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stack kb alerting-v2 put-alerting-v2-rules-id cli command

Serverless Preview

Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud.

Availability

  • Preview

    This functionality is in technical preview and is ready for evaluation. Use with caution in production; it is not recommended for mission-critical workloads. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features. Specific Support terms apply.

Serverless interfaces and procedures might differ from classic Elastic Stack deployments.

Stack Preview

The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats.

Availability

  • Preview

    This functionality is in technical preview and is ready for evaluation. Use with caution in production; it is not recommended for mission-critical workloads. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features. Specific Support terms apply.

Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

Auth required Idempotent Scope: global
Shell
elastic stack kb alerting-v2 put-alerting-v2-rules-id \
  --id <id> \
  --kind <kind> \
  --metadata <metadata> \
  --query <query> \
  --schedule <schedule> \
  [options]

Create or replace a rule

Behaviour flags:

--dry-run — validate all inputs and exit without performing any action

--id string required
The identifier for the rule. Chosen at creation and permanent — it cannot be changed afterwards. Re-using the id of a deleted resource is allowed but discouraged: execution history, change history, and alert episodes recorded under that id are retained and are attributed to the new resource. Ids appear in URLs and logs, so keep them free of sensitive data.
--kind string required
Whether the rule creates alerts (alert) or only stores matching events (signal).
--metadata string required
--query string required
--schedule string required
--artifacts string[]

Optional objects attached to the rule, such as a runbook or a dashboard. Each item has id, type, and data. The shape of data depends on type. For example, a runbook uses content and a dashboard uses dashboard_id. Known types are validated against that shape. Unknown types are stored when id, type, and data are present.

Repeatable: pass --artifacts multiple times to supply more than one value

--grouping string
--no-data string
--recovery string
--state-transition string
--time-field string
Document field Kibana uses with schedule.lookback to time-filter query.base.
--input-file string
path to a JSON file to use as command input
--dry-run
validate all inputs and exit without performing any action (preview changes without applying them)
--no-validate
skip input validation and send the request as-is
--output-fields string
comma-separated list of fields to include in output (dot-notation supported)
--output-template string
Mustache-like template for custom text output (e.g. "{{id}}: {{name}}")
--json

output as JSON