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Franck Petit,Senior Sales Manager - APAC, DCD Group
Standing on the Shoulders of Giants:Learnings from Hyperscale
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AboutDCD?
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Agenda
1. ThecontextofHyperscale/theneed2. TheprofileofHyperscale/thedelivery3. LearningsfromHyperscale
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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
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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
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Whatarethedriverscreatingthisexponentialdemand?
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Thisisallcreating‘ThePerfectStorm’
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We are entering Zettastructure ?- the Era of the Zettabyte
• By2020therewillbe5Zettabytesofdatageneratedbymorethan22billionconnecteddevices.
• OneZettabyteis1021
• Bytheendofthedecade10%ofglobalenergywillbeconsumedbyITwhen3.2%isusedactually.
• By2040ithasbeencalculatedthattoprocesstheworld’sdatarequirementsusing today’sinfrastructure, itwouldconsumealltheenergyintheworld.
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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
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TheProfileofHyperscale
• Hyperscaleassociatedmorethananythingwithgrowthofcloud&variabledemand
• Keyoperational&commercialvaluebeyonddatacenter standardsofresilience,efficiency&immediacyisscalability.
• Thismeansfacilitiesthatareusuallyverylarge,closetofiber networkintersectionpointsand(increasingly)withaccesstosustainableenergysources.
• Designprinciplesincludeopennetworks,disaggregation,software-definedorchestration,core&podunits.
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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.
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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
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January2019researchindicatesin-housemovingunder50%offootprintacrossAPAC
InHouse49.0%
Colocated30.6%
Privatecloud5.3%
Publiccloud6.2%
Otheroutsourced
8.8%
Source:DCD
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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%
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%ChangeinDigital Infrastructureinnext2yearsacrossAPAC
Source:DCD
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OnPremiseServers
Colocated&ExternalServers
OnPremiseVirtualisations&Cloud Architectures
ExternalCloudProviders&Hyperscale
TheInfrastructurecycleofConstantRe-Balancing
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StandingontheShoulderofGiants:“Howthecloud'giants'designandoperatetheirdatacenterscan
teachsmallerfacilitiesagreatdeal”
Agreestrongly35.6%
Agreeslightly44.5%
Neither10.9%
Disagreeslightly7.2%
Disagreestrongly1.8%
LowerinJapanHigheramongfinancial sector
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Source:DCD
Solutions&learningslookedfor
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ThankYou