Data Centers and IoT

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1 EIT 4.1 Thinking Different: Data Centers and IoT Chris Crosby, CEO, Compass Datacenters

Transcript of Data Centers and IoT

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EIT 4.1Thinking Different: Data Centers and IoTChris Crosby, CEO, Compass Datacenters

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Data Center World – Certified Vendor Neutral

Each presenter is required to certify that their presentation will be vendor-neutral.

As an attendee you have a right to enforce this policy of having no sales pitch within a session by alerting the speaker if you feel the session is not being presented in a vendor neutral fashion. If the issue continues to be a problem, please alert Data Center World staff after the session is complete.

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Accelerated EvolutionRapid period of changeOld rules no longer apply

StructureRolesDecision making

Data center role shiftAll-in-one versus matching needAvoid load group mismatch

Scale matters

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Driving the ChangeConvergence of data types

Large rich packets (video)Billions of small packets (IoT)

Value of dataInverse relationship with latency

End user requirements/expectationsData must be as close to end user as

possibleGeneration shift

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Not Ready for Primetime, Pt. 1The mega data center can’t do it all

GeographyCan’t get close enough to the customerLatency becomes a serious issueApplications processing capabilitiesWe used to call billions of tiny packets DOSNow it’s business as usual“Intelligence” isn’t distributedNetworkFat pipes are no longer enoughLatency mattersHetero v. HomogeneousThe big guys build for single appsToo expensive/inefficient for most enterprises

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Not Ready for Primetime, Pt. 2Existing “network” structures

Single data centerTwo levels (maybe)Centralized with DR w/ some synchronous requirementsCentralized w/ big pipe to regionalRegulatory environments pushing for more

Not optimized for “next generation” requirementsDifficult to hold “localized” contentDesign didn’t anticipate volumeAbility to process volume in real timeEven if it isn’t your app set, it will effect the public network

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The Stratified StructureHierarchical structure

3 levelsData center(s) at each level have specific function

Based on division of laborImprove processing capability

Distributed throughout the structureBetter support for converged architecture

Mission critical at all levelsWhy?$10M-$20M investment in new racks of gearEven the “cloud” has 10-20 racks that run all the commodity infrastructure

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Cost of Redundancy Versus SoftwareMission critical at the edgeCost to put into the software versus the cost to put into the hardwareJust like your car, what you can afford today is different than 5 years ago

Data CenterSoftware

Time

Cost