monitor.check() function

monitor.check() checks input data and assigns a level (ok, info, warn, or crit) to each row based on predicate functions.

monitor.check() stores statuses in the _level column and writes results to the statuses measurement in the _monitoring bucket.

Function type signature
    <-tables: stream[J],
    data: {A with tags: E, _type: D, _check_name: C, _check_id: B},
    messageFn: (
        r: {
            F with
            _type: D,
            _time: H,
            _time: time,
            _source_timestamp: int,
            _source_measurement: G,
            _measurement: G,
            _measurement: string,
            _level: string,
            _check_name: C,
            _check_id: B,
    ) => I,
    ?crit: (r: {F with _time: H, _measurement: G}) => bool,
    ?info: (r: {F with _time: H, _measurement: G}) => bool,
    ?ok: (r: {F with _time: H, _measurement: G}) => bool,
    ?warn: (r: {F with _time: H, _measurement: G}) => bool,
) => stream[{
    F with
    _type: D,
    _time: H,
    _time: time,
    _source_timestamp: int,
    _source_measurement: G,
    _message: I,
    _measurement: G,
    _measurement: string,
    _level: string,
    _check_name: C,
    _check_id: B,
}] where E: Record, J: Record
For more information, see Function type signatures.



Predicate function that determines crit status. Default is (r) => false.


Predicate function that determines warn status. Default is (r) => false.


Predicate function that determines info status. Default is (r) => false.


Predicate function that determines ok status. Default is (r) => true.


(Required) Predicate function that constructs a message to append to each row.

The message is stored in the _message column.


(Required) Check data to append to output used to identify this check.

This data specifies which notification rule and notification endpoint to associate with the sent notification. The data record must contain the following properties:

  • _check_id: check ID (string)
  • _check_name: check name (string)
  • _type: check type (threshold, deadman, or custom) (string)
  • tags: Custom tags to append to output rows (record) The InfluxDB monitoring and alerting system uses monitor.check() to check statuses and automatically assigns these values. If writing a custom check task, we recommend using unique arbitrary values for data record properties.


Input data. Default is piped-forward data (<-).


Monitor InfluxDB disk usage collected by Telegraf

import "influxdata/influxdb/monitor"

from(bucket: "telegraf")
    |> range(start: -1h)
    |> filter(fn: (r) => r._measurement == "disk" and r._field == "used_percent")
    |> monitor.check(
        crit: (r) => r._value > 90.0,
        warn: (r) => r._value > 80.0,
        info: (r) => r._value > 70.0,
        ok: (r) => r._value <= 60.0,
        messageFn: (r) =>
            if r._level == "crit" then
                "Critical alert!! Disk usage is at ${r._value}%!"
            else if r._level == "warn" then
                "Warning! Disk usage is at ${r._value}%."
            else if r._level == "info" then
                "Disk usage is at ${r._value}%."
                "Things are looking good.",
        data: {
            _check_name: "Disk Utilization (Used Percentage)",
            _check_id: "disk_used_percent",
            _type: "threshold",
            tags: {},

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