book

Road to Kubernetes

Name: Road to Kubernetes
Author: Justin Mitchel
ISBN: 9781633438200

by Justin Mitchel

July 2025

Beginner to intermediate

304 pages

8h 38m

English

Manning Publications

Audiobook available

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Road to Kuberentes
copyright
contents
dedication
preface
acknowledgments
about this book
about the author
about the cover illustration
1 Kubernetes and the path to modern deployment
1.1 Anyone can deploy1.2 Our path to deployment1.3 The challenge of dependencies1.4 What do containers do?1.5 The challenges in building and running containers without Kubernetes1.6 What are the fundamental challenges with using Kubernetes?1.7 How does this book teach the technology?

2 Creating the Python and JavaScript web apps
2.1 Designing a basic FastAPI web app in Python2.1.1 Python project setup with virtual environments2.1.2 Hello World with FastAPI2.1.3 Handling multiple routes with FastAPI2.2 Creating a JavaScript web application with Node.js and Express.js2.2.1 Hello World from Express.js2.2.2 Run the Node.js + Express.js app2.2.3 Create a JSON response with Express.js2.3 Tracking code changes with Git2.3.1 Using Git in our projects2.3.2 Ignoring files2.3.3 Tracking files2.3.4 Complete Git repo reboot2.3.5 Git logs and show2.3.6 Fundamental Git commands overview2.4 Pushing code to GitHub2.4.1 Creating a GitHub account2.4.2 Create a Git repository on GitHub2.4.3 Configuring our local git repo for GitHub2.4.4 Rinse and repeat
3 Manual deployment with virtual machines
3.1 Creating and connecting to a remote server3.1.1 Provisioning a virtual machine3.1.2 Connecting via SSH3.2 Serving static websites with NGINX3.2.1 Embrace ephemeral VMs3.2.2 Modify the default NGINX HTML page3.3 Self-hosted remote Git repositories3.3.1 Log in to the server with SSH3.3.2 Creating the bare Git repositories3.3.3 Pushing local code to the remote repo3.3.4 Git hook to check out code3.4 Installing the apps’ dependencies3.4.1 Installing Python 3 and our FastAPI project3.4.2 Installing Node.js and our Express.js app3.4.3 Running the Express.js application3.5 Run multiple applications in the background with Supervisor3.5.1 Installing Supervisor3.5.2 Configure Supervisor for apps3.6 Serve multiple applications with NGINX and a firewall3.6.1 Configuring NGINX as a reverse proxy3.6.2 Installing Uncomplicated Firewall
4 Deploying with GitHub Actions
4.1 Getting started with CI/CD pipelines with GitHub Actions4.1.1 Your first GitHub Actions workflow4.1.2 Creating your first GitHub Actions secret4.1.3 Installing the public SSH key on Akamai Connected Cloud4.1.4 Creating a new virtual machine on Akamai Linode4.1.5 Installing NGINX on a remote server with a GitHub Actions workflow4.2 Virtual machine automation with Ansible4.2.1 GitHub Actions workflow for Ansible4.2.2 Creating your first Ansible Playbook4.2.3 Ansible for our Python app4.2.4 Ansible for our Node.js app
5 Containerizing applications
5.1 Hello World with Docker5.1.1 Running your first container5.1.2 Exposing ports5.1.3 Entering a container5.1.4 Stateless containers5.2 Designing new container images5.2.1 Creating a Dockerfile5.2.2 Running your first container image5.3 Containerizing Python applications5.3.1 Version tags and a Python Dockerfile5.3.2 Creating a Python Dockerfile5.3.3 Ignoring unwanted files in Docker builds5.3.4 Creating and running an entrypoint script5.4 Containerizing Node.js applications5.4.1 The Node.js entrypoint script and .dockerignore file5.4.2 The Node.js Dockerfile5.5 Pushing container images to Docker Hub5.5.1 Your first push to Docker Hub
6 Containers in action
6.1 Building and pushing containers with GitHub Actions6.1.1 Docker login and third-party GitHub Action tools6.1.2 A GitHub Actions workflow for building containers6.2 Managing a container with Docker Compose6.2.1 Why we need Docker Compose6.2.2 Docker Compose for our Python app6.2.3 Docker Compose for our Node.js app6.3 Stateful containers with volumes6.3.1 Using volumes with Docker6.3.2 Using volumes with Docker Compose6.3.3 Built-in volume management with Docker Compose6.4 Networking fundamentals in Docker Compose6.4.1 Container-to-container communication simplified6.4.2 Databases and Docker Compose6.4.3 Environment variables with dotenv in Docker and Docker Compose
