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kubejyg: Kubernetes Resource Extraction with Namespace Grouping built for filtering with jq, yq and grep.

Project description

Kubejyg

Kubernetes Resource Extraction with Namespace Grouping.

How it works

kubejyg extracts Kubernetes resources across multiple namespaces, grouping them by namespace. The output is generated in either JSON or YAML, ready to be piped into well known processors like jq, yq, and grep.

Examples

Fetch all deployment manifests from all namespaces in YAML.

kubejyg | yq ".Namespaces.[].[].[].Deployments" -C

Fetch all deployment manifests across all namespaces in YAML and filter nulls.

kubejyg | yq ".Namespaces[].[].[].Deployments | select ( . != null ) | .[]" -C

Fetch all the annotations from all the Services across all Namespaces in JSON.

kubejyg -o json | jq ".Namespaces[].[].[].Services | select ( . != null) | .[].metadata.annotations" -C

Output structure

{
    "Namespaces": [
        {
            "ns-1": [
                {
                    "Deployments": [
                        {
                            deployment-manifest-1
                        }
                        ...
                    ]
                    "Services": [
                        {
                            service-manifest-1
                        }
                        ...
                    ]
                    "Ingress": [
                        {
                            ingress-manifest-1
                        }
                        ...
                    ]
                }
            ]
        ...
        }
    ]
}

Installation

pip install kubejyg

Features

Kubernetes resources:

  • Deployments
  • Services
  • Ingresses

Output:

  • YAML
  • JSON

Naming

kubejyg is named after the following utilities:

  1. kubectl
  2. jq
  3. yq
  4. grep

Gotchas

jq: error (at <stdin>:1): Cannot iterate over null (null).

Some namespaces might not contain resources of all kinds. If we apply filters over empty arrays, jq and yq will replaces those arrays with null values. Applying filters over them will error out. Use select ( . != null) to filter null expressions, see examples for details.

Contributing

  1. Create an issue
  2. Fork
  3. Change
  4. Open PR
  5. Profit!

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