## cdk8s-grafana
[](https://constructs.dev/packages/cdk8s-grafana)
cdk8s-grafana is a library that lets you easily define a Grafana service for
your kubernetes cluster along with associated dashboards and datasources, using
a high level API.
### Usage
To apply the resources generated by this construct, the Grafana operator must be
installed on your cluster. See
[https://operatorhub.io/operator/grafana-operator](https://operatorhub.io/operator/grafana-operator) for full installation
instructions.
The following will define a Grafana cluster connected to a Prometheus
datasource:
```python
import { Grafana } from 'cdk8s-grafana';
// inside your chart:
const grafana = new Grafana(this, 'my-grafana', {
defaultDataSource: {
name: 'Prometheus',
type: 'prometheus',
access: 'proxy',
url: 'http://prometheus-service:9090',
}
});
```
Basic aspects of a dashboard can be customized:
```python
const github = grafana.addDatasource('github', ...);
const dashboard = grafana.addDashboard('my-dashboard', {
title: 'My Dashboard',
refreshRate: Duration.seconds(10),
timeRange: Duration.hours(6), // show metrics from now-6h to now
plugins: [
{
name: 'grafana-piechart-panel',
version: '1.3.6',
}
],
});
```
Note: the kubernetes grafana operator only supports one Grafana instance per
namespace (see https://github.com/grafana-operator/grafana-operator/issues/174).
This may require specifying namespaces explicitly, e.g.:
```python
const devGrafana = new Grafana(this, 'my-grafana', {
namespace: 'dev',
});
const prodGrafana = new Grafana(this, 'my-grafana', {
namespace: 'prod',
});
```
The grafana operator must be installed in each namespace for the resources in
that namespace to be recognized.
## Security
See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more
information.
## License
This project is licensed under the Apache-2.0 License.
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"description": "## cdk8s-grafana\n\n[](https://constructs.dev/packages/cdk8s-grafana)\n\ncdk8s-grafana is a library that lets you easily define a Grafana service for\nyour kubernetes cluster along with associated dashboards and datasources, using\na high level API.\n\n### Usage\n\nTo apply the resources generated by this construct, the Grafana operator must be\ninstalled on your cluster. See\n[https://operatorhub.io/operator/grafana-operator](https://operatorhub.io/operator/grafana-operator) for full installation\ninstructions.\n\nThe following will define a Grafana cluster connected to a Prometheus\ndatasource:\n\n```python\nimport { Grafana } from 'cdk8s-grafana';\n\n// inside your chart:\nconst grafana = new Grafana(this, 'my-grafana', {\n defaultDataSource: {\n name: 'Prometheus',\n type: 'prometheus',\n access: 'proxy',\n url: 'http://prometheus-service:9090',\n }\n});\n```\n\nBasic aspects of a dashboard can be customized:\n\n```python\nconst github = grafana.addDatasource('github', ...);\nconst dashboard = grafana.addDashboard('my-dashboard', {\n title: 'My Dashboard',\n refreshRate: Duration.seconds(10),\n timeRange: Duration.hours(6), // show metrics from now-6h to now\n plugins: [\n {\n name: 'grafana-piechart-panel',\n version: '1.3.6',\n }\n ],\n});\n```\n\nNote: the kubernetes grafana operator only supports one Grafana instance per\nnamespace (see https://github.com/grafana-operator/grafana-operator/issues/174).\nThis may require specifying namespaces explicitly, e.g.:\n\n```python\nconst devGrafana = new Grafana(this, 'my-grafana', {\n namespace: 'dev',\n});\nconst prodGrafana = new Grafana(this, 'my-grafana', {\n namespace: 'prod',\n});\n```\n\nThe grafana operator must be installed in each namespace for the resources in\nthat namespace to be recognized.\n\n## Security\n\nSee [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more\ninformation.\n\n## License\n\nThis project is licensed under the Apache-2.0 License.\n",
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