7 Deploying containerized applications
7.1 Hello prod, it’s Docker7.1.1 Provisioning a new virtual machine7.1.2 Installing Docker on Ubuntu7.1.3 Installing Docker Compose on Ubuntu7.1.4 Deploying NGINX7.2 Staging containers7.2.1 Dockerfiles for multiple environments7.2.2 Docker Compose for multiple environments7.3 GitHub Actions to deploy production containers7.3.1 Building and hosting a production container7.3.2 Installing Docker and Docker Compose on a virtual machine with GitHub Actions7.3.3 Using GitHub Actions to run Docker Compose in production7.4 The limitations of using Docker Compose for production7.4.1 Scaling containers with Docker Compose
8 Managed Kubernetes Deployment
8.1 Getting started with Kubernetes8.1.1 Self-service or managed Kubernetes?8.1.2 Provisioning a Kubernetes cluster8.1.3 Core concepts and components8.2 Connecting to Kubernetes8.2.1 The Kubernetes Dashboard GUI8.2.2 Installing kubectl8.2.3 Configuring kubectl8.3 Deploy containers to Kubernetes8.3.1 Your first Pod and manifest8.3.2 Your first Service8.3.3 From Pods to Deployments8.3.4 Customize NGINX with ConfigMaps8.3.5 Environment Variables with ConfigMaps and Secrets8.4 Volumes and stateful containers8.4.1 Volumes and Deployments8.4.2 StatefulSets8.4.3 Container-to-container communication within Kubernetes8.4.4 Namespaces to manage cluster resources8.5 Deploy apps to production with Kubernetes8.5.1 LoadBalancer Services8.5.2 Deploying to Kubernetes with GitHub Actions
9 Alternative orchestration tools
9.1 Container orchestration with Docker Swarm9.1.1 Preparing the Docker Swarm Manager9.1.2 Docker Compose for Docker Swarm9.1.3 Start Docker Swarm9.1.4 Deploy a Docker Swarm Stack9.2 HashiCorp Nomad9.2.1 Preparing our Nomad cluster9.2.2 Installing Nomad9.2.3 Configuring the Nomad server9.2.4 Configuring the Nomad Clients9.2.5 Running containers with Nomad jobs
appendix A Installing Python on macOS and Windows
A.1 Python installation for macOSA.2 Python versionA.2.1 Processor: Intel or AppleA.2.2 Download PythonA.3 Python installation for WindowsA.3.1 Verify System InformationA.3.2 Install PythonA.4 Python installation for LinuxA.5 Virtual environments and PythonA.5.1 Creating a test project folderA.5.2 Creating a Virtual EnvironmentA.5.3 Activating a virtual environmentA.5.4 Installing Python packagesA.5.5 Deactivating and reactivating virtual environmentsA.5.6 Recreating virtual environments
appendix B Installing Node.js on macOS and Windows
B.1 Node.js Installation for macOSB.2 Node.js installation for WindowsB.2.1 Verifying system informationB.2.2 Downloading and installing Node.js
appendix C Setting up SSH keys for password-less server entry
C.1 Cross-platform SSH key generationC.1.1 Navigating to your root SSH directoryC.1.2 Manual SSH key generation with ssh-keygenC.1.3 Automating ssh-keygenC.1.4 Verifying the keysC.2 Overwriting SSH keysC.3 Copying the public keyC.4 Installing the SSH public key on a remote hostC.4.1 Manually installing SSH keys with copy and pasteC.4.2 Automatically Installing SSH keys with the ssh-copy-id commandC.4.3 Automatically installing to virtual machines on LinodeC.5 Connect to remote host with a specific SSH keyC.6 Updating or creating SSH config
appendix D Installing and using ngrok
D.1 Installing ngrokD.2 Verify installationD.3 Running ngrok

Content preview from Road to Kubernetes

7 Deploying containerized applications

This chapter covers

Installing Docker on a virtual machine
Building and deploying Docker images to a VM
Using Docker Compose in production
Implementing a CI/CD pipeline
Discussing the limitations of Docker Compose

When we first deployed our applications, we had to install a number of system-level dependencies (e.g., Supervisor, Python, Node.js, etc.) and runtime-specific dependencies (e.g., pip install, npm install). This was true for our local system as well as our remote production virtual machines. These dependencies will always be needed by their very definition, but Docker helps us to manage these dependencies in a more effective way, especially in production.

In production, the primary system-level ...

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Road to Kubernetes

by Justin Mitchel