Documentation

InfluxDB system buckets

InfluxDB system buckets contain time series data used by and generated from the InfluxDB monitoring and alerting system and the task engine.

Each InfluxDB organization includes the following system buckets:

The system bucket schemas below reference InfluxDB data elements. For more information, see InfluxDB key concepts.

_monitoring system bucket

The _monitoring system bucket stores InfluxDB data used to monitor data and send alerts.

Data retention: 7 days

_monitoring bucket schema

  • statuses (measurement)

    • tags:
      • _check_id: check ID
      • _check_name: check name
      • _level: level evaluated by the check (ok, info, warn, or crit)
      • _source_measurement: original measurement queried by the check
      • _type: check type (threshold or deadman)
      • other tags inherited from queried data or added in the check configuration
    • fields:
      • _message: message generated by the check
      • _source_timestamp: original timestamp of the queried data
      • other fields inherited from queried data
  • notifications (measurement)

    • tags:
      • _check_id: check ID that triggered the notification
      • _check_name: check name that triggered the notification
      • _level: check-evaluated level that triggered the notification (ok, info, warn, or crit)
      • _notification_endpoint_id: notification endpoint ID
      • _notification_endpoint_name: notification endpoint name
      • _notification_rule_id: notification rule ID
      • _notification_rule_name: notification rule name
      • _sent: sent status (true or false)
      • _source_measurement: original measurement queried by the check
      • _type: check type (threshold or deadman)
      • other tags inherited from queried data or added in the check configuration
    • fields:
      • _message: message generated by the check
      • _source_timestamp: original timestamp of the queried data
      • _status_timestamp: timestamp when the status (_level) was evaluated
      • other fields inherited from queried data

_tasks system bucket

The _tasks system bucket stores data related to InfluxDB task executions.

Data retention: 3 days

_tasks bucket schema

A task run refers to a single task execution.

  • runs (measurement)
    • tags:
      • status: task run status (success or failed)
      • taskID: task ID
    • fields:
      • finishedAt: timestamp when the task run finished
      • logs: log output from the task run
      • requestedAt: timestamp when the task run was requested
      • runID task run ID
      • scheduledFor: timestamp the task run was scheduled for
      • startedAt: timestamp when the task run started

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Linux Package Signing Key Rotation

All signed InfluxData Linux packages have been resigned with an updated key. If using Linux, you may need to update your package configuration to continue to download and verify InfluxData software packages.

For more information, see the Linux Package Signing Key Rotation blog post.

InfluxDB Cloud backed by InfluxDB IOx

All InfluxDB Cloud organizations created on or after January 31, 2023 are backed by the new InfluxDB IOx storage engine. Check the right column of your InfluxDB Cloud organization homepage to see which InfluxDB storage engine you’re using.

If powered by IOx, this is the correct documentation.

If powered by TSM, see the TSM-based InfluxDB Cloud documentation.

InfluxDB Cloud backed by InfluxDB TSM

All InfluxDB Cloud organizations created on or after January 31, 2023 are backed by the new InfluxDB IOx storage engine which enables nearly unlimited series cardinality and SQL query support. Check the right column of your InfluxDB Cloud organization homepage to see which InfluxDB storage engine you’re using.

If powered by TSM, this is the correct documentation.

If powered by IOx, see the IOx-based InfluxDB Cloud documentation.

State of the InfluxDB Cloud (IOx) documentation

The new documentation for InfluxDB Cloud backed by InfluxDB IOx is a work in progress. We are adding new information and content almost daily. Thank you for your patience!

If there is specific information you’re looking for, please submit a documentation issue.