What visualization technique in Datadog allows for correlation of multiple metrics?

The time series graphs in Datadog are particularly effective for correlating multiple metrics over a specified timeframe. This visualization technique allows users to plot different metrics on the same graph, making it easy to identify patterns, trends, or anomalies across them.

By using time series graphs, users can overlay multiple lines representing different metrics, which enables direct visual comparison. This is especially useful for monitoring applications and infrastructure performance, as it allows teams to correlate changes in one metric with changes in another, facilitating better insights and faster troubleshooting.

The other visualization techniques have their own specific use cases but do not offer the same level of correlation across multiple metrics as time series graphs do. Bar charts are great for comparing quantities but are limited to a single point in time per category. Pie charts are effective for showing proportions but do not lend themselves to tracking changes over time. Heat maps display data intensity across two variables but do not provide a direct method for correlating multiple time-based metrics.