Line
A line chart shows trends over time by connecting data points. Use it for time series metrics and comparisons across multiple series.
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A line chart shows trends over time by connecting data points. Use it for time series metrics and comparisons across multiple series.
A line chart shows trends over time by connecting data points. Use it for time series metrics and comparing multiple series.


Use the Plot panel to choose axes, grouping, and display settings.

Use these options to control how the line chart renders.
X-axis
Field used for the X axis.
Use timestamp for time-based charts. Use a label field for categorical charts (for example service, pod, host).
Y-axis
Numeric field to plot.
Common choices: value, cpu_usage, latency, error_rate.
Group by
Split into multiple bar series per group.
For example pod creates one series per pod. Leave empty for a single series.
Y-axis label
Display label for the Y axis.
Cosmetic only. Example: “CPU Usage (%)”.
Y-axis scale
How values are scaled on the Y axis.
Linear for most data. Logarithmic for wide ranges.
Reference line
A horizontal threshold line.
Example: 80 for an SLA/limit line.
Legend
Show/hide legend.
Turn off for a single series or tight layouts.
Calculations
Summary overlays on the plotted data.
Min, Max, Avg, Count, Sum, P50, P90, P95, P99.
Smooth graph
Smooths the rendered curve/series.
Useful for long time ranges. Avoid for step-like data.
Custom color
Set fixed colors for series.
Helps keep colors consistent across dashboards.
Apply
Applies changes to the widget.
Changes do not render until you click Apply.
Use a line chart when you want to:
Track a metric over time (trends and seasonality)
Compare multiple time series (via Group by)
Spot spikes, drops, regressions, or slow drifts
Validate the impact of deploys or incidents across a time window
Typical use cases:
CPU / memory utilization over time
Request rate and throughput
Latency percentiles (P50/P95/P99)
Error rate and saturation signals
Avoid a line chart when:
You need a part-to-whole view (use Pie/Disk)
You need exact record-level inspection (use Table/List/Details)
You’re comparing many categories at one timestamp (use Bar)
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