Automate Azure VM Timeline Reports with Google Gemini AI

This workflow leverages Google Gemini AI to analyze Azure virtual machine activity, generating detailed timeline reports of VM state changes, performance metrics, and operational events.

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Automate Azure VM Timeline Reports with Google Gemini AI

This workflow begins with a chat trigger that accepts user queries for Azure VM analysis. The Google Gemini AI processes these requests using multiple tools to gather comprehensive VM data from Azure APIs. It queries resource groups, retrieves VM configurations and instance views, pulls performance metrics, and collects activity log events. The AI then analyzes this data to create timeline reports, defaulting to the last 90 days unless specified otherwise. This setup requires an n8n instance, Azure subscription, and API credentials for both Azure and Google Gemini.

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Last updated September 5, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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