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Colocation Data Centers: An Overview of Predictive Maintenance (Part 2 of 3)

Venkatesh Subramanian
4 min readDec 10, 2024

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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.

some Key metrics — cloud native development

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

Cooling system — Key Metrics

Engineering and IOT knowledge

I’d like to reiterate that predictive maintenance is an interdisciplinary field. To excel in this area, it’s…

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Venkatesh Subramanian
Venkatesh Subramanian

Written by Venkatesh Subramanian

Product development & Engineering Leader| Software Architect | AI/ML | Cloud computing|https://www.linkedin.com/in/venkatesh-subramanian-377451b4/

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