Alfred workflow that can interact with a Kubernetes cluster.
You can install this workflow by downloading the most recent release from Github or get it through Alfred Gallery (not possible yet).
You will be asked to set two variables when first installing the workflow:
- The path to your kube configuration file.
- The name of the default kubernetes context you want to use.
The default values will work out of the box for most people.
The workflow has two keyword methods:
- kube
- kube-context
The latter makes it easy to switch context. This can also be done by pressing Configure Workflow... under this workflow in Alfred preferences.
The main keyword kube will fire a series of api calls which guides the user through retrieving the resources on the cluster.
The supported global resource types are:
- Node
- Namespace
- PV
The supported namespaced resource types are:
- Pod
- Deployment
- Configmap
- Secret
- Statefulset
- PVC
More details about a resource can be displyed in a Terminal window by hitting ⌘⏎ on a selected resource.
Pod resources have two further options:
- ⌥⏎ displays the logs in a Terminal window.
- ⌃⏎ opens an interactive session in a pod, using
/bin/sh, in a Terminal window.
Inital prompt - pick a resource type
Pick a namespace or choose all namespaces
Get resources
This workflow relies on Python 3 and the following python packages (all shipped with the workflow):
- os
- sys
- json
- kubernetes
The workflow furthermore relies on the Kubectl CLI package for fetching details about the resources, pod logs and for executing code in pods (kubectl exec). Both resource details and pod logs will be moved away from kubectl in a later release, but opening interactive sessions into pods can't be done through the python client.
Kubectl can be installed with Homebrew and from binaries.