The Data Center Monitoring Solution is an integrated system that enables real-time visibility into the critical infrastructure of data centers, including power usage, thermal conditions, equipment status, and security access. Using a combination of IoT sensors, smart gateway, and cloud-based analytics, this solution ensures uptime, operational efficiency, and infrastructure safety.
Designed to monitor power consumption, AC water leak detection, temperature, humidity, server occupancy, and rack access, the system supports IT administrators in preventing downtime, detecting anomalies early, and managing assets efficiently.
Data centers are highly sensitive environments. Any undetected fire, water leak, electrical failure, or unauthorized access can disrupt operations and result in massive losses. Our client needed a proactive solution, one that could detect anomalies instantly and trigger immediate action to prevent system failures or safety hazards.
Implementing an end-to-end IoT solution tailored specifically for the Facility Operation Center of the biggest telco in Indonesia. By integrating intelligent sensors, automated alerts, and predictive analytics, we created a layered safety net to monitor and protect key environmental and electrical parameters.
Monitor critical power usage and thermal conditions to prevent system failure and optimize resource usage.
Track temperature and humidity in server rooms to prevent overheating and maintain ideal conditions.
Instantly detect air conditioner coolant leaks to avoid equipment damage and service disruptions.
Server mapping to identify underutilized racks and optimize space usage.
Combine all data points into a single dashboard for easier oversight, alarms, and remote management.
Track and analyze power consumption trends per rack, room, or equipment to reduce energy costs.
Gather data over time to forecast potential failures and plan proactive maintenance.
Monitor physical access to server racks with door sensors to prevent unauthorized entry.
Demonstrating eco-friendly solutions while maximizing efficiency.
