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README.md

Hastic Graph Panel

A better version of Grafana's default Graph Panel. Able to render Anomalies & more.

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

Prerequisites

Installation

  • Navigate to /plugins directory in <GRAFANA_PATH>/data/plugins

  • Download hastic graph panel

wget [PLACEHOLDER]
  • Unpack downloaded files
tar -zxvf [PLACEHOLDER]

Installation from source

Note, that <GRAFANA_PATH>/data/plugins directory will NOT be present until grafana-server was started at least once!

Also possible to create directory manually by typing:

mkdir -p data/plugins
  • Navigate to /plugins directory in <GRAFANA_PATH>/data/plugins
cd $GRAFANA_PATH/data/plugins
  • Clone the repository
git clone https://github.com/hastic/hastic-grafana-graph-panel.git
  • Navigate to /hastic-grafana-graph-panel directory
cd $GRAFANA_PATH/data/plugins/hastic-grafana-graph-panel
  • Install necessary dependencies
npm install
  • Build hastic graph panel
npm run build
  • Restart grafana-server
    • For grafana installed via Standalone Linux Binaries:
      • Stop any running instances of grafana-server
      • Start grafana-server by: $GRAFANA_PATH/bin/grafana-server
    • For grafana installed via Package Manager:
      • type in systemctl restart grafana-server

Usage

hastic-server should be running in order to use anomaly detection.

  • Open new dasboard where you want to see Hastic panel
  • Open Dashboard Settings (top right corner) and then navigate to Variables
  • Add new variable
    • set type to Constant
    • set name to HASTIC_SERVER_URL
    • set value to URL of your hastic-server instance in your dashboard (e.g. http://localhost:8000)
  • Save settings and close Settings window
  • Open panel edit mode (click panel titlemenu or press "e" hotkey)
  • Navigate to Metrics tab. Set metrics. Only one metric suported
  • Navigate to Analytics tab
    • Push Add an Anomaly Type button
    • Set name of the anomaly and choose a pattern type
    • Press create
  • Label your data:
    • Click button with chart icon
    • Highlight anomalies on graph holding Ctrl button on Windows or Cmd on Mac
    • When you have finished labeling - click the button with the chart icon once more. saving... status should appear.
  • Learning status should appear while hastic-server is learning (first learning can take a while).
  • When Learning status dissapears - the anomalies should become labeled in your graph
  • this icon means that the anomaly was marked by the server
  • this icon means that the anomaly was marked by the user

Development

Build

npm install
npm run build

Changelog

[Improvements]

  • You can zoom during update

Credits

Based on