kpm 0.12.0

KPM cli

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# KPM

KPM is a tool to deploy and manage applications stack on kubernetes.

KPM provides the glue between kubernetes resources (ReplicatSet, DaemonSet, Secrets...). it defines a package has a composition of kubernetes resources and dependencies to other packages.

## Key concepts

### Simplicity

Keep it simple for both users and packagers.

### Declarative and idempotent

Declare what should be deployed and let the system apply only required changes.

### Reproducible deployment

For production and QA, control of each components is fundamental.
Both, dependency declaration and version control in KPM allows to have a predictable application stack deployment.

### Dependencies management

To propose 'ready-to-deploy' applications, the 'packager' can set a dependency list.

### Patch/Paramaterization

KPM encourages to use and reuse directly the 'upstream' package of a component and adapt it to its own requirement:
- <b>Templates:</b> quickly replace values in a resource via jinja2 templates.
- <b>Patch:</b> While template is good, it's not enough. Sometime the value to be edited is not parametrized. In such case, KPM proposes to apply a 'patch' on the resource

### Packages Hub
Quickly compose an application by searching and pick existing components from a registry.

## Quick start

### Deploy application

In this example we will deploy [rocket.chat](https://github.com/RocketChat/Rocket.Chat) an opensource webchat platform:

```
$ pip install kpm
$ kpm deploy ant31/rocketchat --namespace rocket-chat
-> Deploying ant31/rocketchat
app version type name namespace status
------------------ ------- ---- ------------ ----------- --------
ant31/mongodb 1.0.0 svc mongodb rktchat changed
ant31/mongodb 1.0.0 rc mongodb rktchat changed
ant31/rocketchat 1.2.0 svc rocketchat rktchat changed
ant31/rocketchat 1.2.0 rc rocketchat rktchat changed
```

## Install kpm

##### From Pypi

kpm is a python2 package and available on pypi
```
$ sudo pip install kpm -U
````

##### From git

```
git clone https://github.com/kubespray/kpm.git kpm-cli
cd kpm-cli
sudo make install
```

### Configuration

KPM uses `kubectl` to communicate with the kubernetes cluster.
Check if the cluster is accessible:
```bash
$ kubectl version
Client Version: version.Info{Major:"1", Minor:"1", GitVersion:"v1.1.4", GitCommit:"a5949fea3a91d6a50f40a5684e05879080a4c61d", GitTreeState:"clean"}
Server Version: version.Info{Major:"1", Minor:"1", GitVersion:"v1.1.4", GitCommit:"a5949fea3a91d6a50f40a5684e05879080a4c61d", GitTreeState:"clean"}

```

### Customize an existing package
1. Create a new package
2. Edit manifest
3. Change variables
4. Patch custom metric
5. Upload package
6. login
7. push
8.Test

## Account registration
### Signup
### Login/Logout

## Search and deploy a package
### List a user package
#### Show/Pull
### deploy

## Create a new package
The quickest way to get started is to use the command `new`:

```
kpm new namespace/packagename [--with-comments]
```
It creates the directory namespace/packagename

#### Directory structure
A package is composed of a `templates` directory and a `manifest.yaml`.
```
.
├── manifest.yaml
└── templates
├── heapster-rc.yaml
└── heapster-svc.yaml
```
Optionaly, it's possible to add a `README.md` and a `LICENSE`.

#### Templates
The `templates` directory contains the kubernetes resources to deploy.
It accepts every kind of resources (rc,secrets,pods,svc...).

Resources can be templated with Jinja2.

> We recommend to parametrize only values that should be overrided.
> Having a very light templated resources improve readability and quickly point to users which values are
> important to look at and change. User can use 'patch' to add their custom values.

You can declare the deploy order inside the `manifest.yaml`

#### Manifest
The `manifest.yaml` contains the following keys:

- package: metadata around the package and the packager
- variables: map jinja2 variables to default value
- resources: the list of resources, `file` refers to a filename inside the 'template' directory
- deploy: list the dependencies, a special keyword `$self` indicate to deploy current package.

```yaml
package:
name: ant31/heapster
author: "Antoine Legrand <[e-mail]>"
version: 0.18.2
description: Kubernetes data
license: MIT

variables:
namespace: kube-system
replicas: 1
image: "gcr.io/google_containers/heapster:v0.18.2"
svc_type: "NodePort"

resources:
- file: heapster-svc.yaml
name: heapster
type: svc

- file: heapster-rc.yaml
name: heapster
type: rc

deploy:
- name: $self
```
#### Publish

## Compose a package
### Dependency
#### Show manifest
#### variables
#### Patch
#### Shards

## Clustered applications/Shards
### Introduction
### Sharded: yes
### Shard list


=======
History
=======

0.1.0 (2016-2-22)
------------------

* First release on PyPI.