Queries Azure Monitor logs and metrics using the specialized Python SDK and Kusto Query Language (KQL).
This skill enables Claude to efficiently interact with Azure Monitor and Log Analytics workspaces using the Azure Monitor Query SDK for Python. It provides standardized implementation patterns for executing Kusto (KQL) queries, retrieving resource metrics, and managing authentication via Azure Identity. Whether you are building automated diagnostic tools, custom observability dashboards, or performing deep data analysis, this skill provides the necessary guidance for batch processing, handling partial results, and integrating query data directly into Pandas DataFrames for advanced reporting.
Key Features
01Asynchronous client implementations for high-performance operations
02Support for batch log queries and partial result handling
03Azure Monitor resource metrics retrieval and aggregation
04Seamless integration with Pandas DataFrames for data analysis
052 GitHub stars
06Log Analytics querying with Kusto Query Language (KQL)
Use Cases
01Analyzing application logs and performance metrics for troubleshooting
02Building automated diagnostic reports for Azure-hosted applications
03Creating custom monitoring dashboards and observability tools
