Book Image

Windows Subsystem for Linux 2 (WSL 2) Tips, Tricks, and Techniques

By : Stuart Leeks
Book Image

Windows Subsystem for Linux 2 (WSL 2) Tips, Tricks, and Techniques

By: Stuart Leeks

Overview of this book

Windows Subsystem for Linux (WSL) allows you to run native Linux tools alongside traditional Windows applications. Whether you’re developing applications across multiple operating systems or looking to add more tools to your Windows environment, WSL offers endless possibilities. You’ll start by understanding what WSL is and learn how to install and configure WSL along with different Linux distros. Next, you'll learn techniques that allow you to work across both Windows and Linux environments. You’ll discover how to install and customize the new Windows Terminal. We'll also show you how to work with code in WSL using Visual Studio Code (VS Code). In addition to this, you’ll explore how to work with containers with Docker and Kubernetes, and how to containerize a development environment using VS Code. While Microsoft has announced support for GPU and GUI applications in an upcoming release of WSL, at the time of writing these features are either not available or only in early preview releases. This book focuses on the stable, released features of WSL and giving you a solid understanding of the amazing techniques that you can use with WSL today. By the end of this book, you’ll be able to configure WSL and Windows Terminal to suit your preferences, and productively use Visual Studio Code for developing applications with WSL.
Table of Contents (16 chapters)
1
Section 1: Introduction, Installation, and Configuration
5
Section 2:Windows and Linux – A Winning Combination
11
Section 3: Developing with the Windows Subsystem for Linux

Running a web application in Kubernetes

Kubernetes introduces a few new terms, the first of these is a pod. Pods are the way to run a container in Kubernetes. When we ask Kubernetes to run a pod, we specify some details, such as the image we want it to run. Orchestrators such as Kubernetes are designed to enable us to run multiple components as part of a system, including being able to scale out the number of instances of components. To help serve this goal, Kubernetes adds another concept called deployments. Deployments are built on pods and allow us to specify how many instances of the corresponding pod we want Kubernetes to run, and this value can be changed dynamically, enabling us to scale out (and in) our application.

We'll take a look at creating a deployment in a moment, but first, we need to create a new tag for our sample application. When we built the Docker image previously, we used the simple-python-app tag. Each tag has one or more associated versions and since...