Wireless sensors watch temperature, humidity, power quality, and water presence across data halls, reporting over a proprietary network to warn operators before conditions threaten uptime.


Data Center Monitoring collects equipment condition and operating-state readings across commercial buildings and workplaces and sends the readings to a secure cloud application. Dashboards and configurable rules show condition trends and early fault indicators, retaining history by site, zone, or asset. This gives facility, property, and energy teams the context to plan maintenance before failure, helping them reduce unplanned downtime and unnecessary service and document the response.
Data Center Monitoring is a condition monitoring, predictive maintenance solution by Urban.io, delivered as Public SaaS / Edge/Local, serving Buildings & Facilities, Energy & Utilities, Industrial & Manufacturing.
The system utilizes wireless sensors that monitor temperature, humidity, power quality, water presence, and other critical parameters throughout the data center environment. These IoT devices connect to Urban.io gateways via the company's proprietary wireless network, which operates in 95% of populated locations globally without requiring custom configuration. Data is transmitted to Urban.io's cloud-based analytics platform where it's processed and analyzed for trends and anomalies. The solution provides real-time alerts via email and SMS when parameters approach critical thresholds, enabling immediate response to potential issues. Deployment follows an IoT-as-a-Service (IoTaaS) model that includes all hardware, software, and support for a predictable annual subscription fee, eliminating upfront capital investment. The solution is deployed across various data center scenarios including enterprise data centers monitoring server room environments, co-location facilities ensuring tenant SLA compliance, edge computing sites in remote locations, and telecommunications infrastructure supporting network operations. Additionally, it's used for disaster recovery sites where continuous monitoring is essential despite infrequent physical access, and high-performance computing facilities with precise cooling requirements where environmental stability is critical for operations.
Vendor documentation: link 1 · link 2 · link 3 · link 4 · link 5 · link 6 · vendor website
Evidence level: L2 · Documented: how evidence levels work
Failure prevention: Early detection of environmental issues prevents equipment failures and service interruptions
Cooling optimization: Adjust cooling based on actual environmental data, reducing power consumption
Hands-off monitoring: Comprehensive coverage of distributed assets without manual inspections
Predictable costs and compliance: IoTaaS model avoids capital investment while helping meet stringent data center requirements
Continuous tracking of temperature, humidity, and other critical parameters
Early warning of water leaks before they cause equipment damage
Assessment of electrical systems to prevent outages
Proprietary network with global coverage requiring no custom configuration
Centralized platform for data visualization, trend analysis, and reporting
Configurable threshold notifications, with simple installation on existing infrastructure
Ask the AI Solution Architect: compare this solution against alternatives, check connectivity for your region, and get integration guidance. Included with IoT Apps Enterprise.
Fit, availability or a detail on this page. Goes straight to Urban.io, no RFP needed.

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