Summary and resources
Azure Administrators work with Log Analytics in the Azure portal to run log queries on their data in Azure Monitor logs. Administrators can create Kusto Query Language (KQL) queries to consolidate and analyze their data.
In this module, you identified the features and usage cases for Log Analytics in Azure Monitor. You created a Log Analytics workspace in the Azure portal. You reviewed how to use KQL to structure a Log Analytics query and review the results.
The main takeaways from this module are:
- Log Analytics in Azure Monitor allows you to edit and run log queries for data collected in Azure Monitor Logs.
- It supports the Kusto Query Language (KQL) and provides features for detailed analysis and problem-solving.
- Log Analytics helps assess update requirements, track changes, and identify access issues in your systems.
Learn more
Create a Log Analytics workspace. This article shows you how to create a Log Analytics workspace. You need a Log Analytics workspace to collect and analyze data.
Log Analytics tutorial. This tutorial walks you through the Log Analytics interface, gets you started with some basic queries, and shows you how you can work with the results.
Get started with log queries in Azure Monitor. In this tutorial, you learn to write log queries in Azure Monitor. This article includes a link to a demonstration environment.
Learn more with self-paced training
Write your first query with the Kusto Query Language (KQL). Get started by writing simple queries in Kusto Query Language (KQL) to explore and gain insights from your data.
Gain insights from your data by using Kusto Query Language. Write advanced queries in Kusto Query Language to help you gain insights from your data. Communicate these results visually in charts.
Analyze your Azure infrastructure by using Azure Monitor logs (sandbox). Use Azure Monitor logs to extract valuable information about your infrastructure from log data.