Colleague and friend Annie Shum shared with me fascinating data from her research on Cloud Computing. According to Annie, the economics of mega datacenters are compelling:
The study concludes that hosted services by Cloud providers with super large datacenters (at least tens of thousands of servers) can achieve enormous economies of scale of five to seven times over smaller scale (thousands of servers) medium deployments. The significant cost savings is driven primarily by scale.
In the context of BSM Review, the obvious question this study poses is the tweaking of Business Service Management to respond to and cope with operational and business challenges on such a scale. For example, at smaller scale configuration drift might be laboriously manageable through traditional techniques. For super large datacenters, however, it is a compound problem:
- Exception handling is prohibitively expensive at large scale.
- Scale economics are likely to diminish (due to configuration drift problems).
- The associated risk could be lethal. Large scale configuration drift might go beyond loss of data in an IT department - the datacenter operator might lose customer’s data.
Knowing Annie, I have no doubt she will elaborate at length and depth in this blog on various Cloud Computing aspects of Business Service Management such as Virtualization Sprawl. (See her recent article A measured Approach To Cloud Computing: Capacity Planning and Performance Assurance for the first “installment” on this important topic). I will do the same with respect to Agile Business Service Management at grand scale. For example, an intriguing question is the setting, modus, operation and governance of the Application Support Team in this kind of environment. One can actually view it as a Venn diagram:
- Cloud Operations on one ‘circle’
- Customer Application Development on another
- Application Support in the intersection