https://github.com/manankalra/elastic-xpack-machine-learning-tutorial

A simple tutorial to get started with unsupervised machine learning for the elastic stack
https://github.com/manankalra/elastic-xpack-machine-learning-tutorial

anomaly-detection automation elastic elk machine-learning x-pack

Last synced: about 1 month ago
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A simple tutorial to get started with unsupervised machine learning for the elastic stack

• Host: GitHub
• URL: https://github.com/manankalra/elastic-xpack-machine-learning-tutorial
• Owner: manankalra
• License: mit
• Created: 2017-08-04T15:18:47.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-08-05T09:15:20.000Z (over 7 years ago)
• Last Synced: 2024-08-01T15:14:32.886Z (4 months ago)
• Topics: anomaly-detection, automation, elastic, elk, machine-learning, x-pack
• Language: Shell
• Homepage:
• Size: 10.9 MB
• Stars: 8
• Watchers: 2
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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• awesome - elastic-xpack-machine-learning-tutorial - A simple tutorial to get started with unsupervised machine learning for the elastic stack (Shell)

README

        
# elastic-xpack-machine-learning-tutorial

A simple tutorial to get started with unsupervised machine learning for the elastic stack

* *docs* - contains PDF's that explain step by step procedure to configure single metric, multi metric and advanced jobs

* *data* - contains sample data used by the tutorial documents

* *logstash-configurations* - contains logstash configuration files for loading and stashing the sample data into elasticsearch

* *scripts* - contains shell scripts to configure multi metric jobs for detecting anomalies and their influencers in system logs (CPU, memory and disk usage) and access (apache) logs

## License

### ![MIT](https://github.com/manankalra/elastic-xpack-machine-learning-tutorial/blob/master/LICENSE)