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Canvas can automatically investigate trigger alerts, Service Level Objective (SLO) burn alerts, and anomaly detections when they fire, so your team has findings waiting before they start troubleshooting.

How it works

When a configured alert fires, Canvas automatically starts an investigation and analyzes the data to identify what changed and why.

Finding your investigations

Auto-investigations appear in Canvas alongside your other investigations, and work the same way: you can continue the investigation interactively, share it with your team, or use it as a starting point for further analysis. To explore all auto-investigations, select Canvas () from the navigation menu and filter by Auto Investigations.

Accessing investigations from alerts

When an auto-investigation completes, the alert notification includes an Investigate link so your team can jump straight into the findings in Canvas without having to start an investigation manually.

Investigations in Slack

If you have the Honeycomb Canvas Slack App installed and the alert is configured to send notifications to a Slack channel, Canvas also joins the alert thread in Slack with AI-powered insights directly in chat.

Limits

You can configure automatic investigations for up to:
  • 25 triggers
  • 25 SLO burn alerts
  • 25 anomaly detections

Requirements

Auto-investigations require that you enable Honeycomb Intelligence for your team.

Configuring auto-investigations

Auto-investigations are configured individually on each trigger, SLO, and anomaly detection, not globally. Enable them on the specific resources where you want Canvas to investigate automatically when an alert fires.

Triggers

Enabling auto-investigations on a trigger means Canvas starts investigating the moment that trigger fires, giving your on-call team immediate context alongside the alert. To enable Canvas to start automatic investigations for a trigger:
  1. Select Triggers () from the navigation menu.
  2. Select the name of the trigger you want to configure, or select New Trigger to create a new one.
  3. Locate the Alerts section.
  4. Enable the Automatic Investigation toggle.
  5. Select Save Trigger to save changes.
If the trigger is configured to send alerts to a Slack channel and you have installed the Honeycomb Canvas Slack App, Canvas joins the alert thread and provides AI-powered insights directly in Slack.

Service Level Objectives (SLOs)

Enabling auto-investigations on an SLO burn alert means Canvas investigates when budget consumption exceeds your threshold, so your team understands what’s driving the burn before they start troubleshooting. To enable Canvas to start automatic investigations for an SLO:
  1. Select SLOs () from the navigation menu.
  2. Select the name of the SLO you want to configure, or select New SLO to create a new one.
  3. Select Configure Burn Alerts.
  4. Select Edit for an existing burn alert, or select New Burn Alert to create a new one.
  5. Enable the Automatic Investigation toggle.
  6. Select Update Burn Alert to save changes.
If the SLO is configured to send alerts to a Slack channel and you have installed the Honeycomb Canvas Slack App, Canvas joins the alert thread and provides AI-powered insights directly in Slack.
Example of enabling automatic investigation for an SLO burn alert.

Anomaly detections

Auto-investigate for anomaly detections is only available to teams invited to its Early Access.
Enabling auto-investigations on an anomaly means Canvas starts investigating as soon as that anomaly is detected, so your team has findings waiting before they even open Honeycomb. To enable Canvas to start automatic investigations for an anomaly:
  1. Select Anomalies () from the navigation menu.
  2. Select the name of the anomaly you want to configure.
  3. Locate the Anomalies section.
  4. Enable the Auto-investigate toggle.
If the anomaly is configured to send alerts to a Slack channel and you have the Honeycomb Canvas Slack App installed, Canvas joins the alert thread and provides AI-powered insights directly in Slack.
Example of enabling automatic investigation for anomaly detection.