Internal Plugins
Overview
Azure Quick Review (azqr) includes internal plugins - specialized built-in scanners that provide advanced analytics beyond standard best practice recommendations. Unlike YAML plugins (which add custom Resource Graph queries), internal plugins perform complex data analysis, API integrations, and multi-source data correlation.
Internal plugins are disabled by default and must be explicitly enabled using command-line flags.
Available Internal Plugins
1. OpenAI Throttling
Plugin Name: openai-throttling
Command: azqr openai-throttling
Flag: --plugin openai-throttling
Version: 1.0.0
Monitors Azure OpenAI and Cognitive Services accounts for throttling (429 errors) to identify capacity constraints.
Key Features:
- Tracks 429 throttling errors by hour, model, and deployment
- Analyzes spillover configuration effectiveness
- Reports request counts by status code
- Identifies peak throttling periods
Use Cases:
- Capacity planning for OpenAI deployments
- Troubleshooting throttling issues
- Optimizing deployment spillover configuration
- Monitoring API usage patterns
Output Columns:
- Subscription, Resource Group, Account Name
- Kind (OpenAI, Cognitive Services)
- SKU and deployment details
- Model name and spillover settings
- Hourly throttling statistics (status code, request count)
Data Source: Azure Monitor Metrics API (last 24-48 hours)
2. Carbon Emissions
Plugin Name: carbon-emissions
Command: azqr carbon-emissions
Flag: --plugin carbon-emissions
Version: 1.0.0
Analyzes carbon emissions by Azure resource type to support sustainability reporting and optimization.
Key Features:
- Tracks emissions by resource type across subscriptions
- Calculates month-over-month change ratios
- Aggregates emissions from multiple subscriptions
- Supports sustainability compliance reporting
Use Cases:
- Sustainability reporting and compliance
- Identifying high-emission resource types
- Tracking carbon reduction progress
- Environmental impact analysis
Output Columns:
- Period From/To (reporting period)
- Resource Type
- Latest Month Emissions
- Previous Month Emissions
- Month-over-Month Change Ratio
- Monthly Change Value
- Unit (metric tons CO2 equivalent)
Data Source: Azure Carbon Optimization API
3. Zone Mapping
Plugin Name: zone-mapping
Command: azqr zone-mapping
Flag: --plugin zone-mapping
Version: 1.0.0
Retrieves logical-to-physical availability zone mappings for all Azure regions in each subscription.
Key Features:
- Maps logical zones (1, 2, 3) to physical zone identifiers
- Reveals subscription-specific zone mappings
- Helps ensure proper zone alignment across subscriptions
- Supports multi-subscription architecture planning
Use Cases:
- Multi-subscription architecture design
- DR planning with zone awareness
- Zone alignment for latency optimization
- Compliance and audit documentation
Output Columns:
- Subscription, Location, Display Name
- Logical Zone (1, 2, or 3)
- Physical Zone (e.g.,
eastus-az1,westeurope-az2)
Data Source: Azure Resource Manager Subscriptions API
Usage
Running Internal Plugins
Internal plugins can be executed in two ways:
1. Standalone Plugin Commands (Recommended for Fast Execution)
Run plugins as top-level commands for optimized execution. This mode skips resource and APRL scanning, executing only the specified plugin:
# Run OpenAI throttling plugin
azqr openai-throttling
# Run carbon emissions plugin
azqr carbon-emissions
# Run zone mapping plugin
azqr zone-mapping
# Run with specific subscriptions
azqr zone-mapping --subscription-id <sub-id>
# Run with custom output name
azqr openai-throttling --output-name throttling-report
Benefits of Standalone Mode:
- ⚡ Faster execution - Skips resource scanning
- 📊 Cleaner reports - Contains only plugin results
- 🎯 Focused analysis - Dedicated to specific plugin output
2. Integrated with Full Scan
Run plugins alongside standard compliance scanning using the --plugin flag:
# Enable single plugin during scan
azqr scan --plugin openai-throttling
# Enable multiple plugins during scan
azqr scan --plugin openai-throttling --plugin carbon-emissions --plugin zone-mapping
# Combine with other scan options
azqr scan --subscription-id <sub-id> --plugin zone-mapping --output-name analysis
When to Use Scan Integration:
- Need both compliance recommendations and plugin analysis
- Want consolidated report with all data
- Running comprehensive assessments
Listing Available Plugins
View all registered plugins (internal and YAML):
azqr plugins list
Sample Output:
NAME VERSION TYPE DESCRIPTION
openai-throttling 1.0.0 internal Checks OpenAI/Cognitive Services accounts for...
