Predicting and Detecting Failures: How Azure Strengthens Reliability for Mission-Critical Workloads
Microsoft, Wednesday, November 4th, 2026
Azure Failure Prediction and Detection predicts hardware failures and moves workloads, improving prevention of VM interruptions by 36%.
Azure Failure Prediction and Detection is an end-to-end system, fully operational since 2024, that uses machine learning and telemetry to predict, mitigate and remediate hardware failures before they interrupt workloads.
Microsoft says it has improved prevention of hardware-related VM interruptions by 36% across the Azure fleet and reduced hardware reboots by more than 36%.
It moves eligible workloads and notifies customers when action is needed, operating across General Purpose, Specialized Compute, HPC/AI and select Storage workloads.
SAP on Azure is used as an example of its value for mission-critical services, and the underlying system won a Best Paper Award at the 2025 IEEE Cloud Summit.