Documentation

Trigger alerts by comparing two measurements

Kapacitor allows you to create alerts based on two or more measurements. In this guide, we are going to compare two measurements, m1 and m2, and create an alert whenever the two measurements are different. As an added bonus, we’ll also include a query that can be used to graph the percentage difference between the two measurements.

Comparing measurements and creating an alert

The following TICKscript streams the m1 and m2 measurements, joins them, compares them, and triggers an alert if the two measurements are different.

var window_size = 1m

// Stream m1
var m1 = stream
  |from()
    .measurement('m1')
  |window()
    .period(window_size)
    .every(window_size)
    .align()
  |count('value')
    .as('value')

// Stream m2
var m2 = stream
  |from()
    .measurement('m2')
  |window()
    .period(window_size)
    .every(window_size)
    .align()
  |count('value')
    .as('value')

// Join m1 and m2
var data = m1
    |join(m2)
        .as('m1', 'm2')

// Compare the joined stream and alert when m1 and m2 values are different
data
  |alert()
    .crit(lambda: "m1.value" != "m2.value")
    .message('values were not equal m1 value is {{ index .Fields "m1.value" }} m2 value is {{ index .Fields "m2.value" }}')

Graphing the percentage difference between the measurements

Use the data stream defined in the TICKscript above to calculate the difference between m1 and m2, transform it into a float, divide that difference by the actual values of m1 and m2, then multiply them by 100. This will give you the percentage difference for each. Store the difference as new fields in the diffs measurement:

data
  // Calculate the difference between m1 and m2
  |eval(lambda: "m1.value" - "m2.value")
    .as('value_diff')
    .keep()
  // Calculate the % difference of m1 and m2
  |eval(lambda: (float("value_diff") / float("m1.value")) * 100.0, lambda: (float("value_diff") / float("m2.value")) * 100.0)
    .as('diff_percentage_m1', 'diff_percentage_m2')
  // Store the calculated differences in the 'diffs' measurement
  |influxDBOut()
    .measurement('diffs')
    .database('mydb')
    .create()

This can be used to create visualizations similar to:

Graph the percentage difference between two measurements

The full TICKscript

Below is the entire, uncommented TICKscript:

var window_size = 1m

var m1 = stream
  |from()
    .measurement('m1')
  |window()
    .period(window_size)
    .every(window_size)
    .align()
  |count('value')
    .as('value')

var m2 = stream
  |from()
    .measurement('m2')
  |window()
    .period(window_size)
    .every(window_size)
    .align()
  |count('value')
    .as('value')

var data = m1
  |join(m2)
    .as('m1', 'm2')

data
  |alert()
    .crit(lambda: "m1.value" != "m2.value")
    .message('values were not equal m1 value is {{ index .Fields "m1.value" }} m2 value is {{ index .Fields "m2.value" }}')

data
  |eval(lambda: "m1.value" - "m2.value")
    .as('value_diff')
    .keep()
  |eval(lambda: (float("value_diff") / float("m1.value")) * 100.0, lambda: (float("value_diff") / float("m2.value")) * 100.0)
    .as('diff_percentage_m1', 'diff_percentage_m2')
  |influxDBOut()
    .measurement('diffs')
    .database('mydb')
    .create()

Was this page helpful?

Thank you for your feedback!


InfluxDB 3.9: Performance upgrade preview

InfluxDB 3 Enterprise 3.9 includes a beta of major performance upgrades with faster single-series queries, wide-and-sparse table support, and more.

InfluxDB 3 Enterprise 3.9 includes a beta of major performance and feature updates.

Key improvements:

  • Faster single-series queries
  • Consistent resource usage
  • Wide-and-sparse table support
  • Automatic distinct value caches for reduced latency with metadata queries

Preview features are subject to breaking changes.

For more information, see:

Telegraf Enterprise now in public beta

Get early access to the Telegraf Controller and provide feedback to help shape the future of Telegraf Enterprise.

See the Blog Post

The upcoming Telegraf Enterprise offering is for organizations running Telegraf at scale and is comprised of two key components:

  • Telegraf Controller: A control plane (UI + API) that centralizes Telegraf configuration management and agent health visibility.
  • Telegraf Enterprise Support: Official support for Telegraf Controller and Telegraf plugins.

Join the Telegraf Enterprise beta to get early access to the Telegraf Controller and provide feedback to help shape the future of Telegraf Enterprise.

For more information:

Telegraf Controller v0.0.6-beta now available

Telegraf Controller v0.0.6-beta is now available with new features, improvements, and bug fixes.

View the release notes
Download Telegraf Controller v0.0.6-beta

InfluxDB Docker latest tag changing to InfluxDB 3 Core

On May 27, 2026, the latest tag for InfluxDB Docker images will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments.

If using Docker to install and run InfluxDB, the latest tag will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments. For example, if using Docker to run InfluxDB v2, replace the latest version tag with a specific version tag in your Docker pull command–for example:

docker pull influxdb:2