Real-Time KQL

To process data with Kusto Query Language (KQL) queries today, users generally have to upload their data to storage first and then query it. The Kql Tools eliminate this need by processing event streams with KQL queries as events arrive, in real-time.

Contents

• List of tools
• Supported event sources
• Supported event destinations
• Contributing

List of Tools

Command Line Tool	Python Module	PowerShell Module
Documentation	Documentation	Documentation
Downloads	Downloads	Downloads
Demo	Demo	Demo

Supported Event Sources

In addition to processing CSV files, the KQL tools support the following input sources:

	Windows	Linux
OS Logs	WinLog - logs seen in EventVwr or log file(s) on disk	Syslog - the OS log
High-Volume Tracing	Etw - Event Tracing for Windows	EBPF - dynamic interception of kernel and user mode functions (Coming soon)

Supported Event Destinations

Real-Time Output	File Output	Upload Output
json- Results printed to standard output in JSON format	json file - Results written to file in JSON format	adx - Upload to Kusto (Azure Data Explorer)
table - Results printed to standard output in table format		blob - Upload as JSON objects to BlobStorage

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.