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Contributing Guidelines for KQL-Elasticsearch-Data-Filtering

Welcome Contributors! 🎉

Thank you for your interest in contributing to KQL-Elasticsearch-Data-Filtering! We appreciate your help in making this project better.

How to Contribute

  1. Report Bugs: If you encounter any issues or bugs, please open an issue on our GitHub repository. Be sure to provide detailed information about the problem you've encountered.

  2. Feature Requests: Have an idea for a new feature? Feel free to create an issue with the "feature request" label. We'll discuss it and consider adding it to the project.

  3. Pull Requests (PRs):

    • Fork the repository.
    • Create a new branch for your changes.
    • Make your changes and commit them.
    • Submit a PR to the main branch.
    • Ensure your PR includes a clear description of the changes you've made.

  4. Code of Conduct: Please follow our Code of Conduct when participating in this project.

Kibana Query Language (KQL)

KQL is a powerful tool for filtering and querying Elasticsearch data. Whether you're investigating security incidents, analyzing logs, or monitoring performance, KQL simplifies the process. As an open-source project, we invite you to contribute by reporting bugs, enhancing features, and engaging with the Kibana community. Let's collaborate to make KQL even better! 🚀👍

License

This project is licensed under the MIT License.