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rozetko
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7 years ago | |
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server | 7 years ago | |
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README.md | 7 years ago | |
REST.md | 7 years ago |
README.md
Hastic server
Implementation of basic pattern recognition and unsupervised learning for anomaly detection.
Implementation of analytic unit for Hastic. see REST API
Build & run
Docker
First of all, you should generate API key in your Grafana instance.
Without API key hastic-server will not be able to use your datasources.
Example of running hastic-server in Docker:
docker build -t hastic-server .
docker run -d --name hastic-server -p 80:8000 -e API_KEY=<your_grafana_api_key> hastic-server