azure-observability

Name: azure-observability
Author: microsoft

Official

github.com/microsoftData & databases1.6k98.2k installsUpdated today

Repository

About azure-observability

azure-observability is a skill for Azure monitoring and troubleshooting, aimed at operators and developers who need metrics, application performance, logs, and alerts. It brings together MCP tools and CLI usage for Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks, with common KQL examples.

Key features

01Query metrics and logs
02Inspect application performance and traces
03Query logs with KQL
04Work with alerts and interactive reports
05Use common monitoring strategies

Use cases

01Investigate application exceptions and failed requests
02Analyze response times and dependencies
03Check infrastructure metrics
04Query security audit logs

MCP support

When Azure MCP is enabled, the skill prefers its tools to query Azure Monitor metrics and logs, list Application Insights resources, and list Kusto clusters and run KQL queries.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/microsoft/azure-skills --skill azure-observability

After installing, type/azure-observabilityin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/

auth-best-practices.md

references/sdk/

azure-mgmt-applicationinsights-dotnet.md

azure-monitor-ingestion-java.md

azure-monitor-ingestion-py.md

azure-monitor-opentelemetry-exporter-py.md

azure-monitor-opentelemetry-py.md

azure-monitor-opentelemetry-ts.md

azure-monitor-query-java.md

azure-monitor-query-py.md

Details

From the project README

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__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

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-instrumentation skill
KQL query patterns -> Log Analytics KQL documentation
Alert configuration -> Azure Monitor alerts documentation

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Details

Author: microsoft
Repository: microsoft/azure-skills
Category: Data & databases
Installs: 98,228
GitHub stars: 1,603
First seen: Jan 29, 2026

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