Forecast future memory consumption from historical usage trend and growth rate.
Memory growth forecasting uses exponential growth modeling (compounding monthly) to estimate when RAM utilization will exceed a planning threshold or hit physical capacity. This gives operations teams lead time to procure additional RAM, optimize workloads, or migrate to larger instances before applications start experiencing OOM kills or excessive swapping.
Months to threshold
months = log(threshold / current) / log(1 + monthly_growth_rate)
Sample peak memory usage (from free, /proc/meminfo, or monitoring tools) at consistent intervals over several months. Use the average month-over-month percentage change as the growth rate, excluding anomalous spikes from deployments or incidents.
85% utilization is a common planning threshold — it leaves enough headroom for burst workloads while providing several weeks of lead time for capacity expansion at typical growth rates.