Ansible is an open-source tool that uses playbooks to enable configuration management, software provisioning, and application deployment. It is primarily
Ansible is an open-source tool that uses playbooks to enable configuration management, software provisioning, and application deployment. It is primarily written in Python and was released in 2012. Ever since then, it has saved countless hours of often menial work of deploying and maintaining IT infrastructure. Overall, Ansible is very consistent, secure, reliable, and it requires a minimal learning curve. Simply put, Ansible is a powerful tool for automating apps and infrastructure. You can read more about general Ansible information in our recently published article.
Ansible Playbooks are sets of “directives” (or plays) that a user can send to a single target server or multiple servers. They are at the heart of Ansible itself and enable automating infrastructure management. Ansible Playbooks offer excellent repeatability and re-usability in managing and deploying simple or complex applications, often on a significant amount of machines. As an analogy, imagine an NBA team using various playbooks they created for specific situations on the game day. Things are similar to IT departments within the company. Ansible Playbooks enable them to deploy multiple “plays” for particular purposes.
Ansible Playbooks are expressed (written) in YAML (Yet Another Markup Language). Ansible creators opted for YAML since it is relatively easy for humans to write it, read it, and understand it (compared to XML or JSON, for example). It is important to note that YAML is a space indented format for representing data. YAML is a strict language, and the file starts with — (3 hyphens).
Overall, the Ansible playbook is a single YAML file. Inside the playbook, we have individual plays (we can have one or multiple plays in a single playbook file), which define a set of tasks that will be run on servers. In conclusion, a task is an action that will be performed on the target hostname/s (executing a command, installing a package, etc.)
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like __init__, __call__, __str__ etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).
The OS module is a python module that provides the interface for interacting with the underlying operating system that Python is running.