Data Center 2.0 – The Sustainable Data Center and the use of Enterprise Architecture

Recently I had an interesting conversation with John Booth of Carbon3IT (who is also Chairman of DCA Energy Efficiency and Sustainability Steering Group) about my latest book on sustainable data centers. The discussion focussed on what the book is addressing and the level of abstraction that is being used.

Based on this discussion I made a short presentation with a different visualization of the idea behind the book and the informal use of an enterprise architecture framework when writing the book.
Although not stated explicitly, the book is loosely based on an Enterprise Architecture Framework. This EA framework has four Architecture domains:
  • Business architecture
  • Information architecture
  • Information systems (application) architecture
  • Infrastructure architecture
For each of these architecture domains, this EA framework shows five levels of abstraction;
  • Why – Contextual;  Motivation, scope, constraints, strategies, principles that apply to the different architecture domains
  • What – Conceptual; The vision of services (business services, information services, application services, and infrastructure services)
  • How – Logical; The mechanisms, components, and connections that provide the services
  • With What & Who – Physical; The physical implementation, deployment and sourcing of all the components and people.
  • When – Transformational; To define an integrated roadmap to make the wanted transformation possible.
The book focus is on the two top layers and scratch the surface of the logical layer or in other words the strategical and tactical level. It also spend some thoughts on transformation.
As stated this architectural framework is used in an informal way it don’t define formal architecture deliverables for the different domains and levels of abstractions.

But in the end the use of an enterprise architecture framework is the way to go to design and “build”,  in a coherent and consistent way,  a sustainable data center.

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