Azure Observability
microsoft/azure-skillsThe azure-observability skill provides comprehensive monitoring and observability capabilities for Azure services, enabling users to query metrics, logs, and application insights through CLI commands and KQL queries. It supports monitoring application errors, performance, infrastructure, security, and costs, making it suitable for DevOps engineers, cloud administrators, and developers managing Azure resources. The skill facilitates both manual querying and programmatic access, offering detailed insights into Azure environments to optimize performance and troubleshoot issues.
Azure Observability Services
Services
Service
Use When
MCP Tools
CLI
Azure Monitor
Metrics, alerts, dashboards
azure__monitor
az monitor
Application Insights
APM, distributed tracing
azure__applicationinsights
az monitor app-insights
Log Analytics
Log queries, KQL
azure__kusto
az monitor log-analytics
Alerts
Notifications, actions
-
az monitor alert
Workbooks
Interactive reports
azure__workbooks
-
MCP Server (Preferred)
When Azure MCP is enabled:
Monitor
azure__monitorwith commandmonitor_metrics_query- Query metricsazure__monitorwith commandmonitor_logs_query- Query logs with KQL
Application Insights
azure__applicationinsightswith commandapplicationinsights_component_list- List App Insights resources
Log Analytics
azure__kustowith commandkusto_cluster_list- List clustersazure__kustowith commandkusto_query- Execute KQL queries If Azure MCP is not enabled: Run/azure:setupor 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
What to Monitor Service Metric/Log Application errors App Insights Exceptions, failed requests Performance App Insights Response time, dependencies Infrastructure Azure Monitor CPU, memory, disk Security Log Analytics Sign-ins, audit logs Costs Cost Management Budget alerts
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-instrumentationskill - KQL query patterns -> Log Analytics KQL documentation
- Alert configuration -> Azure Monitor alerts documentation
GitHub Owner
Owner: microsoft
GitHub Links
- Website: https://opensource.microsoft.com
- Email: opensource@microsoft.com
- Verified domains:
microsoft,opensource.microsoft.com,microsoft.com