Demand for new and more powerful IT-based applications, combined with the economic benefits of consolidation of physical assets, has led to an unprecedented expansion of data centers in both size and density. Limitations of space and power, along with the enormous complexity of managing a large data center, have given rise to a new category of tools with integrated processes – Data Center Infrastructure Management (DCIM).
Once properly deployed, a comprehensive DCIM solution provides data center operations managers with clear visibility of all data center assets along with their connectivity and relationships to support infrastructure – networks, copper and fiber cable plants, power chains and cooling systems. DCIM tools provide data center operations managers with the ability to identify, locate, visualize and manage all physical data center assets, simply provision new equipment and confidently plan capacity for future growth and/or consolidation.
Basic DCIM components and functions include:
Once the initial DCIM asset database is built, the entire staff must follow best practices for change management to maintain a complete and accurate repository, otherwise the DCIM’s value will begin to deteriorate and the system will fall into disuse. Most DCIM vendors provide computer-based tools to facilitate and enforce these processes to expedite workflow and maintain database accuracy. A structured change and work management process can coordinate and track the efforts of the data center staff as they install, configure and provision new services. This provides the tactical “glue” to unite the various data center domains.
ThreshholdsAre any servers approaching power or heat thresholds that could cause them to fail?
How are these servers powered and how much power do they use? How are they connected to which networks?
What servers do we have, where are they and what is their function?
DependancyDo we have a current map of the power chain, network and server dependencies?/p>
Where do we have sufficient space, power and cooling capacity in the data center to support new servers/racks required for a new, critical application
How many trips into the data center will be necessary to validate recorded data and collect additional data?