Queries Azure Monitor logs and metrics using the Python SDK to enable deep observability and data analysis.
This skill integrates the Azure Monitor Query SDK for Python into Claude's workflow, allowing for programmatic access to Log Analytics workspaces and Azure Monitor metrics. It enables users to execute complex Kusto (KQL) queries, retrieve performance metrics with custom aggregations, and process results using tools like Pandas. Whether diagnosing application errors, monitoring system health, or automating reporting, this skill provides the implementation patterns necessary to bridge Claude's coding capabilities with Azure's observability platform, including support for asynchronous operations and batch processing.
Características Principales
01Perform batch log queries to retrieve multiple datasets efficiently
02Retrieve multi-dimensional resource metrics with custom aggregations
03Execute Kusto (KQL) queries against Log Analytics workspaces
0431,722 GitHub stars
05Convert log query results directly into Pandas DataFrames for analysis
06Support for asynchronous query operations and robust error handling
Casos de Uso
01Generating resource utilization reports using CPU, memory, and network metrics
02Analyzing application logs to troubleshoot production errors and latency issues
03Automating observability dashboards by fetching live data through Python scripts
