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How would an autonomic runtime make my life easier and reduce costs?

 
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Whether it be new business requirements, changing customer needs, an enhancement to an application, a new application, new servers, etc, one thing for certain is that the IT operational environment will keep on changing.

"Change is inevitable. Change is constant." - Benjamin Disraeli

   
 

There is an insatiable demand for using technology to achieve competitive advantage, leading to huge growth in the quantity and scale of systems organisations run and the data center real estate required to support the business.

The combination of this constant need for change with the growth in data center requirements has created an operational nightmare. With OPEX costs already spiralling just to keep the wheels turning, the additional requirements are pushing things to near breaking point. Human resource is a significant contributing factor to these increasing OPEX costs, and with increased complexity the cost of human error is also compounded.

The answer lies in automation, and the history of the automotive industry offers an insight in to the benefits that can be achieved. The costly, hand built, bespoke production of cars has all but died out, giving way to lower cost, mass produced cars using highly automated assembly lines. IT systems need to adopt a similar approach in response to the pressure to meet customer and business demands for quicker access to lower cost products that meet their needs.

Infiniflow is a highly automated runtime that provides significant OPEX savings. With autonomic¹ self-assembling, self-scaling, self-healing, self-managing and self-auditing capabilities, Infiniflow makes it easier and more efficient to manage change and operate your applications across the entire data center.

The key to realizing these benefits lies in Infiniflow's SCA-based model-driven architecture, support for re-useable OSGi components, and sophisticated, yet simple-to-use resilience and scalability behaviours. Furthermore, Infiniflow simplifies Change Control and Audit as the data to support this is automatically collected as a result of the model-driven approach.

 

 

1

Autonomic is a term borrowed from the "Autonomic Nervous System" for IBM's Autonomic Computing initiative to create computer systems capable of self-management, to overcome the rapidly growing complexity of computing systems management, and to reduce the barrier that that complexity poses to further growth.
   
 
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