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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.