Psykube

A tool for managing the Kubernetes lifecycle of a single container application.

Installation

Homebrew for OSX

You can install psykube on OSX using homebrew by running:

brew install commercialtribe/tools/psykube

Binaries

You can also download the pre-built binaries.

Usage

psykube [command] [arguments]

Commands

apply <cluster>

Applies the generated kubernetes manifests for the specified cluster.

copy-namespace <from> <to>

Copies a kubernetes namespace and (most) of its resources to a new namespace.

delete <cluster>

Deletes all associated kubernetes manifests for the current app.

exec <command>

Finds a running pod belonging to this app and executes a command within it.

generate <cluster>

Generates and outputs the kubernetes manifests for the specified cluster.

help <command>

Lists help for any command.

port-forward <local> <remote>

Finds a running pod belonging to this app and forwards the specified remote port to the specified local port.

push

Builds and pushes the docker image to the registry.

status <cluster>

Lists the status of the pods running for the current app and for the specified cluster.

version

Prints the psykube version.

The Psykube YAML

A .psykube.yml is required in the root for each app. This can be overridden with the -f or --file flag on any command.

Template Variables

The .psykube.yml allows for expanding variables using the <<var.name>> template syntax. The following variables are available within the template:

| Var | Description |---|--- | metadata.namespace | The namespace provided with the --namespace flag on the command. | metadata.cluster_name | The name of the cluster. | metadata.name | The name of the application. | env.{name} | An environment variable referenced by name.

Example

ingress:
  host: <<metadata.namespace>>.k8s.example.com

.psykube.yml Reference

You can find a detailed example of the .psykube.yml in reference/.psykube.yml More examples can be found in the example dir.

NOTE: There is also an example .travis.yml file with an example of how to deploy to google container engine.