From legacy to cloud: evolved IT service delivery models

Public, private, hybrid and even legacy Information Technology are IT value delivery mechanisms sometimes also referred to as IT service delivery models (ITSdM). ITSdM’s have been around the block.

ITSdM’s based on cloud computing is the most recent iteration.

Start-up companies are on one end of the model, while established companies are on the other. That is, established companies have to start with their existing legacy IT model and painstakingly move toward a cloud based model, while start-up companies begin there.

Strategies for moving toward the cloud based model differ. For example, I recently read about Bechtel, the engineering and construction giant, who made the strategic decision to avoid the common approach of incrementally improving their legacy IT, and instead choosing a desired state, inspired by successful cloud service providers, and moving back from that desired state.

Bechtel began the process by benchmarking companies like Google, Salesforce and Amazon. Smart.

Here are some of the numbers:

Bechtel Legacy IT                                              Benchmark

Storage:$3.75/GB/mo                                       $.015/GB/mo at Amazon.com

Compute:$0.55/server/hour                           $0.10/virtual machine/hr at Amazon.com

Server:1 admin/100 servers/hour                  1 admin/20,000 servers at Google

Network:$500/Mb                                            $10-15/Mb at YouTube

Assuming you currently work at a legacy IT monolith of a company, and many of us do, how do we as technologists help transition to a cloud based ITSdM? What does agile, value-based IT look like and, perhaps more importantly, what skill sets are required to make that happen?

I’m going to try and answer these questions not only by analyzing the role of the technologist in moving ITSdM’s from legacy to the cloud; but also by attempting to discover the relevant skill sets required  for developing value-distance by leveraging enterprise social networks, big data and business intelligence and other trends currently developing in the space .

As always thanks for reading and please leave a reply, I’d love to hear what you have to say.

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