Data centers can’t be managed in the dark. a clear KPI framework , ( alerting that stays actionable , and ( a DCIM platform that unifies facilities + IT telemetry into a single, reliable supervision layer Score Group — Là où l’efficacité embrasse l’innovation… We help organizations align Energy , Digital , and New Tech so monitoring becomes a lever for performance and sustainability—not just another dashboard. Why data center monitoring looks different in 2026 Three forces

Resilience starts with power. In 2026, data center leaders are balancing two pressures that now move together: infrastructure resilience (keeping services available despite incidents) and energy strategy (securing, optimizing, and reporting power use as constraints tighten). This article explains what “resilience + energy” really means in practice—across design, operations, compliance, and digital governance—so you can build facilities that are both robust and efficient .

Energy efficiency is now a data center capacity strategy. If you’re searching for a Data Center Energy Optimization 2026 Action Plan , the goal is simple: measure accurately, optimize without risking uptime, and build a repeatable operating model that lowers overhead energy (cooling, fans, power chain losses) while keeping IT performance predictable. In 2026, this matters more than ever as AI and high-density workloads push power and cooling systems to their limits. This art

Data centers are under unprecedented energy pressure in 2026. If you’re looking for practical levers to cut data center electricity demand , cooling water consumption , and carbon emissions , the good news is that many improvements are available right now—provided you measure the right KPIs, optimize both IT and facility layers, and connect energy strategy with digital operations. At Score Group , our mission is to support organizations in their energy and digital transform

Downtime is expensive. If you want a data center disaster recovery plan (DRP) you can truly trust, you must go beyond documentation and prove recovery works—repeatedly, predictably, and safely. The most effective way to do that is to automate failover tests : orchestrating recovery steps, validating applications end-to-end, collecting evidence, and making testing frequent enough to keep pace with change. In this guide, you’ll learn how to structure a DR plan for a data cente

DCIM has become the control tower of the modern data center. In 2026, “ Data Center DCIM managing capacity, energy and risks ” is no longer a niche operational topic—it is how operators keep services available, meet sustainability expectations, and plan densification (AI/HPC, edge, hybrid) without losing control. This article explains what DCIM should cover in 2026, which KPIs matter, how to connect DCIM with energy management and cybersecurity, and how to build a pragmatic d

High GPU density breaks “business-as-usual” cooling. If you are planning AI training or inference infrastructure, the real challenge behind Data Center Cooling Reliability and GPU Density is not only removing more heat—it’s removing it predictably , under peak load, during failures, and through maintenance windows, without performance throttling or outages. This article explains the engineering trade-offs, the reliability risks (air and liquid cooling), and a practical appro

Cloud starts with architecture. A “data center cloud” is not just a place where servers run—it’s an operating model that turns infrastructure (compute, storage, networking, security, and facilities) into standardized, automated, measurable services. In this guide, you’ll learn how a cloud-ready data center is built, what components matter most, and which real-world use cases benefit from this architecture—without getting lost in vendor jargon. Score Group — Where efficiency