RUNMON-RIFT: Adaptive configuration and healing for large-scale parameter inference

Gravitational wave parameter inference pipelines operate on data containing unknown sources, and run distributed hardware with widely varying configurations stochastic transient errors. For one specific analysis pipeline (RIFT), we have developed a flexible tool (RUNMON-RIFT) to mitigate the most common challenges introduced by uncertainties in source parameters computational hardware. On hand, RUNMON provides mechanisms adjust pipeline-specific settings, including prior ranges, ensure completes encompasses physical parameters. other, it tools for identifying adjusting realities of uncertainties. We demonstrate both general features controlled examples.