking Equipment Compute Power/Storage Space/Network Access Applications/Services/Virtualization Building/Security/Physical Space The challenge is still here!

9. Utility Building Data Center Infrastructure IT hardware Hypervisor Virtual Machines Business Value Applications Virtualization Management Data Center Infrastructure Management (DCIM) DEMAND SUPPLY DEMAND SUPPLY DEMAND SUPPLY

10. Virtualization impact on PUE and true energy savings Source: Schneider Electric WP118: Virtualization and Cloud Computing: Optimized Power, Cooling, and Management Maximizes Benefits

11. WRONG! Each VM started is associated with a cost of energy as a minimum Virtual Machines are free! #2:

12. Virtualization Sprawl Starting new virtual machines is so easy, but… – Who controls if a VM are ever used? – Who verifies if power and cooling requirements are still met? A VM running idle does consume energy! Each kW in a DC costs £10-15k to build and £1000 per year to run

13. VM impact on idle power Server power consumption 50% Server Idle Number of VMs 12345

14. WRONG! Your VM management SW is focused only on balancing the IT resources (CPU, Memory, Storage) My VM management SW helps me optimize my energy usage #3:

15. Scenario 1: Initial State VM Server #1: 200 Wh Server #2: 200 Wh Server #3: 210 Wh Server #4: 200 Wh Server #5: 200 Wh Server #6: 190 Wh Total Consumption: 1200 Wh

16. Scenario 2: 1 st consolidation Saving 25% Saving 25% VM Server #1: 230 Wh Server #2: 230 Wh Server #3: 230 Wh Server #4: 200 Wh Server #5: 0 Wh (off – restart 5 min) Server #6: 0 Wh (off – restart 5 min) Total Consumption: 890 Wh

17. Scenario 2: 2 nd consolidation VM Server #1: 240 Wh Server #2: 240 Wh Server #3: 240 Wh Server #4: 140 Wh (idle – real time ready) Server #5: 0 Wh (off – restart 5 min) Server #6: 0 Wh (off – restart 5 min) Saving 28% Saving 28% Total Consumption: 860 Wh

18. Dilemma: The Virtualization Jigsaw CPU Memory Storage Energy Cost DC Capacities

19. Its time to take off the blindfold…!

20. ...and bridge the gap between Facility & IT

21. Case Study: Power Chain Losses 13413 BOE 4254 tons CO 2 10730 BOE 3401 tons CO 2 8048 BOE 2551 tons CO 2 6438 BOE 2041 tons CO 2 45 racks @ 10kW PUE 5161 BOE 1633 tons CO 2 45 racks @ 8kW

22. Siloed systems are the means to an end! BMS Power Management VM Management CMDB IT Tickets Server Management Cooling Control Facility Management IT Management Data Centre Infrastructure Management (DCIM)

23. Utility Building Data Center Infrastructure IT hardware Hypervisor Virtual Machines Business Value Applications Virtualization Management Data Center Infrastructure Management (DCIM)

24. VM Operator Server placement Server health Power capping Power dependencies Cooling dependencies Event impact … Virtualization Management Making IT Facility-Aware CPU Memory Storage VM Allocation … DCIM Power Cooling Space Network …

25. Facility Mgr Server power draw Server configuration VM allocation Idle Servers … Virtualization Management Making Facility IT-Aware CPU Memory Storage VM Allocation … DCIM Power Cooling Space Network …

26. DCIM becomes the centerpiece for operational efficiency DCIM Capacity Planning Analytics Simulation Optimization Data Management Reporting DCIM Capacity Planning Analytics Simulation Optimization Data Management Reporting Data collection, meters, sensors, etc. Data collection, meters, sensors, etc. IT Systems, VM Management, Etc. IT Systems, VM Management, Etc. Facility Management (BMS, Power Management, Cooling control, etc.) Facility Management (BMS, Power Management, Cooling control, etc.)

27. Try it yourself…

28. Thank You! “According to IDC analysis and buyer perception, Schneider Electric is an IDC MarketScape Leader worldwide.” IDC, Katherine Broderick, Jan 2012: “IDC MarketScape: Worldwide Datacenter Infrastructure Management (DCIM) 2011 Vendor Analysis” Colin Richardson Colin.Richardson@on365.co.uk +44 1509 261100