MongoDB Predictive Auto-Scaling: An Experiment

Summary

You can often predict a load spike before it arrives. Maybe it happens at the same time every day, or there’s always a spike at midnight on a Friday when you run a certain batch job. Or maybe it’s not cyclical, but load is rising steadily, and it’s a reasonable guess that it will keep rising for a while. MongoDB Atlas’s reactive auto-scaler handles these spikes, but scaling to the right size takes several minutes. What if MongoDB Atlas could use these temporal patterns—cycles and trends—to scale

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