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How to use KQL for Azure monitoring (A basic recipe guide)

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Kusto Query Language (KQL) is a powerful language that can be used to query and analyze data in Azure Monitor. KQL is based on SQL, but it also includes additional features that are specifically designed for working with time series data.

This article provides a basic recipe guide for using KQL for Azure monitoring. We will cover the following topics:

  • Getting started with KQL
  • Common KQL queries
  • KQL operators and functions
  • KQL best practices

Getting started with KQL

To get started with KQL, you will need to open Azure Monitor Log Analytics. Once you are in Log Analytics, you can start writing KQL queries in the query editor.

To run a KQL query, simply click the Run button. The query results will be displayed in the table below the query editor.

Common KQL queries

Here are some common KQL queries that you can use for Azure monitoring:

Query 1: List all of the resources in your Azure subscription

Code snippet

Resources

Query 2: List all of the metrics that are collected for a specific resource

Code snippet

// Replace 'resource_name' with the name of the resource
Metrics | where Resource == 'resource_name'

Query 3: List all of the alerts that are configured for a specific resource

Code snippet

// Replace 'resource_name' with the name of the resource
Alerts | where Resource == 'resource_name'

Query 4: List all of the log events that have been generated for a specific resource in the past hour

Code snippet

// Replace 'resource_name' with the name of the resource
LogData | where Resource == 'resource_name' | where TimeGenerated > ago(1h)

KQL operators and functions

KQL includes a variety of operators and functions that can be used to query and analyze data. Here are a few examples:

Operators:

  • ==: Equal to
  • !=: Not equal to
  • <: Less than
  • >: Greater than
  • <=: Less than or equal to
  • >=: Greater than or equal to

Functions:

  • avg(): Returns the average of a set of values.
  • count(): Returns the number of values in a set.
  • max(): Returns the maximum value in a set.
  • min(): Returns the minimum value in a set.
  • where(): Filters the results of a query based on a condition.

KQL best practices

Here are a few KQL best practices:

  • Use descriptive names for your variables and columns.
  • Use the where() clause to filter your results as early as possible.
  • Use the sort by clause to sort your results in a meaningful way.
  • Use the limit clause to limit the number of results that are returned.
  • Comment your code to make it easier to read and understand.

Conclusion

KQL is a powerful language that can be used to query and analyze data in Azure Monitor. By learning the basics of KQL, you can gain valuable insights into your Azure environment and improve your monitoring capabilities.

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