DevOps Engineer Tutorials

In this challenge, you'll step into the role of a Digital Architect, tasked with organizing a chaotic project structure using essential Linux file and directory management commands.

Ncdu, a disk usage analyzer, to efficiently manage and monitor storage consumption in Linux environments.

In this lab, you will learn how to safely preview and execute the destruction of resources managed by Terraform, ensuring a clean and controlled teardown of your infrastructure.

In this lab, you will learn how to use Terraform output values to extract meaningful information from your infrastructure configuration, making it easier to access and use.

In this lab, you will learn how to use Terraform output values to extract meaningful information from your infrastructure configuration, making it easier to access and use.

In this lab, you will learn how to declare, define, and use variables in Terraform to make your configurations more flexible and reusable.

In this lab, you will learn how to install Terraform on an Ubuntu system by adding the official HashiCorp repository and using the apt package manager.

In this lab, you will learn how to manage Terraform state using various `terraform state` subcommands to inspect, list, move, and refresh resources.

The webbrowser module in Python provides a simple interface to open web browsers, display HTML documents, and navigate the web. This practical lab will walk you through the basics of using the webbrowser package, from opening a URL in a new tab to executing a Google search directly from the Python console.

Itertools is a powerful Python module that provides a set of fast, memory-efficient, and flexible tools for working with iterators. These tools are handy for solving a variety of combinatorial problems and can save you time and effort when dealing with large data sets. In this tutorial, we'll explore some key functions of the Itertools module and provide examples to help you understand their use.

In this tutorial, you will learn how to use the Python typing module to add type hints to your code. Type hints help make your code more readable and maintainable by explicitly indicating your functions' expected input and output types.

In this tutorial, we will cover the sequence magic methods in Python. These methods allow you to customize the behavior of your own classes when used in different operations, such as getting the length of an object, accessing items, slicing, and iteration.

Python multiprocessing is a powerful tool that can significantly speed up the execution of Python programs that require high processing power. In this lab, you will learn about Python multiprocessing and how to use it to run processes in parallel. We will start with simple examples and gradually move towards more complex ones.

This lab provides a temporary VM for enabling sherlock-project/sherlock to search for social media accounts.

In this tutorial, we will explore Python's built-in collections module. The collections module is a powerful library that offers a variety of container data types that extend the functionality of Python's built-in containers such as lists, tuples, and dictionaries.

In this tutorial, we will explore the basic magic methods in Python. Magic methods, also known as 'dunder' methods (double underscore methods), allow you to define how Python objects behave in certain situations, enabling advanced and customized object manipulation.

In this tutorial, we will learn how to use Python's threading module to run multiple threads of execution concurrently.

In this tutorial, we will cover Python magic methods related to numeric operations. Magic methods are special methods in Python classes that start and end with double underscores (__). They are also known as 'dunder' methods (double underscores).