[](https://github.com/opensearch-project/anomaly-detection/actions?query=workflow%3A%22Build+and+Test+Anomaly+detection%22+branch%3A%22main%22) [](https://codecov.io/gh/opensearch-project/anomaly-detection) [](https://opensearch.org/docs/monitoring-plugins/ad/index/) [](https://forum.opensearch.org/)  <img src="https://opensearch.org/assets/img/opensearch-logo-themed.svg" height="64px"> <!-- TOC --> - [OpenSearch Anomaly Detection](#opensearch-anomaly-detection) - [Documentation](#documentation) - [Contributing](#contributing) - [Code of Conduct](#code-of-conduct) - [Security](#security) - [License](#license) - [Copyright](#copyright) <!-- /TOC --> ## OpenSearch Anomaly Detection The OpenSearch Anomaly Detection plugin enables you to leverage Machine Learning based algorithms to automatically detect anomalies as your log data is ingested. Combined with [OpenSearch Alerting](https://github.com/opensearch-project/alerting), you can monitor your data in near real time and automatically send alert notifications . With an intuitive OpenSearch Dashboards interface, and a powerful API, it is easy to set up, tune, and monitor your anomaly detectors. Anomaly detection is using the [Random Cut Forest (RCF) algorithm](https://github.com/aws/random-cut-forest-by-aws) for detecting anomalous data points. Anomaly detections run a scheduled job using [job-scheduler](https://github.com/opensearch-project/job-scheduler). You can use this plugin with the same version of the [OpenSearch Alerting Plugin](https://github.com/opensearch-project/alerting) to create monitors based on created anomaly detectors. A scheduled monitor run checks the anomaly detection results regularly, and collects anomalies to trigger alerts based on custom trigger conditions. ## Documentation Please see [our documentation](https://opensearch.org/docs/monitoring-plugins/ad/index/). ## Contributing See [developer guide](DEVELOPER_GUIDE.md) and [how to contribute to this project](CONTRIBUTING.md). ## Code of Conduct This project has adopted the [Amazon Open Source Code of Conduct](CODE_OF_CONDUCT.md). For more information see the [Code of Conduct FAQ](https://aws.github.io/code-of-conduct-faq), or contact [opensource-codeofconduct@amazon.com](mailto:opensource-codeofconduct@amazon.com) with any additional questions or comments. ## Security If you discover a potential security issue in this project we ask that you notify AWS/Amazon Security via our [vulnerability reporting page](http://aws.amazon.com/security/vulnerability-reporting/). Please do **not** create a public GitHub issue. ## License This project is licensed under the [Apache v2.0 License](LICENSE.txt). ## Copyright Copyright OpenSearch Contributors. See [NOTICE](NOTICE.txt) for details.