Monitor Azure AI Services

Monitor and track the performance, usage, and status of your Azure AI services in real-time with detailed metrics and insights.

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Om dette verktøyet

This tool provides comprehensive monitoring for Azure AI services including Azure OpenAI, Cognitive Services (Vision, Speech, Language), and Machine Learning. Connect to your Azure subscription to view real-time metrics such as request counts, latency, errors, and resource utilization. Track service health, usage patterns, and performance trends to optimize your AI deployments and ensure reliability.

Hvordan bruke

  1. Enter your Azure credentials (Client ID, Client Secret, Tenant ID) and Subscription ID.
  2. Select the resource group containing your AI services.
  3. Choose which AI services to monitor (OpenAI, Cognitive Services, Machine Learning).
  4. Click 'Monitor Services' to fetch real-time metrics and status.
  5. View detailed results including service health, request statistics, and performance data.
How to use monitor azure ai services

Frequently Asked Questions

Finn raske svar

What Azure permissions are required to use this tool?
You need an Azure service principal with Reader role on the subscription or resource group containing your AI services. The tool requires Client ID, Client Secret, and Tenant ID for authentication.
Which Azure AI services are supported?
The tool monitors Azure OpenAI services, Cognitive Services (Computer Vision, Speech, Language, etc.), and Azure Machine Learning workspaces. It fetches metrics like request counts, latency, and errors from Azure Monitor.
Is my Azure credential data stored or logged?
No, all credentials are processed securely in memory during the monitoring session and are not stored or logged. The tool only uses them to authenticate with Azure API temporarily.
How frequently are metrics updated?
Metrics are fetched in real-time when you click 'Monitor Services'. The tool retrieves the latest available data from Azure Monitor, typically with a few minutes latency depending on Azure's metric aggregation.

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