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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: 4 days 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 (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2017-08-05T09:15:20.000Z (almost 7 years ago)
- Last Synced: 2024-03-12T19:33:05.880Z (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
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Lists
- 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
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