What is forecasting?
LogicMonitor’s forecasting functionality allows you to predict future trends for your monitored infrastructure based on past performance.
Why should I use forecasting?
LogicMonitor’s forecasting functionality is an additional tool for issue diagnosis and budget planning.
Standalone alerts can notify you of specific changes in metrics, but forecasting gives you the ability to predict how that metric will behave in the future. This is useful in identifying if the alert was an anomaly, requires immediate attention, or will require attention in the next month or two. For example, if you received a warning alert regarding disk usage at 85% you may want to know how much time you have until the disk will hit your critical threshold of 95%. Is this a rapid jump and your trajectory is one to two days, or do you have a few weeks?
You can also use forecasting to help you plan your budget and and manage your resources based on the predicted health and performance of your monitored devices. You might find that the ability to forecast data is useful for infrastructure components that have a lifetime associated with them (e.g. solid state drives) or that have a capacity associated with them (e.g. disk usage, WAN utilization), for predicting the time and magnitude of recurring events, for estimating your revenue and expenses, or just for looking at trends for the metrics that you are keeping a close eye on.
How is forecasted data calculated?
First, anomalies and missing data are identified and accounted for in the collected data you choose for forecasting. Then LogicMonitor will use a capacity trending algorithm to find a model of best-fit for the collected data and calculate future data based on these model parameters.