Kentucky gis

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Cloud Computing and the Public Sector Or why I love my house. Ed Saipetch Sr. vSpecialist - Service Providers EMC @edsai on twitter http://breathingdata.com /

Transcript of Kentucky gis

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Cloud Computing and the Public Sector

Or why I love my house.

Ed SaipetchSr. vSpecialist - Service ProvidersEMC@edsai on twitterhttp://breathingdata.com/

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Why is it relevant?

• Opportunities

• Reduce costs

• Increase revenue

• Government initiatives support Cloud

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What do Clouds taste like?

• SLA-focused. Pay-as-you-go.

• Flexible/Scalable/Resilient

• Low cost of entry

• Secure

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The Cloud• Software as a Service

• Platform as a Service

• Infrastructure as a service

Virtualized Datacenter

Cloud Computing

Private Cloud

You Control

External Cloud Outside Firewall

Internal Cloud Inside Firewall

Security

Virtualization

Information and Network

Public Cloud

Federation

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SaaS - Software as a Service

• Software as a Service

• Hardware/Operating System/Application are abstracted

• More simplicity / Less control

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PaaS - Platform as a Service

• App development in the Cloud

• Hardware/Operating System are abstracted

• Quick development, low cost entry

• Uses common languages (.Net, RoR, Java)

• Rich API service integration

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IaaS - Infrastructure as a Service

• Private/Hybrid/On & Off Prem.

• 100% Virtualized

• Self-service portals

• Bring and/or Maintain your own OS/App

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Other services

• Storage - Inexpensive object-based

• Backup - Data protection

• Unified Communications/Collaboration

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Is the Cloud right for you?

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It depends.*(*yes. we all hate that answer)

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Risk

• What can I put in the Cloud?

• Regulations & Compliance

• Data offshore?

• Trust but verify

• Acceptable fault domains (1 provider?)

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Governance

• *aaS can bring good behavior

• Deliver IT as a service

• End users want us out of the way

• Server huggers/ IT pros want control

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GIS Consumer Portal App on PaaS

• Use case: Mobile app or Mashup

• What’s required:

• .Net, Java or Ruby on Rails app

• PaaS platform understanding

• Benefit: Rapid development. Low cost. Scalable platform.

Exam

ple

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GIS Analytics App on IaaS/PaaS

• Use case: Image recognition/Large data set analytics

• What’s required

• .Net, Java or Ruby on Rails to dev app on Azure, Spring, Joyent or similar

• Benefit: Rapid development. Low cost. Scalable platform.

Exam

ple

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Outsourced Infrastructure

• Move to IaaS in a regional SAS 70 datacenter

• What’s required:

• 100% virtualization (it’s a journey)

• Benefit: Lower costs at small scales, little NRE (Non-recoverable Engineering)

Exam

ple

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What do I do next?

• Assess internal IT infrastructure (IaaS)

• Capex vs Opex

• Develop new apps to bring in revenue (PaaS) or use as leverage

• Reduce IT Management workload (*aaS)

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Thank you.

Presentation & Resources: http://breathingdata.com/