To ensure reliability for long-running tasks, SkyPilot implements triple fault-tolerant protection:
- automatic failover: When insufficient cloud provider capacity is detected or a Spot instance is reclaimed, the system automatically switches to another availability zone or cloud platform (e.g., from AWS to GCP) within 60 seconds.
- State persistence: By
workdirDefined local code and data are synchronized to the cloud in real time, and tasks can be continued from breakpoints when restarted. - Health Screening System: The built-in monitoring module continuously detects GPU temperature, network latency, and other metrics, and triggers an alert or rebuilds the instance when abnormal.
In typical scenarios, these mechanisms can increase the task success rate to 99%+. For example, in a hyperparameter search task, even if some of the working nodes fail, the system retains the checkpoint file of the completed job and continues the unfinished task on a new instance.
This answer comes from the articleSkyPilot: an open-source framework for efficiently running AI and batch tasks in any cloudThe
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