Commander the parallel SSH utility

What you'll learn
How to build a command line utility in Python
How to manage machines using Paramiko to SSH in Python
How to use Python threading to improve Network I/O Performance
How to upload & download files from hosts using Python SCP

Requirements
You should have Python installed on your machine, but no other experience is required.

Description
Learn to build an Ansible like command line utility called Commander

Commander is a replica of scripts I built while working at companies like PayPal, eBay, and Symantec to help manage & patch thousands of Linux systems and network devices.
In this course you'll learn how to
- Build a command line utility in Python
- Use Python to SSH to Linux machines and run commands.
- Setup sudo for running commands as root
- Use Threading to increase speed by reducing wait time on network i/o
- Upload & Download files to servers via SCP in Python
- And more.
Pre-requisites
Access to machines running SSH OR the ability to sign up for Digital Ocean or another cloud provider (AWS,GCP, etc) to create machines to test with.
Python installed on your machine.
Who is this course for
This course is perfect for
DevOps/SRE/Cloud engineers
who are looking to automate the boring stuff in their day to day lives using
Python & SSH.
If you're using
Ansible
or
Rundeck
today, you can use
Commander
as a foundation to extend and build exactly what you need for your use-cases.
Additionally, this course will be fun for
Python beginners
who want to work on a useful project that teaches you how to build a command line utility and
implement Threading in Python.
This course is intended to be short, sweet and straight to the point.
I look forward to hearing your feedback & seeing what you build with this knowledge.
Who this course is for:
Systems Administrators & Network Engineers who want to manage their devices using Python.
Beginner Python developers who want to build a fun command line utility
Python developers who want to learn how to use Threading to make Python programs faster.

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