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Cloud Computing Platforms for Business, Fact or Fiction?Fabrizio Ricelli, Prevendita Italia
Mainframe based        Applications 30 Years of Disparate Technologies PersonalComputing Connected Applications Internet-Connected Applications Services-Based Applications Mainframe Applications Personal Computing Mainframe Applications Connected Applications Personal Computing Mainframe Applications Internet-Connected Application Connected Applications Personal Computing Mainframe Applications Host Systems Early – mid 1980s Client Server Late 1980s –               mid 1990s Internet-Enabled Mid 1990s Composite /Services-Based Mid 2000s – . . .
Cloud Computing A style of computing where massively scalable IT enabled capabilities are delivered as a service to external customers using Internet technologies. – Gartner Brought about by the convergence of key technologies, computing trends, and architecture patterns Cheap hardware Virtualization High bandwidth/low latency communication RESTful Web Services Characterized by a different payment/revenue/chargeback model Subscription-based Transaction-based Ad revenue-based Achieves lower operating costs, flexibility, CapEx to OpEx
Cloud Deployment of Modernized Applications
A Modernization Journey with Micro Focus  Transformation Improvement Move existing Enterprise Applications from the current Operating Platform to a new modern, cost effective and flexible platform to deliver immediate operating cost savings of up to 85% Step 1 Cost 1 100 Agile Continuous Improvement Use the cost savings to Modernise the Enterprise Application  on the new modern platform on a continuous basis tomeet requirements Step 2 Transformational Improvement Time 2 Continuous Improvement
Application Qualities in the Cloud ,[object Object]
Allow easy provisioning for new end-user groups
Software-as-a-Service (SaaS)
Allow mash-up (Web 2.0)

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Cloud Computing 2010 - Micro Focus - Fabrizio Ricelli

  • 1. Cloud Computing Platforms for Business, Fact or Fiction?Fabrizio Ricelli, Prevendita Italia
  • 2. Mainframe based Applications 30 Years of Disparate Technologies PersonalComputing Connected Applications Internet-Connected Applications Services-Based Applications Mainframe Applications Personal Computing Mainframe Applications Connected Applications Personal Computing Mainframe Applications Internet-Connected Application Connected Applications Personal Computing Mainframe Applications Host Systems Early – mid 1980s Client Server Late 1980s – mid 1990s Internet-Enabled Mid 1990s Composite /Services-Based Mid 2000s – . . .
  • 3. Cloud Computing A style of computing where massively scalable IT enabled capabilities are delivered as a service to external customers using Internet technologies. – Gartner Brought about by the convergence of key technologies, computing trends, and architecture patterns Cheap hardware Virtualization High bandwidth/low latency communication RESTful Web Services Characterized by a different payment/revenue/chargeback model Subscription-based Transaction-based Ad revenue-based Achieves lower operating costs, flexibility, CapEx to OpEx
  • 4. Cloud Deployment of Modernized Applications
  • 5. A Modernization Journey with Micro Focus Transformation Improvement Move existing Enterprise Applications from the current Operating Platform to a new modern, cost effective and flexible platform to deliver immediate operating cost savings of up to 85% Step 1 Cost 1 100 Agile Continuous Improvement Use the cost savings to Modernise the Enterprise Application on the new modern platform on a continuous basis tomeet requirements Step 2 Transformational Improvement Time 2 Continuous Improvement
  • 6.
  • 7. Allow easy provisioning for new end-user groups
  • 11. Support existing data formats“Growing Fast“ “On and Off “ Inactivity Period Compute Compute Average Usage Usage Average Time Time On & off workloads (e.g. batch job) Over provisioned capacity is wasted Time to market can be cumbersome Successful services needs to grow/scale Keeping up w/ growth is big IT challenge Complex lead time for deployment “Unpredictable Bursting“ “Predictable Bursting“ Compute Compute Average Usage Average Usage Time Time Unexpected/unplanned peak in demand Sudden spike impacts performance Can’t over provision for extreme cases Services with micro seasonality trends Peaks due to periodic increased demand IT complexity and wasted capacity
  • 12.
  • 13. Security systems to protect data at rest and in motion
  • 14. Cloud-agnostic SaaS applications operations & management
  • 15.
  • 16. Private Cloud, through partners (*)
  • 17.
  • 19.
  • 20.
  • 21. 30 years of technology expertise
  • 25. Industry partnershipsPC ClientServer Web Services Cloud 9