Digital Business Models
The Cloud can be leveraged to power disruptive Digital Business Models, and these can be conceived, planned and implemented through a Digital Transformation Lifecycle.
Digital Transformation Lifecycle
A process of ‘migrating to the Cloud’ can be very simple, such as moving from in-house Microsoft Exchange email to Google Apps, or it can be very complex – A long term plan to close multiple data centres, consolidate and migrate hundreds of applications.
|Phase||Key Activities and References|
|Transform Planning||Given this breadth and depth of potential Cloud migration scenarios the first key step is to understand and quantify the scope of the exercise. The OMG's Architecture Driven Modernization best practices provide an ideal framework that can encompass the most complex of enterprise scenarios.|
|Cloud Solution Design||This scope can then be fleshed out and used to populate a process of Cloud Solution Design.|
|Cloud Migration||With the required Cloud services identified a process of Cloud Migration can plan and implement their adoption including data and application transfers.|
|Cloud Operate and Manage||Implement ongoing Application Operations utilizing 'Infrastructure as Code' best practices.|
Use Case Studies
These case studies provide examples of the different scopes and drivers of Cloud Migrations that are defined in Architecture Driven Modernization.
|Lift and Shift||Azure||Microsoft HCP - Microsoft had a zero downtime requirement for their highly sensitive customer privacy system, migrating it entirely as is from on premise to Azure.|
|Database Modernization and Migration||AWS||Netflix - Netflix wanted to shift from on premise Oracle databases to a Cloud Native approach, migrating core billing systems to AWS and also to a new Cassandra / MySQL database platform.|
|Application Transformation||Azure||Microsoft MS Sales - Microsoft's core Revenue Reporting system had reached the limits of both the underlying infrastructure and also the application functionality essential to agile competitiveness.
It was identified that Lift and Shift only would not address the latter challenge, and so additionally the apps were modernized for Azure PaaS to leverage a Microservices and Big Data architecture.