This is an example of how to extend k8sgpt analyzer with a custom implementation. This enables you to run additional behaviours outside of Kubernetes or with different languages.

See the related tutorial

You will need to run this example locally. This example is hard coded to port 8085. e.g.

go run main.go

Trigger it through grpcurl. e.g.

❯ grpcurl --plaintext localhost:8085 schema.v1.AnalyzerService/Run
{
  "result": {
    "name": "diskuse",
    "error": [
      {
        "text": "Disk usage is 67"
      }
    ],
    "details": "Disk usage is 67"
  }
}

When you have this service ready to go and running somewhere. Add it to the K8sGPT custom-analysis config

❯ cat ~/Library/Application\ Support/k8sgpt/k8sgpt.yaml
custom_analyzers:
  - name: Example
    connection:
      url: localhost
      port: 8085