Monitor data model

Monitor data model

Monitors use a custom definition in YAML format. When adding or editing a monitor in the Chronosphere app, you can click the Code Config tool to view code representations of a monitor for Terraform, Chronoctl, and the Chronosphere API.

Whichever method you use to create a monitor, the monitor structure uses the following data model.


A collection is an organization of resources associated with a team. All monitors must belong to exactly one collection.

Each team can own many collections, which are a group of resources like monitors and dashboards. The identified team owns the systems that the associated dashboards and monitors track. Each collection can have either a default notification policy for all monitors, or you can set notification policies explicitly for each monitor. These policies apply a function to time series data that determines whether an alert triggers.

Notification policy flow


A unique descriptive name for the monitor. You can change a monitor's name.


A unique identifier that you can't change after creating the monitor. When you create a monitor with the Chronosphere app, it generates a slug for you. Slugs have a maximum length of 254 alphanumeric characters.

Notification policy

This policy determines which notification policy to use at a particular alert severity.

You define the policies in a collection. When you create a collection with Chronoctl or Terraform, you can reference a notification policy in any collection.


Labels are user-defined key-value pairs associated with a monitor. Used for identification, categorization, and routing of an alerting time series to specific notifiers by using notification policies. Labels don't affect monitor performance.


Notifiers can reference monitor labels by using the {{ .CommonLabels.<LABEL> }} variable, replacing <LABEL> with the monitor label name.


A Prometheus or Graphite query, and a check interval of 15, 30, or 60 seconds that defines how often to check the latest data against configured conditions.


Signals are an optional group of notifications that use a unique combination of labels. When you create a monitor and enable the signals option for notifications, you can add the labels from the monitor's time series to the group.

The following query parameters are available for signals:

group_waitNo10 seconds
group_intervalNo5 minutes
repeat_intervalYes1 hour


Checks run against every time series resulting from the query. You define a condition and sustain period (duration of time) and can assign the resulting alert a severity (warning or critical). If a time series triggers that condition for the sustain period, Chronosphere generates an alert.

Evaluating a sustain period of greater than 0 seconds requires at least two checks, defined in the query check interval, before triggering an alert. For example, if the sustain is five seconds, but the check interval is 30 seconds, the alert isn't triggered for at least 30 seconds, the time it takes for two checks to occur. A sustain period of zero seconds causes the alert to trigger after only one check, but might lead to noisy alerts.

Condition overrides

Defines overrides for specific conditions regarding the selected monitor. Use the EXACT_MATCHER_TYPE matcher to override exact key/value pairs, or the REGEXP_MATCHER_TYPE matcher to match with regular expressions. These are the only supported matcher types for condition overrides.

Resolve window

When you have an alert that's repeatedly resolving and continuing to trigger, define a resolve window. Within the resolve window, Chronosphere suppresses additional triggers for the same alert until the alert hasn't fired for the defined duration.

  • Alerts configured with the sustain field trigger if the PromQL expression for the alert returns a populated value for the defined duration.
  • A triggered alert with a defined resolve window resolves after the PromQL expression returns an empty value for the defined duration.

Use resolve windows with conditions or condition overrides. The resolve window defaults to 0s. How you define the resolve window differs depending on how you create the monitor:

  • Terraform: define the resolve window with the resolve_sustain field in the series_conditions object.
  • Chronoctl or the Chronosphere CreateMonitor API (opens in a new tab): define the resolve window with the resolve_sustain_secs field in the series_conditions object.
  • Chronosphere app: in the Conditions pane, define the resolve window with the Resolve when clear for field.

The duration defined in the resolve window definition behaves like the Prometheus keep_firing_for (opens in a new tab) field.

Changing a monitor's configuration might result in resolve windows not being respected. This behavior can cause an alert to be triggered again, which would enter a new resolve window.


By default, Chronosphere monitors are constantly active. You can optionally limit a monitor's activity to specific time ranges within a weekly schedule.

A schedule defines weekly time ranges when Chronosphere runs the monitor's queries and evaluates its conditions, and the monitor runs only during the specified time ranges.

You can define monitor schedules only with Chronoctl or Terraform.


Avoid ending a schedule's time range at 23:59. Using this value can inadvertently stop a monitor from executing during the last minute of the day. To run the monitor through the end of the day, use 24:00. To span days, end the first day at 24:00 and begin the next day at 00:00.


Annotations are notes you can add to a monitor, such as runbooks, links to related dashboards, data links to related traces, and documentation links. Annotations can assist on-call engineers in troubleshooting by providing links to related resources, or to display a summary that encapsulates the meaning of the overall query without having to scan the entire Series Legend.

Annotations text is validated against the same regular expression as Prometheus metric names and labels (opens in a new tab).

Annotations can contain ASCII letters and digits, underscores, and colons, and match the regular expression:


For example, you can create a summary for a monitor that uses labels from the monitor query. Consider the following monitor query that matches on labels for kube_pod_status:


You can create an annotation that uses variables to substitute values from this monitor query. For example:

Cluster: {{$labels.cluster}} | Namespace: {{$labels.namespace}} | Pod: {{$labels.pod}} is stale after 10m

When you save your monitor, the annotation replaces variables with values from the monitor query and renders as:

  Cluster: staging | Namespace: test | Pod: staging-37s799fcsj-ekg12 is stale after 10m

You can also create annotations for monitors that link to trace metrics, which lets you provide direct links for your on-call engineers to help diagnose issues. For more information, refer to linking to tracing data.


Notifiers can reference monitor annotations by using the {{ .CommonAnnotations.<ANNOTATION> }} variable, replacing <ANNOTATION> with the monitor annotation name. Building on the previous example, you can create a Slack notifier that references the summary annotation:

api_version: v1/config
kind: Notifier
  name: slack-summary-notifier
  slug: slack-notifier
    text: "Summary: {{ .CommonAnnotations.summary }}"