Franck Petit,Senior Sales Manager - APAC, DCD Group

Standing on the Shoulders of Giants:Learnings from Hyperscale

AboutDCD?

Agenda

1. ThecontextofHyperscale/theneed2. TheprofileofHyperscale/thedelivery3. LearningsfromHyperscale

KeyStatisticsbehindDataCenter Growth– TotalIPTraffic

Traffic 2017 2020 CAGR

IPTrafficpermonth 122Exabytes 254

Exabytes 26%

Internetusers 2.8bn 3.9bn 6.9%

Numberofconnecteddevices

17bn 22.5bn 10%

Averagespeed 7.2MBps 47.7MBps 87.8%

%trafficthatisvideo 67% 80% NA

SourceCisco

KeyStatisticsbehindDataCenterGrowth– MobileIPTraffic

TotalMobileTraffic

2017 2020 CAGR

IPTrafficpermonth 12Exabytes 41Exabytes 46%

Mobileusers 4.43bn 5.5bn 2.8%

Numberofmobile readydevices

8.6bn 11.6bn 8.5%

Averagebroadbandspeed

2.0MBps 6.5MBps 26.6%

SourceCisco

Whatarethedriverscreatingthisexponentialdemand?

Thisisallcreating‘ThePerfectStorm’

We are entering Zettastructure ?- the Era of the Zettabyte

• By2020therewillbe5Zettabytesofdatageneratedbymorethan22billionconnecteddevices.

• OneZettabyteis1021

• Bytheendofthedecade10%ofglobalenergywillbeconsumedbyITwhen3.2%isusedactually.

• By2040ithasbeencalculatedthattoprocesstheworld’sdatarequirementsusing today’sinfrastructure, itwouldconsumealltheenergyintheworld.

2018

3.2kW site2.4kW IT load

<1 cabinet~3.2m2

Compacting Computational FootprintThe Jevon Paradox

2001

5MW site2MW IT load2000 cabinets

~3000m2

2014

50kW site30kW IT load

5 cabinets~16m2

TheProfileofHyperscale

• Hyperscaleassociatedmorethananythingwithgrowthofcloud&variabledemand

• Keyoperational&commercialvaluebeyonddatacenter standardsofresilience,efficiency&immediacyisscalability.

• Thismeansfacilitiesthatareusuallyverylarge,closetofiber networkintersectionpointsand(increasingly)withaccesstosustainableenergysources.

• Designprinciplesincludeopennetworks,disaggregation,software-definedorchestration,core&podunits.

Thescopeofhyperscale• Ahyperscaledatacenterneedstosupport thousandsofphysicalserversand

millionsofvirtualmachines....Hyperscalecomputing boostsoverallsystemflexibilityandallowsforamoreagileenvironment.

• Veryfewdatacenters – maybe700-750nowfrom230,000datacentersworld-wide

• Stillaccountforlessthan10%ofUSA’stotaldatacenter energyconsumption• By2021,Ciscoestimatesthathyperscalewillaccountfor:

• 53%ofalldatacenter servers• 69%ofallDCprocessingpower• 65%ofalldatastoredinDCs,and• 55%ofallDCtraffic.

33.3%34.5%

36.4%

38.8% 42.3%

45.2%

28.6%

32.7%

35.9%

38.6%

43.2%

46.8%

25%

30%

35%

40%

45%

50%

2015 2016 2017 2018 2019 2020

%TotalFootprin

t

Proportionoutsourced Proportiondigitised

Source:DCDIntelligence, 2015

IncreasedRelianceonExternalProviders,particularlytoaccesscloudservicesinconjunctionwithhybridsystemsAssets/Investment

January2019researchindicatesin-housemovingunder50%offootprintacrossAPAC

InHouse49.0%

Colocated30.6%

Privatecloud5.3%

Publiccloud6.2%

Otheroutsourced

8.8%

Source:DCD

India/South AsiaInhouse56%Colocation, Hosting, ManagedServices36%Clouds 8%

SingaporeInhouse38%Colocation, Hosting, ManagedServices44%Clouds 18%

IndonesiaInhouse54%Colocation, Hosting, ManagedServices39%Clouds 7%

ChinaInhouse34%Colocation, Hosting, ManagedServices51%Clouds 15%

HongKongInhouse47%Colocation, Hosting, ManagedServices46%Clouds 7%

SouthEastAsia/Indo ChinaInhouse56%Colocation, Hosting, ManagedServices37%Clouds 7%

Australia&NewZealandInhouse46%Colocation, Hosting, ManagedServices42%Clouds 12%

GeneralprofilefootprintinAPACend2018 NorthEastInhouse52%Colocation, Hosting, ManagedServices38%Clouds 10%

%ChangeinDigital Infrastructureinnext2yearsacrossAPAC

Source:DCD

OnPremiseServers

Colocated&ExternalServers

OnPremiseVirtualisations&Cloud Architectures

ExternalCloudProviders&Hyperscale

TheInfrastructurecycleofConstantRe-Balancing

StandingontheShoulderofGiants:“Howthecloud'giants'designandoperatetheirdatacenterscan

teachsmallerfacilitiesagreatdeal”

Agreestrongly35.6%

Agreeslightly44.5%

Neither10.9%

Disagreeslightly7.2%

Disagreestrongly1.8%

LowerinJapanHigheramongfinancial sector

Source:DCD

Solutions&learningslookedfor

ThankYou