
This change adds the capability to satori to do data plane discovery on Windows devices. For that, a class has been added that mirrors the functionality of satori/ssh.py and utilizes a "3rd party" script (satori/contrib/psexec.py) which is called via subprocess.Popen(). Further to that, an SSH tunneling class has been put in place that uses paramiko to establish a tunnel (similar to running ssh -L from a shell). requirements.txt has been extended to include impacket which satori/contrib/psexec.py imports. Move support for PoSH-Ohai into its own provider module. Raise UnsupportedPlatform exceptions in ohai_solo.py when the client is non-linux, and raise the same exception in posh_ohai.py when the client is non-windows. Co-Authored-By: Nico Engelen <engelen.nico@googlemail.com> Co-Authored-By: Samuel Stavinoha <samuel.stavinoha@rackspace.com> Change-Id: I7a94eea9446bc7f57843407fb98880222f7af6af Implements: blueprint windows-support
Satori - Configuration Discovery
Satori provides configuration discovery for existing infrastructure. It is a related OpenStack project.
The charter for the project is to focus narrowly on discovering pre-existing infrastructure and installed or running software. For example, given a URL and some credentials, discover which resources (load balancer and servers) the URL is hosted on and what software is running on those servers.
Configuration discovery output could be used for:
- Configuration analysis (ex. compared against a library of best practices)
- Configuration monitoring (ex. has the configuration changed?)
- Troubleshooting
- Heat Template generation
- Solum Application creation/import
- Creation of Chef recipes/cookbooks, Puppet modules, Ansible playbooks, setup scripts, etc..
Getting Started
Run discovery on the local system:
$ pip install satori
$ satori localhost --system-info=ohai-solo -F json
# Installs and runs ohai-solo, outputs the data as JSON
Run against a URL with OpenStack credentials:
$ pip install satori
$ satori https://www.foo.com
Address:
www.foo.com resolves to IPv4 address 192.0.2.24
Domain: foo.com
Registrar: TUCOWS, INC.
Nameservers: NS1.DIGIMEDIA.COM, NS2.DIGIMEDIA.COM
Expires: 457 days
Host not found
Deeper discovery is available if the network location (IP or hostname) is hosted on an OpenStack cloud tenant that Satori can access.
Cloud settings can be passed in on the command line or via OpenStack tenant environment variables.
Run with OpenStack credentials:
$ satori 192.0.2.24 --os-username yourname --os-password yadayadayada --os-tenant-name myproject --os-auth-url http://...
Or:
$ export OS_USERNAME=yourname
$ export OS_PASSWORD=yadayadayada
$ export OS_TENANT_NAME=myproject
$ export OS_AUTH_URL=http://...
$ satori foo.com
Notice the discovery result now contains a Host
section:
$ satori 192.0.2.24 --os-username yourname --os-password yadayadayada --os-tenant-name myproject --os-auth-url http://...
Host:
192.0.2.24 is hosted on a Nova Instance
Instance Information:
URI: https://nova.api.somecloud.com/v2/111222/servers/d9119040-f767-414
1-95a4-d4dbf452363a
Name: sampleserver01.foo.com
ID: d9119040-f767-4141-95a4-d4dbf452363a
ip-addresses:
public:
::ffff:404:404
192.0.2.24
private:
10.1.1.156
System Information:
Ubuntu 12.04 installed
Server was rebooted 11 days, 22 hours ago
/dev/xvda1 is using 9% of its inodes.
Running Services:
httpd on 127.0.0.1:8080
varnishd on 0.0.0.0:80
sshd on 0.0.0.0:22
httpd:
Using 7 of 100 MaxClients
Documentation
Additional documentation is located in the doc/
directory and is hosted at http://satori.readthedocs.org/.
Start Hacking
We recommend using a virtualenv to install the client. This description uses the install virtualenv script to create the virtualenv:
$ python tools/install_venv.py
$ source .venv/bin/activate
$ python setup.py develop
Unit tests can be ran simply by running:
$ tox
# or, just style checks
$ tox -e pep8
# or, just python 2.7 checks
$ tox -e py27
Checking test coverage:
# Run tests with coverage
$ tox -ecover
# generate the report
$ coverage html -d covhtml -i
# open it in a broweser
$ open covhtml/index.html