Introduction to Kusto Query Language (KQL) in Azure Log Analytics
Learn KQL fundamentals by querying real log data in Azure Log Analytics using search, where, project, and summarize operators.
Lab Overview & Objectives
Kusto Query Language (KQL) is the primary query language used across Azure Monitor, Microsoft Sentinel, Azure Data Explorer, and Microsoft Defender. In this lab, you will learn KQL fundamentals by querying real log data inside an Azure Log Analytics workspace. Starting with basic operators like search, where, and project, you will progress to aggregating data with summarize and visualizing results with render — all within the Azure Portal's Logs query editor.
Objectives
Upon completion of this beginner level lab, you will be able to:
- Navigate to a Log Analytics workspace and use the Logs query editor
- Write basic KQL queries using
search,where,project, andtakeoperators - Filter, sort, and format query results using
extend,sort by, andtop - Aggregate data using
summarizewithcount(),avg(), andbin() - Create time-based queries using
ago()and render visual charts
Who is this lab for?
This lab is designed for:
- Cloud engineers getting started with Azure monitoring
- Security analysts learning log analysis fundamentals
- DevOps engineers who need to query Azure Monitor logs
- IT administrators managing Azure environments
Real-Time Validation
Our platform uses an automated validation engine to verify your configurations as you work through the lab modules. No multiple choice—just real-world proficiency.