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Colocation Data Centers: An Overview of Predictive Maintenance (Part 2 of 3)
Any cloud-native developer typically examines observability dashboards in Grafana and Kibana, sets alerts for key metric thresholds, and takes manual action, in addition to leveraging auto-scaling and self-healing tools. It is the same for any other system.
Cooling System Key Metrics
Please refer to the cooling system components in Part 1, the key data points from the cooling system can be categorized into several groups. Below are some of them
1. Fluid flow parameters: airflow rate and water flow rate
2. Pressure parameters: gas-to-water and water-to-gas pressure
3. Mechanical parameters: vibration, motor speed, and compressor performance
4. Thermal parameters: temperature, humidity, and cooling capacity
5. Performance metrics: fan performance and overall system efficiency
Engineering and IOT knowledge
I’d like to reiterate that predictive maintenance is an interdisciplinary field. To excel in this area, it’s…