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Cloud Architecture and Deployment

Matt Deshon

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The Cloud

Pay per use IaaS

CaaS Hosted Services

SaaS Outsourcing

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Choices

You choose how you want to deploy

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Fifth level ADO.NET

Database Server Installation Server UNC / Netbios Ci Architecture N-tier Server ADO.NET UNC / Netbios SmartClient HTTP(S) Distributed Processor Browser Client

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Click to edit Master text styles Second level Third level Fourth level Fifth level Data Centre HTTP(S) SmartClient Browser Client

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Hosted Data Centre

Leased line SmartClient

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Click to edit Master text styles Second level Third level Fourth level Fifth level Data Centre Citrix Server Thin Client Browser Client

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Hosted Data Centre

Citrix Server Rever se P rox y Citrix G at ew ay Thin Client Browser Client

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Click to edit Master text styles Second level Third level Fourth level Fifth level Cloud Provider Citrix Server Rever se P rox y Citrix G at ew ay Thin Client Browser Client

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Click to edit Master text styles Second level Third level Fourth level Fifth level Cloud Provider Citrix Server Rever se P rox y Citrix G at ew ay Thin Client eModule client Mobile client Browser Client

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Cloud Computing Better Practice Guides – February 2012

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"When you look at auditor-general reviews [for example] about the current quality issues of IT within agencies, the much bigger risk to be worried about is the existing risks for security, backup, disaster recovery, aging assets, staff turnover and the lack of skills, and how all those things are getting worse in the context of budget cuts,"

-Steve Hodgkinson, Ovum's research director for Asia Pacific IT

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“Energy use and emissions can be reduced by more than 90 percent with a shared cloud service (for small

deployments of about 100 users)”

(“Cloud Computing and Sustainability: the Environmental Benefits of Moving to the Cloud”, Accenture White Paper, 2010)

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No Yes

On Premise Hosted Cloud

Question

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Case study 1: Not-For-Profit startup

 No Capex budget and very limited IT budget overall

 2 peak processing periods per year, where client surveys are filled out,

collated and processed.

 Standalone system – no data integration  Data Sovereignty is not a concern

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Reduce capital expenditure Reduce IT operational costs Accept use of offsite storage Reduce Carbon emissions

Light integration with onsite systems

Need to accommodate processing peaks

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Case study 2: University

 Large CapEx budget, just went through a hardware refresh 6 months ago  Large incumbent IT department

 Several peak processing periods per year, for student results, admissions

and class registration.

 Offsite storage is an option, but Data Sovereignty is an issue  Close integration with over 30 local software systems

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Reduce capital expenditure Reduce IT operational costs Acceptance of offsite storage Reduce carbon emissions

Light integration with onsite systems

Need to accommodate processing peaks

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References

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