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
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
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