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Overcoming the challenge of virtual blindness Colin Richardson on365 Ltd

Overcoming the challenge of virtual blindness

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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 - PowerPoint PPT Presentation

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Page 1: Overcoming the challenge of virtual  blindness

Overcoming the challenge of virtual blindness

Colin Richardsonon365 Ltd

Page 2: Overcoming the challenge of virtual  blindness

12%Average IT utilization across all size Data Centers

Source: Schneider Electric study

Page 3: Overcoming the challenge of virtual  blindness

Virtualization – why even bother?

CPU efficiency Server consolidation Floor footprintDisaster recoveryLabor costFast server deployment

Page 4: Overcoming the challenge of virtual  blindness

75%Customers having a “Virtualization First” strategy

Source: IDC, Michelle Bailey, 2010: "The Changing IT Landscape: Virtualization, Cloud Computing and New Datacenter Requirements"

Page 5: Overcoming the challenge of virtual  blindness

…however Virtualization is no Silver Bullet either!

Page 6: Overcoming the challenge of virtual  blindness

TypicalVirtualizationMisunderstandings3

Page 7: Overcoming the challenge of virtual  blindness

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:

Page 8: Overcoming the challenge of virtual  blindness

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!

Page 9: Overcoming the challenge of virtual  blindness

Utility

Building

Data Center Infrastructure

IT hardware

Hypervisor

Virtual Machines

Business Value

Applications

Virtualization Management

Data Center Infrastructure Management (DCIM)

DEMANDSUPPLY

DEMANDSUPPLY

DEMANDSUPPLY

Page 10: Overcoming the challenge of virtual  blindness

Virtualization impact on PUE and true energy savings

Source: Schneider Electric WP118: Virtualization and Cloud Computing: Optimized Power, Cooling, and Management Maximizes Benefits

Page 11: Overcoming the challenge of virtual  blindness

WRONG!Each VM started is associated with a

cost of energy as a minimum

Virtual Machines are free!#2:

Page 12: Overcoming the challenge of virtual  blindness

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

Page 13: Overcoming the challenge of virtual  blindness

VM impact on idle powerSe

rver

pow

er c

onsu

mpti

on

50%

Server Idle

Number of VMs1 2 3 4 5

Page 14: Overcoming the challenge of virtual  blindness

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:

Page 15: Overcoming the challenge of virtual  blindness

Scenario 1: Initial StateVM VM VM

VM VM VM

VM VM VM VM

VM VM VM

VM VM VM

VM 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

Page 16: Overcoming the challenge of virtual  blindness

Scenario 2: 1st consolidation

Saving25%

VM VM VM

VM VM VM

VM VM VM VM

VM VM VM

VM

VM

VM

VM

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

Page 17: Overcoming the challenge of virtual  blindness

Scenario 2: 2nd consolidationVM VM VM

VM VM VM

VM VM VM VMVM

VM

VM

VM

VM

VM

VM

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)

Saving28%

Total Consumption: 860 Wh

Page 18: Overcoming the challenge of virtual  blindness

Dilemma: The Virtualization Jigsaw

CPUMemoryStorage

Energy CostDC Capacities

Page 19: Overcoming the challenge of virtual  blindness

Its time to take off the blindfold…!

Page 20: Overcoming the challenge of virtual  blindness

...and bridge the gap between Facility & IT

Page 21: Overcoming the challenge of virtual  blindness

Case Study: Power Chain Losses

13413 BOE4254 tons CO2

10730 BOE3401 tons CO2

8048 BOE2551 tons CO2

6438 BOE2041 tons CO2

45 racks @ 10kW

PUE

5161 BOE1633 tons CO2

45 racks @ 8kW

Page 22: Overcoming the challenge of virtual  blindness

Siloed systems are the means to an end!BM

S

Pow

er

Man

agem

ent

VM M

anag

emen

t

CMDB

IT T

icke

ts

Serv

er

Man

agem

ent

Cool

ing

Cont

rol

Facility Management IT Management

Data Centre Infrastructure Management (DCIM)

Page 23: Overcoming the challenge of virtual  blindness

Utility

Building

Data Center Infrastructure

IT hardware

Hypervisor

Virtual Machines

Business Value

Applications

Virtualization Management

Data Center Infrastructure Management (DCIM)

Page 24: Overcoming the challenge of virtual  blindness

VM Operator

•Server placement•Server health•Power capping•Power dependencies•Cooling dependencies•Event impact•…

Virtualization Management

Making IT Facility-Aware

CPUMemoryStorage

VM Allocation…

DCIM

PowerCoolingSpace

Network…

Page 25: Overcoming the challenge of virtual  blindness

Facility Mgr

•Server power draw •Server configuration•VM allocation•Idle Servers•…

Virtualization Management

Making Facility IT-Aware

CPUMemoryStorage

VM Allocation…

DCIM

PowerCoolingSpace

Network…

Page 26: Overcoming the challenge of virtual  blindness

DCIM becomes the centerpiece for operational efficiency

DCIMCapacity Planning

AnalyticsSimulation

OptimizationData Management

Reporting

Data collection, meters, sensors, etc.

IT Systems, VM

Management, Etc.

Facility Management(BMS, Power

Management, Cooling control,

etc.)

Page 27: Overcoming the challenge of virtual  blindness

Try it yourself…

Page 28: Overcoming the challenge of virtual  blindness

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 [email protected]

+44 1509 261100