20,919,685 Total Points 24,106 Total Sites 1,390 Datacenter Megawatts Monitored 23,382 Cell Towers 69,500 Racks Monitored 56,753 HVAC Units Monitored 31,322 UPS Units Monitored 24,788 Generators Monitored 1.39 Utility Gw Monitored 20,919,685 Total Points 24,106 Total Sites 1,390 Datacenter Megawatts Monitored 23,382 Cell Towers 69,500 Racks Monitored 56,753 HVAC Units Monitored 31,322 UPS Units Monitored 24,788 Generators Monitored 1.39 Utility Gw Monitored 20,919,685 Total Points 24,106 Total Sites 1,390 Datacenter Megawatts Monitored 23,382 Cell Towers 69,500 Racks Monitored 56,753 HVAC Units Monitored 31,322 UPS Units Monitored 24,788 Generators Monitored 1.39 Utility Gw Monitored

Industry Brochure

Data Center Monitoring & Management

How Mango by Radix IoT delivers portfolio-wide oversight with local precision for modern data center operations.

data-center-brochure.pdf 8 pages

Brochure Contents

Read the full brochure

The Challenge: Everything is Connected — Except Your Data

Data centers are expanding faster than the tools meant to operate them — across geographies, vendors, architectures, and workloads. Hyperscale campuses. Edge containers. AI racks pushing 100kW. Liquid cooling and alternative energy sources are no longer experimental — they're operational realities. But as the footprint evolves, so does the fragility hiding inside it.

Monitoring platforms can't talk to each other. Real-time telemetry is patchy or delayed. IT and OT remain siloed. Legacy systems coexist with modern hardware, held together by tribal knowledge and manual workarounds. Alarms fire constantly, but response is still reactive.

Blind Spots Across a Mixed-Vendor Stack

BMS, DCIM, EPMS, and OEM tools each speak a different language, none of which give you full operational visibility.

Alarm Fatigue That Hides Real Failures

Thousands of daily alerts with no priority logic bury the critical few — burning team capacity and increasing downtime risk.

Siloed Teams, Fragmented Tools

IT and facilities operate in parallel, without shared systems, shared insight, or unified action when it matters most.

Monitoring That Can't Handle the Load

AI and high-density deployments demand high-speed power and cooling telemetry that most platforms can't provide.

Compliance Without Clean Data

ESG metrics, audits, and executive reporting demand defensible data — most operators are still stuck in spreadsheets.

More Sites, Fewer People, Zero Room for Error

With lean teams, lights-out operations, and remote facilities, swift resolutions depend on real-time information.

The Solution: Portfolio-Wide Oversight with Local Precision

Real-Time Telemetry for AI-Era Infrastructure

Mango delivers high-frequency telemetry from power and cooling systems. Actionable insight fast enough to manage AI-scale loads and dynamic conditions.

Live Alerts That Drive Action

Mango cuts through the noise and alerts on what matters. It connects directly to your workflow tools so teams can act immediately and consistently.

Bridging IT and OT Without Forcing a Merger

Mango integrates facility and compute infrastructure into a shared layer of visibility. Both IT and OT teams retain their tools while operating from the same source of truth.

ESG + Strategic Intelligence, Baked In

Mango continuously tracks PUE, WUE, and carbon intensity. Clean, defensible data for reporting, audits, and smarter long-term planning.

Beyond DCIM — Built to Outlast the Stack

Mango connects legacy platforms with emerging technologies across modular builds and edge deployments. A stable layer that evolves with your infrastructure.

How Mango Works for Data Centers

Mango installs on edge-based hardware (such as the Mango RD50 or a VM) or runs as a cloud-native service. It supports over 40 protocols — Modbus, MQTT, SNMP, BACnet, REST and gRPC APIs — to normalize telemetry from legacy and modern systems into one unified platform.

Beyond integration, Mango captures the operational knowledge that typically lives in the heads of experienced engineers: how a specific UPS behaves under load, which alarms indicate true risk, or what to check first when a generator stalls. That insight is made visible, repeatable, and accessible across shifts, facilities, and teams.

Multi-system integration across BMS, metering, and compliance
Built for complex, multi-vendor portfolios
Remote-ready operations from any location
Contextual intelligence that filters by impact and priority
Fast deployment with minimal IT overhead
Phased rollouts that work with existing infrastructure

Quantifiable ROI

43%

Faster resolution of power and cooling faults across live environments

35%

Reduction in manual energy and carbon reporting across campuses

41%

Decrease in alert volume across multi-vendor infrastructure

38%

Reduction in on-site dispatches across remote and edge sites

32%

Increase in uptime assurance across AI and high-density racks