maruf-sherikar/antigravity-skills/azure-monitor-opentelemetry-exporter-py
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Azure Monitor OpenTelemetry Exporter for Python. Use for low-level OpenTelemetry export to Application Insights. Triggers: "azure-monitor-opentelemetry-exporter", "AzureMonitorTraceExporter", "AzureMonitorMetricExporter", "AzureMonitorLogExporter".
Install
npx vskill@latest install maruf-sherikar/antigravity-skills/azure-monitor-opentelemetry-exporter-pySKILL.md
The same SKILL.md was published earlier as francoscorporation/antigravity-awesome-skills/azure-monitor-opentelemetry-exporter-py.
Azure Monitor OpenTelemetry Exporter for Python
Low-level exporter for sending OpenTelemetry traces, metrics, and logs to Application Insights.
Installation
Environment Variables
When to Use
| Scenario | Use | |
|---|---|---|
| Quick setup, auto-instrumentation | azure-monitor-opentelemetry (distro) | |
| Custom OpenTelemetry pipeline | azure-monitor-opentelemetry-exporter (this) | |
| Fine-grained control over telemetry | azure-monitor-opentelemetry-exporter (this) |
Trace Exporter
Metric Exporter
Log Exporter
From Environment Variable
Exporters read APPLICATIONINSIGHTS_CONNECTION_STRING automatically:
Azure AD Authentication
Sampling
Use ApplicationInsightsSampler for consistent sampling:
Offline Storage
Configure offline storage for retry:
Disable Offline Storage
Sovereign Clouds
Exporter Types
| Exporter | Telemetry Type | Application Insights Table | |
|---|---|---|---|
AzureMonitorTraceExporter | Traces/Spans | requests, dependencies, exceptions | |
AzureMonitorMetricExporter | Metrics | customMetrics, performanceCounters | |
AzureMonitorLogExporter | Logs | traces, customEvents |
Configuration Options
| Parameter | Description | Default | |
|---|---|---|---|
connection_string | Application Insights connection string | From env var | |
credential | Azure credential for AAD auth | None | |
disable_offline_storage | Disable retry storage | False | |
storage_directory | Custom storage path | Temp directory |
Best Practices
- Use BatchSpanProcessor for production (not SimpleSpanProcessor)
- Use ApplicationInsightsSampler for consistent sampling across services
- Enable offline storage for reliability in production
- Use AAD authentication instead of instrumentation keys
- Set export intervals appropriate for your workload
- Use the distro (
azure-monitor-opentelemetry) unless you need custom pipelines
Security
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- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/azure-monitor-opentelemetry-exporter-py/SKILL.md
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