Hastic server

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Implementation of basic pattern recognition for anomaly detection.

Implementation of analytics unit for Hastic.

Please note that we are still in alpha, so features are subject to change

See also:

• Hooks - notifications about events
• REST - for developing your plugins
• HasticPanel - Hastic visualisation plugin for Grafana

Download & Install on Linux

You need only nodejs >= 6.14 on your machine.

Node 6

wget https://github.com/hastic/hastic-server/releases/download/0.2.2-alpha/hastic-server-0.2.2-alpha-node-6.tar.gz
tar -zxvf hastic-server-0.2.2-alpha-node-6.tar.gz
cd hastic-server-0.2.2-alpha/server/dist
node server

Node 8

wget https://github.com/hastic/hastic-server/releases/download/0.2.2-alpha/hastic-server-0.2.2-alpha-node-8.tar.gz
tar -zxvf hastic-server-0.2.2-alpha-node-8.tar.gz
cd hastic-server-0.2.2-alpha/server/dist
node server

Build & run from source

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

Possible to install on:

• Linux
• Docker

Linux

System prerequisites:

• git
• nodejs >= 6.14
• python == 3.6.х with pip3

Installation

git clone https://github.com/hastic/hastic-server.git
cd hastic-server
pip3 install -r analytics/requirements.txt
cd server
npm install
npm run build

Configuration

You can configure hastic-server using either environment variables or config file.

NOTE: environment variables have higher priority than config file.

Environment variables

You can export the 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

e.g.

export HASTIC_API_KEY=eyJrIjoiVjZqMHY0dHk4UEE3eEN4MzgzRnd2aURlMWlIdXdHNW4iLCJuIjoiaGFzdGljIiwiaWQiOjF9
export HASTIC_PORT=8080

Config file

You can also rename config.example.json to config.json and set your values there.

Run

cd hastic-server/server
npm start

Docker

Fetch image

docker pull hastic/server

Run

docker run -d \
  --name hastic-server \
  --ipc host \
  -p 80:8000 \
  -e HASTIC_API_KEY=<your_grafana_api_key> \
  -v /tmp:/tmp \
  hastic/server

Make sure that HASTIC_PORT is opened in your firewall. Default value is 8000.

Changelog

[0.2.2-alpha] - 2018-09-12

NOTE: hastic-panels of versions older than 0.2.0 are not supported

Changed

• Consider segment width in models #136
• Increase learning dataset timerange

[0.2.1-alpha] - 2018-09-04

NOTE: hastic-panels of versions older than 0.2.0 are not supported

Changed

• Models improvements

[0.2.0-alpha] - 2018-09-03

NOTE: hastic-panels of versions older than 0.2.0 are not supported

Added

• Return version of server #66
• Return analytic status #71

Fixed

• Case-sensitive anomaly name #41
• ImportError: cannot import name 'isna' #59
• Handle analytics connection failure on server #74
• Analytics wont start in production mode #77
• Basic creation of analytic unit fails #79
• Missing communication between analytics and server in production #91 - thx @petrk94 for bugreport
• Server is stopping only after second Ctrl-C #96
• Error: 'value' #100
• Error: Unexpected response #125
• Error: max of an empty sequence in peaks model #126

[0.1.4-alpha] - 2018-06-29

Changed

• Informative error messages instead of "Internal error" #40

Fixed

• "No such file or directory" error on anomaly create #33
• Case-sensitive anomaly name #41

[0.1.3-alpha] - 2018-06-28

Changed

• Drops algorithm improvement.

[0.1.2-alpha] - 2018-06-25

Fixed

• Error: type object 'sklearn.tree...' #28

[0.1.1-alpha] - 2018-06-25

Added

• HASTIC_API_KEY to config file #23