Kusto Query Language Brief Overview and its application
KQL stands for Kusto Query Language. It’s the language used to query the Azure log databases: Azure
Monitor Logs, Azure Monitor Application Insights and others.
Kusto are perfect for massive amounts of streamed data like application logs.
Kusto was the original codename for the Azure Application Insights platform that Azure Monitor is now
based on and was named after Jacques Cousteau – a French undersea explorer.
Mostly a Kusto query is a read-only request to process data and return results and The KQL is very
simple to understand and use.
The syntax is similar to SQL, but it was created specifically to work with large datasets in Azure. Since it's
read-only there are no update or delete clauses.
It is based on relational management systems, which use schema entities, and is organized into a
hierarchy like SQL's databases tables and columns.
Azure Data Explorer
Azure Data Explorer is a service that allows you to store log and telemetry data.
It can handle many data streams emitted by several entities concurrently (websites, LOB apps, CRMs,
Social data sources, IoT devices, Cloud components, etc.).
This data is collected and stored. Data Explorer then provides a way for you to analyze this large volume
of data, perform complex queries and drill down into specific events.
Therefore, Azure Data Explorer provides a great way for you to perform diagnostics, monitoring, and
reporting of all components of your application and environment.
This kind of analysis is key for performance testing and application optimization.
Other Azure Services
KQL is the primary mean to query data from Azure Data Explorer; however, it is also used to interact
with the following inter-related Azure services:
