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kqltools's Introduction

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.

StandingQuery.jpg

Contents

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

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)
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

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 [email protected] with any additional questions or comments.

kqltools's People

Contributors

dependabot[bot] avatar georgis avatar jomorri avatar littl3field avatar microsoftopensource avatar namita-prakash avatar rbiles avatar

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