name: azure-observability description: Azure Observability Services including Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks. Provides metrics, APM, distributed tracing, KQL queries, and interactive reports.

Azure Observability Services

Services

MCP Server (Preferred)

When Azure MCP is enabled:

Monitor

• azure__monitor with command monitor_metrics_query - Query metrics
• azure__monitor with command monitor_logs_query - Query logs with KQL

Application Insights

• azure__applicationinsights with command applicationinsights_component_list - List App Insights resources

Log Analytics

• azure__kusto with command kusto_cluster_list - List clusters
• azure__kusto with command kusto_query - Execute KQL queries

If Azure MCP is not enabled: Run /azure:setup or enable via /mcp.

CLI Reference

# List Log Analytics workspaces
az monitor log-analytics workspace list --output table

# Query logs with KQL
az monitor log-analytics query \
  --workspace WORKSPACE_ID \
  --analytics-query "AzureActivity | take 10"

# List Application Insights
az monitor app-insights component list --output table

# List alerts
az monitor alert list --output table

# Query metrics
az monitor metrics list \
  --resource RESOURCE_ID \
  --metric "Percentage CPU"

Common KQL Queries

// Recent errors
AppExceptions
| where TimeGenerated > ago(1h)
| project TimeGenerated, Message, StackTrace
| order by TimeGenerated desc

// Request performance
AppRequests
| where TimeGenerated > ago(1h)
| summarize avg(DurationMs), count() by Name
| order by avg_DurationMs desc

// Resource usage
AzureMetrics
| where TimeGenerated > ago(1h)
| where MetricName == "Percentage CPU"
| summarize avg(Average) by Resource

Monitoring Strategy

SDK Quick References

For programmatic access to monitoring services, see the condensed SDK guides:

• OpenTelemetry: Python | TypeScript | Python Exporter
• Monitor Query: Python | Java
• Log Ingestion: Python | Java
• App Insights Mgmt: .NET

Service Details

For deep documentation on specific services:

• Application Insights setup -> appinsights-instrumentation skill
• KQL query patterns -> Log Analytics KQL documentation
• Alert configuration -> Azure Monitor alerts documentation