Azure VM Timeline Reports with Gemini AI Chat Assistant

This n8n workflow deploys an intelligent chat assistant using Google Gemini AI to monitor and report on Azure Virtual Machines (VMs). Triggered by user chats, the Gemini agent leverages six specialized tools to query Azure APIs: listing resource groups, fetching VM configurations and instance views, retrieving performance metrics like CPU, network, and disk I/O, and pulling activity log events. It compiles this data into comprehensive timeline reports, defaulting to the last 90 days unless customized, highlighting VM state transitions, operational events, and trends.

The workflow streamlines Azure VM oversight by automating data aggregation and analysis that would otherwise require manual API calls or dashboard navigation. Benefits include rapid insights for IT teams, reducing investigation time from hours to minutes, proactive anomaly detection, and customizable reporting for audits or stakeholder updates.

Use cases span DevOps monitoring for VM health, troubleshooting downtime causes, capacity planning via historical metrics, and compliance reporting on resource usage. Prerequisites include an n8n instance, Azure subscription with Reader permissions, and API credentials for Azure Monitor OAuth2 and Google Gemini. Setup is straightforward: import, configure credentials, set subscription ID, and test the chat webhook.