A screenshot of nlyte's DCIM solution
(WEB HOST INDUSTRY REVIEW) — Data center infrastructure management provider nlyte Software announced on Monday it has launched nlyte 6.2 which it calls the first DCIM solution to provide large scale data center project lifecycle management.
The move comes nearly a year after nlyte closed $12 million in series C funding, which it is using for expansion of operations, acceleration of product development, strengthening of the partner ecosystem and the hiring of staff.
nlyte DCIM project lifecycle management allows customers to auto-allocate hundreds of assets to create what-if models for any number and size of data center projects.
It then automatically convert those models into actionable project plans with associated work orders, and predicts the impact those projects have on the availability of power, space, cooling and connectivity.
Each model can support moves for hundreds of assets tracked through Gantt charts to an on-time project completion.
nlyte DCIM project lifecycle management makes it easy to simulate and manage large scale moves, adds and changes, technology refreshes, migrations, consolidations and other complex data center projects.
Version 6.2 of nlyte has additional capabilities including expanded browser support for Safari on the Mac, ongoing support for French and enhanced cable visualization.
The cable visualization features allow users to selectively show one or many levels of connectivity so they can rapidly navigate even the largest networks to track connections and pinpoint potential redundancy issues at a glance.
“DCIM needs to become simpler to adopt and use,” said Jon Temple, president and CEO at nlyte Software. “In August of this year, nlyte introduced an entry level solution, nlyte Express Edition that makes it easy for companies to get started quickly with DCIM. DCIM project lifecycle management makes it easy for customers interested in enterprise class capabilities to move rapidly up the DCIM maturity curve and take advantage of advanced features that more effectively optimize the user of power, cooling and space.”
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