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CLI administration of WSGI servers - create-node, setup-node, deploy
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-*- markdown -*-

A WSGI deployment tool - stop being a sysadmin


By formalizing some project conventions and the server stack, in 
theory large chunks of the deployment process can be automated.

"How does it work?" - With configuration files and a command 
line interface.

"What can I do?" - Create servers with your cloud provider and deploy 
all your WSGI applications in very few steps.

"What more can I do?" - You define main domains and forward domains, 
number of server workers per project, and which services you want 
kraftwerk to provide.

"What are kraftwerk services?" - They're SQL databases, key-value 
storages and good old writable folders. Kraftwerk defines them 
programmatically so you can setup and teardown per project 

"Okay cool - what else can I do?" - Projects can dump and load all 
the data for each service. So you can backup and restore from the 
command line. Not just SQL. Also user uploaded files for example. 

"Anything else?" - If you have the same project on two nodes you can
transfer the services state of one node to another. So if you have 
interesting live data on one node you can load that into a stage node
for example, with one command.

For examples and documentation see

Design notes, terminology

The admin installs kraftwerk on his own computer. The admin 
pushes projects to nodes. Server nodes do not require a kraftwerk 
library. Server nodes are referred to by their hostname (can be 
anything because kraftwerk appends your /etc/hosts). 

Kraftwerk also helps you start WSGI projects (although it is 
completely agnostic to frameworks or library requirements). Project 
root folders are virtualenvs. Project root folders contain a Python 
package which would be your webapp. Projects include a kraftwerk.yaml 
config too where you can specify domains and various things.

The kraftwerk cli (command line interface) is path aware. If executed 
inside a project directory it interacts with that project.

Most server scripts and files in the project skeleton can be tailored 
and changed by supplying a secondary template directory in the admin 
config. This means you can tweak default parameter and add packages 
to the system install procedure among other things. Currently there 
is no way to change the project skeleton structure although this is a 
possible planned feature.

Kraftwerk supplies additional services to projects that request them.
These are databases, key-value storages, cache, queues and certain 
I/O. Services are coupled with a `` template script run each 
time a new project is deployed. Each service dumps and loads data. See
commands documentation.

Development vs. stage vs. live

The goal of a stage deployment is to mirror "real-world" application 
conditions to decrease the chances of fucking up once an application 
is deployed to a live server. To this end kraftwerk provides the 
plumbing for a convenient and quick stage test. Secondarily stage 
deployments are useful for client previews and internal testing.

Kraftwerk is agnostic to the development environment. Kraftwerk only 
cares about config and a Python WSGI codebase. Additionally kraftwerk 
wants to make it easy to bundle website data for easy backup and 
restore (refer to "Services" section).

You may run the setup-node against any ubuntu box with root SSH 
access. You are not stuck with libcloud. (I even have it running on 
Debian Squeeze and a local VirtualBox for local testing).

Server Stack

runit, nginx, gunicorn, virtualenv
Python stack: Crypto, PIL, DB drivers

Of these gunicorn is the most interesting choice. Kraftwerk is making 
a big bet on this horse. It simplifies configuration and setup 
drastically. It also performs well with long-requests (WebSockets).

`web` user and a `/web` directory to contain project code and uploads

Consult the `` script template for details.

Known issues

Kraftwerk `` doesn't pick up the libcloud development 
dependency automatically. To install all dependencies run 
`pip install -r kraftwerk/REQUIREMENTS`.


+ This project is very similar to Silver Lining by Ian Bicking - See 
  FAQ section on
+ Heroku
+ Markdoc's argparse / YAML config
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