32Design the health check that decides whether a node may accept jobs.▼mediumNewMetaCoreWeaveCrusoe4 replies◆ premiumA check that is too strict removes healthy capacity and one that is too loose lets a broken node take a job down. The three tiers by cost, the fleet-median comparison that catches degradation no threshold does, and the false-positive budget that has to be set before any of it runs.Open full answer →
17Design the controller that decides whether a GPU node is healthy. What are its states, and how do you tune its false-positive rate?▼hardNewMetaCoreWeaveGoogle4 replies○ sign inThe controller's real design problem is not detecting faults but deciding when a signal is strong enough to remove a node from a job. The six states and their transitions, the cost asymmetry that sets every threshold, and the arithmetic showing what a one-percent false-positive rate costs at fleet scale.Open full answer →
23Design the alerting rules for a GPU platform so that a page is always worth waking for. What are the mechanics?▼mediumNewCoreWeaveModal4 replies◆ premiumFour mechanics do most of the work: symptom-based rules rather than cause-based, burn rate rather than thresholds, deduplication so one event is one page, and suppression during known windows. The arithmetic for each, and the rule that keeps the set from growing forever.Open full answer →
21Given per-rank heartbeats from a training job, detect which rank has stopped and when. What produces false positives?▼mediumNewMetaAnthropic4 replies◆ premiumA few lines of comparison, and every difficulty is in the threshold and the clock. Why the collector's receive time rather than the sender's, the boundary case that decides whether an exactly-late rank is reported, and the arithmetic that turns a false-positive rate into a threshold.Open full answer →