While operative imperatives in enterprises focus management attention on CAPEX or OPEX investments, service levels to be achieved drive decisions regarding storage technologies and data centre transformations. But, what really drives the actual process of transformation is economics. New technologies promising performance, scalability or availability with optimized use of resources at low costs, prove attractive in context.
It is estimated by extant research that data centre requirements for growing businesses will, normally, double every year. Growth stage budgets must look towards increasing outlays towards IT expenditure from year to year. Alternately, they can meet the challenge by investing in storage optimization and efficiency technologies to manage their growing technology and data storage needs and intensifying the use of existing data centre resources.
How do enterprises achieve required efficiencies? It will all begin with an acknowledgement that there is growing need for automation, but current management tools are siloed and are operationally inefficient. Further, enterprises will realize that ongoing investments in physical servers and their maintenance will only serve to increase operational expenses and investment in server virtualization will curb both physical server costs and promotes material gains by reducing operating costs. Integrated virtual servers will help achieve a dynamic, pooled resource environment that makes efficient IT service management and data centre transformation.
The importance of right sizing will not be denied. Enterprises will estimate the optimum service levels required from applications for their business units. Data centre transformations will be determined by the service level objectives identified. Availability, performance and recovery of applications will need integration of a variety of tools with the underlying storage infrastructure. Familiar management consoles for performing application or virtual machine specific storage tasks will have to be built in to ensure high level orchestration of the framework and ultimately enable the IT Service automation for the enterprise. This in turn will form the public or private cloud architecture that scale out dynamic data centre transformations and provides end to end provisioning of workload, server, hypervisor network and storage against the service level delivery objectives.
Given the above, data centre transformation will be evolutionary rather than revolutionary. Data centre transformation will result from streamlining of management, cost model considerations, advanced scaling for servers and storage and convergence/integration of different technology domains to advantage the enterprise.