Fabric presentation
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This document introduces Fabric, an automation tool written in Python that allows users to execute commands on remote servers. It provides an overview of what Fabric is, why it was created, its prerequisites, and how to get started using its core functionality through demos and examples. Key benefits highlighted are that Fabric allows automation with less code than shell scripts and mistakes than manual work, while also reducing the time needed to manage multiple servers. Alternatives like Ansible, Salt, Puppet and Chef are briefly discussed and why Fabric may be preferable for certain use cases.
Fabric presentation
- 1. Introduction to Fabric By Suprith Gangawar QE, RedHat sgangawa@redhat.com
- 3. To be Covered What Why Pre-Requisites How Demo Why not Others?
- 4. What is Fabric? Fabric is a command line tool for streamlining the use of SSH for application deployment or system administration tasks
- 5. What Automation tool Written in python Lets you execute arbitrary python functions Library of sub routines Application deployment tool
- 6. Why? Cmake Jam Makeit Make Scons Ant Salt Chef Puppet And..
- 7. Fabric's Good Points Less codes than shell scripts Less mistakes than handwork Less time to operate many servers
- 8. Pre Requisites Python 2.5+ Python-setuptools (optional but preferred) Pip easy_install (in case you dont use 'pip') gcc
- 9. Fabric's Basics Install $ pip install fabric Setting $ make fabfile.py Run $ fab <Option><Fab file>
- 10. Fabric API's Core API Sudo Run Color output functions Network Context Managers Contrib API User I/O Modifying remote files Django Integration
- 11. Core Functionality local() - Run commands locally Run() - Run command remotely Sudo() - Run a command remotely as another user Put() - Copy a file from local to remote Get() - Copy a file from remote to local
- 12. Demo..
- 13. Why not others? 1. Ansible is not supported on windows 2. Ansible is for larger deployments unlike fabric 3. Salt does not deal with interactivity 4. Salt eats your logs giving you a very small feedback (states/module outputs) 5. Puppet: Solid knowledge of Ruby is highly recommended 6. Chef: Not 'complete' as compared to puppet
- 15. Stay Tuned.. Official Twitter Account: @pyfabric IRC (Freenode): #fabric Mailing list
- 16. Thank you