In a traditional data center, your SAP PM system is sized for peak capacity (e.g., year-end shutdowns or seasonal overhauls). The rest of the year, that capacity sits idle. On AWS, you can auto-scale your compute and memory resources. During a massive turnaround maintenance event, you can temporarily double your system’s processing power, then scale back down.
Behind the scenes, AWS functions triggered a Amazon SageMaker model. The model ingested five years of vibration data from the turbine’s IoT sensors, which was stored not on a slow hard drive in Hamburg, but in Amazon S3 —the petabyte-scale storage lake. Plant Maintenance With Sap Practical Guide Aws
Three seconds later, the result flashed. “Estimated failure: 22 minutes. Root cause: Lubrication film collapse in aft bearing.” In a traditional data center, your SAP PM
“Sir,” she said, smiling, “that €300 included the compute for the AI prediction, the storage for the digital twin, the drone integration, and the real-time inventory sync. On our old servers, that would have cost €15,000 and taken three days.” During a massive turnaround maintenance event, you can