Azure Data Explorer Kusto Queries
ListedHelps with Azure, data as part of deploying and managing cloud infrastructure workflows.
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johnsonshi
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About this skill
What it does
This skill allows AI agents to query data stored in Azure Data Explorer using Kusto Query Language (KQL). It can retrieve, filter, and aggregate data based on user requests. The agent can then present the results in a human-readable format or use them for further processing within the workflow.
When to use it
- Log Analysis: Investigate application logs stored in Azure Data Explorer to identify errors or performance bottlenecks.
- Time Series Data: Analyze metrics and time series data, such as website traffic or sensor readings, to detect trends and anomalies.
- Business Intelligence: Generate reports and dashboards based on data residing within Azure Data Explorer for business decision-making.
- Security Monitoring: Search security event logs to identify suspicious activity and potential threats.
Key capabilities
- Kusto Query Language (KQL) execution
- Data retrieval from Azure Data Explorer clusters
- Filtering and aggregation of data
- Human-readable result presentation
Example prompts
- "Show me the error rates for my application over the last hour."
- "What were the top 10 most visited pages on our website yesterday?"
- "Find all security events related to failed login attempts in the past week."
Tips & gotchas
- Requires proper authentication and authorization configured within Azure Data Explorer.
- KQL syntax is specific; ensure prompts are formulated correctly for accurate results.