Write and optimize KQL queries for Azure Monitor and Data Explorer.
npx skills add https://github.com/manu14357/skills --skill azure-kusto-manu14357
Please help me install this Agent Skill. Skill: azure-kusto Source: https://github.com/manu14357/skills/tree/main/skills/azure-kusto Command: npx skills add https://github.com/manu14357/skills --skill azure-kusto-manu14357
Writes and optimizes Kusto Query Language (KQL) queries for Azure Monitor and Data Explorer to derive actionable insights.
Run a starter KQL query for the last 24 hours across relevant tables.
High-intent search queries and answers about installing and using this skill.
To write KQL queries for Azure Monitor diagnostics, construct statements using early filtration, time-binning, and aggregation to analyze telemetry across Log Analytics and Application Insights efficiently.
The best way to optimize KQL queries for large telemetry datasets is by applying early filtration and aggregation to reduce data scanned, ensuring efficient performance tuning across Azure Data Explorer and Log Analytics.
Yes, you can use KQL queries for incident investigations across Application Insights by building diagnostic workflows that filter and aggregate telemetry data to identify root causes and performance bottlenecks.
Yes, querying Azure Data Explorer requires knowledge of KQL operators and table schemas to build accurate queries, apply proper time-binning, and document query elements for diagnostic and telemetry analysis.
You generate alerts and analyze trends using Log Analytics queries by writing KQL statements that aggregate telemetry data over specific time intervals, enabling performance tuning and incident detection across Azure Monitor.
anishi1222Execute KQL queries and manage clusters in Azure Data Explorer.
davidrrowleyQuery Azure Data Explorer clusters with KQL to retrieve logs and telemetry.
mahmoud20138Query and analyze Azure Data Explorer data with KQL.
ChiejiQuery and analyze Azure Data Explorer data using KQL.
