by Ann Withanee — October 6, 2010—Modius Inc., a leading provider of real-time monitoring solutions for data center mission-critical infrastructure, has announced enhancements to its OpenData product line with the launch of OpenData v3.4.
Modius’ ability to unify both facilities and IT data makes it easier for data center managers to view trouble spots and take immediate action, the company says.
OpenData v3.4 introduces several important features, including:
- Visual Alarm Correlation Modius has developed a new alarm visualization tool that allows users to quickly compare alarm timing across different categories of data-center equipment to more easily perform root-cause analysis and management.
- Dynamic Heat Map Reporting Modius has added a reporting feature that allows users to visually assess variation in performance data across different categories of equipment to easily identify outliers and trouble spots in equipment, rack or site-level performance.
- Integrated Reporting Framework OpenData v3.4 introduces an integrated framework that allows all major OpenData reports types (line & bar charts, dashboards & pie charts, alarm visualization, and heat mapping) to be available from a single tab.
- New Rack Management Dashboards Based on recent customer field work, Modius has developed new dashboards that give users specific insight into several rack-level management issues, including which racks have available capacity for new servers, which racks have most variable energy consumption, and which racks have highest or lowest average operating temperature.
- Dynamic Heat Map Reporting Modius has added a reporting feature that allows users to visually assess variation in performance data across different categories of equipment to easily identify outliers and trouble spots in equipment, rack or site-level performance.
From a single console, Modius’ OpenData platform displays in real-time comprehensive power and environmental intelligence from a distributed network of facilities, including data centers, server closets, call centers and mechanical yards. Using these metrics, data center leaders have the ability to anticipate and plan for numerous data center events that will enable them to reduce data center energy consumption.
The system can be installed either locally within the enterprise network or remotely with the database and server application hosted in a cloud-based configuration for easier service management.
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