Time Series

Time Series visualizations show how a selected metric changes over time.

Audit logs are grouped into time intervals (for example, hours, days, or months), and a metric is calculated for each interval. Depending on the selected metric, the chart can display the number of audit logs, or the average, minimum, or maximum value of a numeric field.

Examples:

• Number of executions per day

• Average order amount over time

• Average response time by day

• Maximum execution time per hour

• Error rates across days

This visualization is useful for:

• Monitoring trends over time

• Detecting spikes, drops, and anomalies

• Comparing activity across different periods

• Identifying recurring patterns or seasonality

• Evaluating the impact of deployments, configuration changes, or incidents

Visualization Limitation

When more than 10,000 audit logs match the selected filters, statistics are calculated from a sampled subset of records to maintain performance. The sample is intended to be representative but may not perfectly reflect the full dataset.

Export Limitation

Exports use the same sampled dataset as the visualization, so exported results reflect the same limitation of 10,000.