carbon-emissions 1.0.0 internal Analyzes carbon emissions by Azure resource type
zone-mapping 1.0.0 internal Retrieves logical-to-physical availability zone mappings...
Plugin Details
Get detailed information about a specific plugin:
azqr plugins info zone-mapping
Output Formats
Internal plugin results are included in all output formats:
Excel (Default)
Each internal plugin creates a dedicated worksheet in the Excel workbook:
- Zone Mapping sheet
- OpenAI Throttling sheet
- Carbon Emissions sheet
# Run plugins as standalone commands (fastest)
azqr openai-throttling
azqr carbon-emissions
azqr zone-mapping
# Or run with full scan
azqr scan --plugin openai-throttling --plugin carbon-emissions --plugin zone-mapping
# Generates: azqr_action_plan_YYYY_MM_DD_THHMMSS.xlsx
JSON
Plugin results are included in the pluginResults array:
# Run as standalone command
azqr zone-mapping --json
# Or run with full scan
azqr scan --plugin zone-mapping --json
JSON Structure:
{
"recommendations": [...],
"resources": [...],
"pluginResults": [
{
"pluginName": "zone-mapping",
"sheetName": "Zone Mapping",
"description": "Retrieves logical-to-physical availability zone mappings for all Azure regions in each subscription",
"table": [
["Subscription", "Location", "Display Name", "Logical Zone", "Physical Zone"],
["Production", "East US", "East US", "1", "eastus-az1"]
]
}
]
}
CSV
Plugin results are exported to separate CSV files:
# Run as standalone command
azqr zone-mapping --csv
# Or run with full scan
azqr scan --plugin zone-mapping --csv
# Generates:
# <filename>.zone-mapping.csv
# <filename>.recommendations.csv
# <filename>.inventory.csv
# ...
Interactive Dashboard
View plugin results interactively using the show command:
# Generate report with plugins (standalone commands)
azqr openai-throttling --output-name analysis
azqr carbon-emissions --output-name analysis
azqr zone-mapping --output-name analysis
# Or generate with full scan
azqr scan --plugin openai-throttling --plugin carbon-emissions --plugin zone-mapping --output-name analysis
# Launch interactive viewer
azqr show -f analysis.xlsx --open
The dashboard provides:
- Filterable columns (dropdowns, search)
- Sortable data tables
- Export capabilities
- Real-time filtering
Permissions
Internal plugins may require additional permissions beyond standard Reader access:
| Plugin | Required Permissions | API Dependencies |
|---|---|---|
| zone-mapping | Reader | Subscriptions API (locations endpoint) |
| openai-throttling | Reader + Monitoring Reader | Cognitive Services, Monitor Metrics |
| carbon-emissions | Reader | Carbon Optimization API |
Recommended: Assign Reader and Monitoring Reader roles at subscription or management group scope.
Performance Considerations
Internal plugins add processing time to scans:
- openai-throttling: 1-3 minutes (depends on number of OpenAI accounts)
- carbon-emissions: 1-2 minutes (depends on subscription count)
- zone-mapping: <10 seconds (very fast, one API call per subscription)
Optimization Tips:
- Enable only needed plugins
- Use subscription/resource group filters to reduce scope
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