lm-capacity

Capacity forecasting predicts threshold breaches by analyzing resource utilization trends and seasonality in LogicMonitor. It scopes analysis to specific devices and datapoints, estimating the exact date critical limits will be reached.

Seasonality detection identifies recurring periodic patterns in resource utilization data. By analyzing these trends alongside change points, it distinguishes normal cyclical behavior from anomalous usage spikes in monitored devices.

You can analyze CPU and memory usage by scoping the capacity planning analysis to a specific device name. The process retrieves metrics from targeted datasources and datapoints to classify utilization as increasing, decreasing, or stable.

Yes, capacity planning can be scoped to specific datasources and datapoints. This targeted metric retrieval ensures the trend classification and breach forecasting focus only on the critical resources you specify.

Yes, capacity planning detects abrupt changes through change point analysis. This mechanism identifies sudden shifts in resource utilization, helping distinguish anomalies from standard increasing or decreasing trends.

The best way to predict resource shortages is analyzing current utilization trends and detecting seasonality to forecast future breaches. This provides actionable recommendations and an estimated timeline for when limits will be reached.