Hastic server

Implementation of basic pattern recognition and unsupervised learning for anomaly detection.

Implementation of analytic unit for Hastic.

See also:

• Hooks - notifications about events
• REST - developing your plugins
• [HasticPanel][https://github.com/hastic/hastic-grafana-graph-panel] - Hastic plugin for Grafana

Build & run

Server needs Grafana's API key (http://<your_grafana_url>/org/apikeys) to query data from Grafana datasources. API key role needs only Viewer access.

Docker installation

Example of running hastic-server in Docker:

docker build -t hastic-server .
docker run -d --name hastic-server -p 80:8000 -e HASTIC_API_KEY=<your_grafana_api_key> hastic-server

Linux installation

Environment variables

You can export following environment variables for hastic-server to use:

• HASTIC_API_KEY - (required) API-key of your Grafana instance
• HASTIC_PORT - (optional) port you want to run server on, default: 8000

Dependencies

You need in your system:

• nodejs >= 6.0.0
• python3 python3-pip
• curl gnupg git make g++

Example of running hastic-server on Debian / Ubuntu host:

$ pip3 install pandas seglearn scipy tsfresh
$ export HASTIC_API_KEY=<your_grafana_api_key>
$ export HASTIC_PORT=<port_you_want_to_run_server_on>

$ git clone https://github.com/hastic/hastic-server.git
$ cd hastic-server/server
$ npm install && npm run build
$ npm start