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Software Tools Help Manage the Growing Complexity of Data Centers

By Tech Desk · 2026-09-16 · 2 min read
A vast, dimly lit industrial hall filled with rows of tall, black server racks and thick bundles of cables running along the ceiling
Illustration: Tradingbird

As artificial intelligence drives higher power demands, operators are turning to specialized software to prevent outages and control costs.

Data centers are the physical backbone of the digital economy, but keeping them running smoothly is a logistical challenge. The rise of AI workloads has pushed energy density to new limits, making it harder for operators to track power usage, cooling efficiency, and space allocation manually. This pressure has accelerated the adoption of Data Centre Infrastructure Management, or DCIM, platforms.

These software suites provide a unified view of a facility’s operations, allowing teams to monitor hardware in real time. By aggregating data from power supplies, sensors, and network equipment, these tools help prevent costly outages. However, the market is crowded, and choosing the right system involves weighing specific technical strengths against broader operational needs.

Digital twins map physical reality

Several leading platforms, such as EkkoSense and FNT Software, focus on creating digital twins of the physical infrastructure. These systems use real-time sensing to visualize thermal flows and cable paths in three dimensions. This approach helps identify hot spots or airflow bottlenecks before they cause hardware failures. The trade-off is that these detailed visualizations require precise sensor integration, which can complicate initial setup in older facilities.

Industrial automation meets cloud management

Other solutions, like ABB’s automation suite and Panduit’s cloud-native platform, prioritize heavy-duty electrical control and multi-site scalability. ABB’s tools are built on industrial-grade technology, offering granular control over high-voltage substations and backup generators. Panduit, meanwhile, focuses on collecting data from power distribution units to create auditable records for capacity planning. While these robust systems offer high reliability, they may present a steeper learning curve for smaller teams compared to simpler monitoring dashboards.

Specialized tools for thermal challenges

Vertiv’s Environet Alert exemplifies the trend toward specialized monitoring for critical thermal and power hardware. It aggregates data from large fleets of uninterruptible power supplies and liquid cooling loops, turning raw telemetry into actionable alerts. This is particularly useful for multi-tenant sites where different clients have varying uptime requirements. The catch is that such specialized focus may require additional tools for broader network management, meaning operators often need a combination of platforms to cover all bases.

Market diversity drives strategic choice

According to a recent ranking by GN auto tech/cloud: cloud infrastructure, the top ten platforms represent a mix of cloud-native flexibility and industrial-grade rigor. The choice between them often depends on whether a facility prioritizes energy optimization, physical asset tracking, or electrical automation. As data centers continue to grow in density, these management tools are becoming as critical to operational stability as the hardware they monitor.

Based on reporting by Data Centre Magazine, compiled by the Tradingbird desk.

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