azure-resource-health-diagnose
SolidAnalyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.
AI & Automation 34,887 stars
4287 forks Updated today MIT
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Quality Score: 93/100
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Skill Content
# Azure Resource Health & Issue Diagnosis
This workflow analyzes a specific Azure resource to assess its health status, diagnose potential issues using logs and telemetry data, and develop a comprehensive remediation plan for any problems discovered.
## Prerequisites
- Azure MCP server configured and authenticated
- Target Azure resource identified (name and optionally resource group/subscription)
- Resource must be deployed and running to generate logs/telemetry
- Prefer Azure MCP tools (`azmcp-*`) over direct Azure CLI when available
## Workflow Steps
### Step 1: Get Azure Best Practices
**Action**: Retrieve diagnostic and troubleshooting best practices
**Tools**: Azure MCP best practices tool
**Process**:
1. **Load Best Practices**:
- Execute Azure best practices tool to get diagnostic guidelines
- Focus on health monitoring, log analysis, and issue resolution patterns
- Use these practices to inform diagnostic approach and remediation recommendations
### Step 2: Resource Discovery & Identification
**Action**: Locate and identify the target Azure resource
**Tools**: Azure MCP tools + Azure CLI fallback
**Process**:
1. **Resource Lookup**:
- If only resource name provided: Search across subscriptions using `azmcp-subscription-list`
- Use `az resource list --name <resource-name>` to find matching resources
- If multiple matches found, prompt user to specify subscription/resource group
- Gather detailed resource information:
- Resource type and ...
Details
- Author
- github
- Repository
- github/awesome-copilot
- Created
- 1 years ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
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