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Event Analytics & Prediction • Room 3
Predictive Analytics & MLTK
ITSI integrates with the Machine Learning Toolkit (MLTK) to provide predictive KPIs. Instead of only alerting when a threshold is breached, predictive analytics can forecast when a KPI will breach its threshold in the future — for example, predicting that disk usage will hit 100% in 48 hours.
Predictive KPIs use algorithms like linear regression, exponential smoothing, and ARIMA to model KPI trends. This shifts operations from reactive (alert after failure) to proactive (alert before failure). Capacity planning dashboards use these forecasts to recommend infrastructure scaling decisions.
Start with linear regression for simple trending KPIs (like disk growth). Graduate to ARIMA for seasonal KPIs (like transaction volume) that have weekly patterns.
Knowledge Check
Prove your understanding to clear the room (Rewards XP)
Drag items to their correct zone (or tap item then tap zone on mobile)
Disk usage grows steadily at 2% per day
Transaction volume has daily and weekly seasonal cycles
CPU usage spikes unpredictably during batch jobs
Linear Regression
ARIMA / Seasonal Model
Anomaly Detection