BMC already could map servers and networks. Now the software vendor has discovered storage.
BMC’s new Atrium Discovery for Storage automates the discovery and mapping of storage resources and their relationship with servers and the network.
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Raphael Chauvel, BMC’s senior director of product management, said the Atrium Discovery for Storage works with the Altrium Discovery and Dependency Mapping (ADDM) product. It also has been integrated with the Atrium Configuration Management Database (CMDB), which is a centralized service that pulls data from multiple resources for automation and visualization so IT can plan and assign priorities for business services.
Chauvel said BMC customers had mostly used spreadsheets to map storage resources.
“Now we have automated the discovery process,” he said. “Before we didn’t have automation and discovery [of storage] to servers and applications.”
BMC’s Atrium Discovery for Storage shows cloud management software, logical partitions and links to what device is consuming storage. The application works with storage systems and software from EMC, HP, Hitachi Data Systems, IBM and NetApp via SMI-S, Web-based Enterprise Management (WBEM) and SNMP management protocols.
The software is generally available now and the company plans to add more support in future updates.
Robert Young, IDC’s research manager for enterprise system management software, cloud and virtualization system software, said the value proposition for asset, discovery and dependency mapping has changed now that IT is run like a business.
“It’s not so much about keeping systems running and discovery of assets,” Young said. “It’s about how they impact business services. IT needs to show that they have an understanding of the value and ROI behind new technology adoption. This is where IT is showing its value. The cloud is enabling this kind of thinking and it’s fostering it more than ever.”
Young said BMC’s offering previously supported servers and networks but now, along with the new storage piece, it gathers data faster and can scale across larger data centers.