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Overcoming the challenge of virtual blindness. Colin Richardson o n365 Ltd. Average IT utilization across all size Data Centers. Source: Schneider Electric study. 12%. Virtualization – why even bother?. CPU efficiency Server consolidation Floor footprint Disaster recovery Labor cost
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Overcoming the challenge of virtual blindness Colin Richardson on365 Ltd
Average IT utilization across all size Data Centers Source: Schneider Electric study 12%
Virtualization – why even bother? • CPU efficiency • Server consolidation • Floor footprint • Disaster recovery • Labor cost • Fast server deployment
Customers having a “Virtualization First” strategy Source: IDC, Michelle Bailey, 2010: "The Changing IT Landscape: Virtualization, Cloud Computing and New Datacenter Requirements" 75%
#1: Virtualization is only the concern of an IT group! • Your virtualization installation will –like any IT equipment you bring into your DC – impact the physical infrastructure of your DC WRONG!
The challenge is still here! • Facility • Responsible for critical power and cooling supplies • IT • Responsible for IT operations Applications/Services/Virtualization Compute Power/Storage Space/Network Access Servers/Storage Units/Networking Equipment Critical Power & Cooling Building/Security/Physical Space
Business Value Applications VirtualMachines Virtualization Management Hypervisor IT hardware DEMAND SUPPLY DEMAND SUPPLY DEMAND SUPPLY Data Center Infrastructure Data Center Infrastructure Management (DCIM) Building Utility
Virtualization impact on PUE and true energy savings Source: Schneider Electric WP118: Virtualization and Cloud Computing: Optimized Power, Cooling, and Management Maximizes Benefits
#2: Virtual Machines are free! • Each VM started is associated with a cost of energy as a minimum WRONG!
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
VM impact on idle power 50% Server power consumption Server Idle 1 2 3 4 5 Number of VMs
#3: My VM management SW helps me optimize my energy usage Your VM management SW is focused only on balancing the IT resources (CPU, Memory, Storage) WRONG!
Scenario 1: Initial State VM VM VM Server #1: 200 Wh VM VM VM Server #2: 200 Wh VM VM VM VM Server #3: 210 Wh VM VM VM Server #4: 200 Wh VM VM VM Server #5: 200 Wh VM VM Server #6: 190 Wh Total Consumption: 1200 Wh
Scenario 2: 1st consolidation VM VM VM VM VM Server #1: 230 Wh Saving 25% VM VM VM VM VM Server #2: 230 Wh VM VM VM VM VM Server #3: 230 Wh VM VM VM Server #4: 200 Wh Server #5: 0 Wh (off – restart 5 min) Server #6: 0 Wh (off – restart 5 min) Total Consumption: 890 Wh
Scenario 2: 2nd consolidation VM VM VM VM VM VM Server #1: 240 Wh Saving 28% VM VM VM VM VM VM Server #2: 240 Wh VM VM VM VM VM VM 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) Total Consumption: 860 Wh
Dilemma: The Virtualization Jigsaw Energy Cost DC Capacities CPU Memory Storage
Case Study: Power Chain Losses 13413 BOE 4254 tons CO2 10730 BOE 3401 tons CO2 8048 BOE 2551 tons CO2 6438 BOE 2041 tons CO2 PUE 5161 BOE 1633 tons CO2 45 racks @ 10kW 45 racks @ 8kW
Siloed systems are the means to an end! Facility Management IT Management Data Centre Infrastructure Management (DCIM) BMS Power Management Cooling Control VM Management Server Management CMDB IT Tickets
Business Value Applications VirtualMachines Virtualization Management Hypervisor IT hardware Data Center Infrastructure Data Center Infrastructure Management (DCIM) Building Utility
Making IT Facility-Aware DCIM Virtualization Management • Server placement • Server health • Power capping • Power dependencies • Cooling dependencies • Event impact • … Power Cooling Space Network … CPU Memory Storage VM Allocation … VM Operator
Making Facility IT-Aware DCIM Virtualization Management • Server power draw • Server configuration • VM allocation • Idle Servers • … Power Cooling Space Network … CPU Memory Storage VM Allocation … Facility Mgr
DCIM becomes the centerpiece for operational efficiency DCIM • Capacity Planning • Analytics • Simulation • Optimization • Data Management • Reporting Facility Management (BMS, Power Management, Cooling control, etc.) IT Systems, VM Management, Etc. Data collection, meters, sensors, etc.
Thank You! • Colin Richardson • Colin.Richardson@on365.co.uk • +44 1509 261100 “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”