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AI Insights continuously monitors your clusters and surfaces issues with root cause analysis, remediation steps, and platform-aware actions before they become incidents.

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What are AI Insights?

AI Insights are proactively generated health findings for your Kubernetes clusters. Ankra’s AI scans clusters on a schedule, detects anomalies, and produces structured insights with:
  • Root cause analysis what went wrong and why
  • Remediation commands copy-pasteable kubectl commands
  • Platform actions fixes through the Ankra platform (stack changes, add-on configuration, resource navigation)
  • Conversation starters pre-built prompts to continue investigating with the AI Assistant
AI Insights differ from AI Incidents in that they are generated proactively by scheduled scans rather than triggered by alert rules.

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Enabling AI Insights

AI Insights are controlled at the organisation level.
1

Navigate to Organisation Settings

Click your profile icon → Organisation → Settings → General.
2

Enable Proactive AI Insights

Toggle Proactive AI Insights on in the AI Features section.
When disabled, AI analysis still works on-demand via the AI Assistant (⌘+J), but automatic proactive insights are not generated.

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Viewing AI Insights

Navigate to any cluster and click AI Insights in the sidebar. The page has three tabs:

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Insights Tab

The main list of all insights for the cluster with filtering, search, and multiple view modes. View Modes: Filtering: Sorting: Recent, severity, oldest, or recurrence count.

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Dashboard Tab

At-a-glance summary of your cluster’s insight health:
  • Severity donut chart distribution of open insights by severity
  • Trend chart daily new vs resolved insights over time
  • Category breakdown clickable chart that filters the insights list
  • Status counts open, acknowledged, and resolved totals

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Analytics Tab

Deeper analytics with configurable time ranges (7, 30, or 90 days):

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Insight Detail Page

Click any insight to open its detail page. The detail page has four tabs:

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Overview

  • Severity and confidence score how severe the issue is and how confident the AI is in its diagnosis
  • Root cause analysis detailed explanation of the underlying issue
  • Root cause summary short summary shown inline on cards
  • Affected resources list of impacted Kubernetes resources with direct links to their resource pages
  • Conversation starters click any starter to open the AI Assistant with the insight context loaded

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Remediation

  • Remediation commands copy-pasteable kubectl commands to fix the issue
  • Platform actions fixes you can apply through the Ankra platform:

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Health

  • Health snapshot cluster health score, pod stats, and node stats captured at the time the insight was detected
  • Anomaly snapshot the specific anomalies (up to 15) that triggered the insight

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History

  • Previous resolutions if this issue has recurred, shows each past resolution with: When it was resolved Resolution type and notes Effectiveness (whether the fix held or the issue came back)
  • Resolution context additional metadata about how the issue was fixed
  • Health at resolution the cluster health state when the issue was last resolved
On the detail page, a Related Insights section shows other open insights that share the same namespace or category. This helps you spot patterns for example, multiple issues in the same namespace may point to a common root cause.

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Managing Insights

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Status Lifecycle

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Resolving an Insight

When resolving an insight, you can provide:
  • Resolution notes free-text description of what you did
  • Resolution type how the issue was resolved (manual fix, configuration change, etc.)
  • Resolution context additional metadata captured automatically
Ankra also captures a health snapshot at resolution time so you can compare the cluster state before and after the fix.

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Bulk Actions

Select multiple insights and apply bulk status updates (acknowledge, resolve, dismiss) in one action.

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Feedback

After reviewing an insight, provide feedback:
  • Helpful the analysis was accurate and useful. This indexes the insight’s root cause analysis and recommendations into the RAG knowledge base, improving future AI analysis quality.
  • Not helpful the analysis was inaccurate or not useful. This helps the AI learn and improve.

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Adaptive Scanning

The maintenance scheduler adapts scan frequency based on cluster health: This ensures critical problems get rapid attention while healthy clusters don’t waste resources on frequent scans.

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Keyboard Shortcuts

Navigate and manage insights entirely from the keyboard:
Keyboard shortcuts are disabled when the command palette, a dialog, or an input field is focused.

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API

AI Insights are available via the REST API: Query Parameters for listing: Digest Parameters: API Reference →

AI Incidents

Alert-triggered AI analysis with root cause and recommendations.

AI Assistant

Interactive AI chat with 58 tools for cluster management.

Alerts

Configure alert rules that generate AI incidents.

Organisation Settings

Enable or disable Proactive AI Insights.