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GuardedAct is proposed, a sandbox-first remediation framework that interposes a blast-radius-aware verification layer between the LLM action generator and the production environment and achieves an overall recovery rate and a modest sandbox-induced increase in mean time to recovery.
SLO-Scaler cuts SLO violation rates by up to 56% while reducing scaling events by nearly 60% through uncertainty-aware predictions and targeted scaling.
Untangling the chaotic web of microservice failures just got easier: a new model uses temporal graph neural networks to pinpoint faults by jointly learning how services evolve and interact.
