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rozetko
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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
- type in
- For grafana installed via Standalone Linux Binaries:
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 toVariables
- Add new variable
- set
type
toConstant
- set
name
toHASTIC_SERVER_URL
- set
value
to URL of your hastic-server instance in your dashboard (e.g.http://localhost:8000
)
- set
- Save settings and close Settings window
- Open panel edit mode (click
panel title
menu 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
- Push
- Label your data:
- Click button with chart icon
- Highlight anomalies on graph holding
Ctrl
button on Windows orCmd
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