AI-Powered Azure VM Performance Auditor
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Automate the analysis of your Azure Virtual Machine performance with an intelligent AI agent. Get historical timelines of VM state changes, CPU, network, and disk activity.
About This Workflow
This n8n workflow leverages AI to provide deep insights into your Azure Virtual Machine performance. Connect your Azure subscription and allow an intelligent agent to query historical data for your VMs. The agent analyzes state changes, CPU utilization, network traffic, and disk I/O to generate comprehensive timeline reports for each VM. This empowers you to quickly identify performance bottlenecks, troubleshoot issues, and understand the operational history of your critical infrastructure without manual intervention. By integrating with Azure Monitor and leveraging powerful AI models like Google Gemini, this solution offers a proactive approach to managing your cloud resources.
Key Features
- Automated Performance Analysis: AI agent automatically queries Azure Monitor for key VM metrics.
- Historical Timeline Reports: Generates detailed reports of VM state changes and resource utilization over time.
- Azure Resource Discovery: Easily retrieves lists of resource groups and VM information within your subscription.
- Customizable Timeframes: Specify desired time ranges for performance data retrieval.
- Intelligent Data Interpretation: AI analyzes complex metrics to provide actionable insights.
How To Use
- Connect Azure Credentials: In the 'Set Common Variables' node, replace
<your azure subscription id here>with your actual Azure Subscription ID. Ensure you have configured 'Microsoft Azure Monitor' credentials for authentication. - Configure AI Model: Connect to your Google Gemini API account in the 'Google Gemini Chat Model' node.
- Define System Message: Customize the 'systemMessage' in the 'AI Agent' node to tailor the AI's behavior and reporting style. The default message is optimized for Azure VM performance auditing.
- Trigger Workflow: The 'When chat message received' node acts as your trigger. You can send a chat message containing your request, for example, asking for the performance timeline of a specific VM or resource group.
- Configure VM Performance Tool: In the 'Get VM Performance Stats' node, ensure you correctly map
azure_resource_group_name,vm_name,from_time,to_time, andintervalbased on the AI agent's understanding of your request. - Utilize Resource Group Tool: The 'Get Azure Resource Groups' node can be used by the AI to discover resource groups within your subscription if needed.
Apps Used
Workflow JSON
{
"id": "2d68d1e0-63e8-4cf7-b0af-fccd05a0b630",
"name": "AI-Powered Azure VM Performance Auditor",
"nodes": 5,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 2d68d1e0-63e8...
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