Timeseries :: Kloudfuse Docs

Timeseries

The Timeseries panel displays metrics over time. Use it to monitor trends, detect anomalies, and compare multiple series in a single view.

Add a Timeseries Panel

  1. Open the dashboard where you want the panel.
  2. Click Add Panel.
  3. In Choose Visualization, select Timeseries.
  4. In Graph your data, click Select a metric build your query.
  5. Enter a descriptive Title.
  6. Click Save to add the panel.

Build queries (Graph your data)

The query builder controls which metrics appear and how they are aggregated.

  1. Click Add Query to create one query. Repeat to add more.
  2. Click Select a metric to choose a metric name.
  3. Use From to pick the metric source or namespace.
  4. Click Add Label to filter on label values, (for example, pod=web, env=prod).
  5. Select an Aggregation (for example, min, max, sum, avg) to reduce raw samples to a single value per time interval.
  6. Use the Select dropdown (if available) to set the aggregation interval, (for example, 1m, 5m).
  7. Click Add Functions to transform your data:

Examples: rate(), derivative(), moving_avg(), scale().
Query order determines formula identifiers: first query = a, second = b.
Assign aliases to make formulas more readable.

Apply functions

Functions modify your time series after aggregation:
Complex function chains can slow panel rendering.
Test performance with your expected time range before saving.

Add formulas

Formulas calculate new series from existing queries.

  1. Click Add Formula.
  2. Reference queries by letter (a, b, etc.) or alias.
  3. Enter the expression and click Apply.

Example — double a series:

2*a

Example — scale b by 100 and add to a:

a + 100*b
- Use parentheses to control precedence: 2*(a + b) vs. 2*a + b.

- Formulas align or interpolate time points if queries have different intervals.

- Add a Label so the formula appears clearly in the legend.

Customize appearance

In the Settings tab, you can:

Best practices