Skip to content

pyinfra automates infrastructure super fast at massive scale. It can be used for ad-hoc command execution, service deployment, configuration management and more.

License

Notifications You must be signed in to change notification settings

CoronaWhy/pyinfra

 
 

Repository files navigation

PyPI version PyPi downloads Docs status Execute tests status Codecov Coverage MIT Licensed

pyinfra automates/provisions/manages/deploys infrastructure super fast at massive scale. It can be used for ad-hoc command execution, service deployment, configuration management and more. Core design features include:

  • 🚀 Super fast execution over thousands of hosts with predictable performance.
  • 🚨 Instant debugging with stdout & stderr output on error or as required (-v|-vv|-vvv).
  • 📦 Extendable with any Python package as configured & written in standard Python.
  • 💻 Agentless execution against SSH/Docker/subprocess/winrm hosts.
  • ❗️ Two stage process that enables --dry runs before executing any changes.
  • 🔌 Integrated with Docker, Vagrant/Mech & Ansible out of the box.

When you run pyinfra you'll see something like (non animated version):

Quickstart

pyinfra can be installed via pip:

pip install pyinfra

Now you can execute commands & operations over SSH:

# Execute an arbitrary shell command
pyinfra my-server.net exec -- echo "hello world"

# Install iftop apt package if not present
pyinfra my-server.net apt.packages iftop sudo=true update=true

These can then be saved to a deploy file, let's call it deploy.py:

from pyinfra.operations import apt

apt.packages(
    name='Ensure iftop is installed',
    packages=['iftop'],
    sudo=True,
    update=True,
)

And executed with:

pyinfra my-server.net deploy.py

or

pyinfra @docker/ubuntu deploy.py

About

pyinfra automates infrastructure super fast at massive scale. It can be used for ad-hoc command execution, service deployment, configuration management and more.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 99.6%
  • Other 0.4%