One post tagged with "cost-optimization"

Reactive autoscaling has a fundamental problem: it waits for something to go wrong. Your database hits 95% CPU, the autoscaler wakes up, requests a resize, and for the next few minutes your application eats latency while the new resources come online. If your traffic is predictable (and most production traffic is), this delay is avoidable.

FoundryDB's predictive autoscaling engine learns your workload's seasonal patterns and scales your database before demand spikes arrive. It combines real-time metric thresholds with historical baselines, anomaly detection, and configurable cost limits so you stay fast without overspending.