Trends transforms raw metrics and incident data into multi-chart visualizations that reveal seasonal patterns, emerging regressions, and long-term shifts. Overlay incident frequency against deployment cadence, compare error rates across quarters, and let AI surface the trends your team would otherwise miss.
Trends gives you a composable canvas where you can stack line charts, bar charts, scatter plots, and heat maps in any arrangement. Overlay incident count against deploy frequency. Compare P99 latency across three services on the same time axis. Every chart is interactive, click any data point to drill into the underlying events.
Trends uses machine learning to project metrics forward based on historical patterns. If your error rate has been climbing 2% per week for the past month, Trends draws the projection line and alerts you when it will breach your SLO. Capacity planning, budget forecasting, and regression detection all become proactive instead of reactive.
Trends automatically detects daily, weekly, and monthly seasonality in your data. Monday morning traffic spikes and Friday deployment lulls are learned and factored out, so when a real anomaly occurs, it stands out clearly against the seasonal baseline. No more false alarms from predictable patterns.
Trends gives your team forecasting, seasonal analysis, and multi-chart visualization to catch problems before they escalate.