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Data Center Infrastructure Management (DCIM) and IRM

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StorageIO industry trends cloud, virtualization and big data

 

There  are many business drivers and technology reasons for adopting data center  infrastructure management (DCIM) and infrastructure Resource Management (IRM) techniques, tools and best practices. Today's agile  data centers need updated management systems, tools, and best practices that  allow organizations to plan, run at a low-cost, and analyze for workflow  improvement. After all, there is no such thing as an information recession  driving the need to move process and store more data. With budget and other  constraints, organizations need to be able to stretch available resources  further while reducing costs including for physical space and energy  consumption.

 

The  business value proposition of DCIM and IRM includes:

 

DCIM, Data Center, Cloud and storage management figure

 

Data  Center Infrastructure Management or DCIM also known as IRM has as their names  describe a focus around management resources in the data center or information factory. IT resources include physical  floor and cabinet space, power and cooling, networks and cabling, physical  (and virtual) servers and storage, other hardware and software management tools. For some  organizations, DCIM will have a more facilities oriented view focusing on  physical floor space, power and cooling. Other organizations will have a  converged view crossing hardware, software, facilities along with how those are  used to effectively deliver information services in a cost-effective way.

 

Common  to all DCIM and IRM practices are metrics and measurements along with other  related information of available resources for gaining situational awareness.  Situational awareness enables visibility into what resources exist, how they  are configured and being used, by what applications, their performance,  availability, capacity and economic effectiveness (PACE) to deliver a given  level of service. In other words, DCIM enabled with metrics and measurements  that matter allow you to avoid flying blind to make prompt and  effective decisions.

 

  DCIM, Data Center and Cloud Metrics Figure

 

DCIM comprises the following:

  • Facilities, power (primary and standby, distribution), cooling,  floor space
  • Resource planning, management, asset and resource tracking 
  • Hardware (servers, storage, networking)
  • Software (virtualization, operating systems, applications, tools)
  • People, processes, policies and best practices for management  operations
  • Metrics and measurements for analytics and insight (situational  awareness)

 

The  evolving DCIM model is around elasticity, multi-tenant, scalability, flexibility,  and is metered and service-oriented. Service-oriented, means a combination of  being able to rapidly give new services while keeping customer experience  and satisfaction in mind. Also part of being focused on the customer is to  enable organizations to be competitive with outside service offerings while  focusing on being more productive and economic efficient.

 

DCIM, Data Center and Cloud E2E management figure

 

While  specific technology domain areas or groups may be focused on their respective  areas, interdependencies across IT resource areas are a matter of fact for  efficient virtual data centers. For example, provisioning a virtual server  relies on configuration and security of the virtual environment, physical  servers, storage and networks along with associated software and facility  related resources.

 

You can read  more about DCIM, ITSM and IRM in this   white paper that I did, as well as in my books Cloud and Virtual Data Storage  Networking (CRC Press) and The Green and Virtual Data Center (CRC Press).

 

Ok, nuff said, for now.

 

Cheers gs


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