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Home > Cloud & Networking > Containerization > Docker and Kubernetes Masterclass: From Beginner to Advanced
Docker and Kubernetes Masterclass: From Beginner to Advanced
Docker and Kubernetes Masterclass: From Beginner to Advanced

Docker and Kubernetes Masterclass: From Beginner to Advanced: Master containerization and orchestration to build deploy and scale modern cloud applications

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$129.99
Video Nov 2024 32hrs 41mins 1st Edition
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Key benefits

  • Comprehensive coverage of Docker and Kubernetes for end-to-end workflows
  • Hands-on projects including real-world deployments for practical learning
  • Guidance on production-ready setups using advanced cloud platforms

Description

Take your technical expertise to the next level by diving into the world of containers and orchestration. This hands-on course starts with Docker fundamentals, guiding you through containerization concepts, setup, and real-world use cases. You'll gain mastery over Docker images, volumes, networks, and advanced topics like multistage builds and resource management, ensuring you're prepared for diverse scenarios. Once proficient in Docker, you'll seamlessly transition into Kubernetes, the industry's leading orchestration platform. Learn how to deploy, manage, and scale applications with Kubernetes, using YAML manifests, ReplicaSets, Deployments, and Services. From mastering resource quotas to creating secure, production-grade clusters, this course leaves no stone unturned. Practical projects anchor every stage of your learning journey, from containerizing Express and React apps to deploying production-ready solutions on platforms like Google Kubernetes Engine. By the end, you'll possess a deep, actionable understanding of Docker and Kubernetes, ready to tackle real-world deployment challenges.

Who is this book for?

This course is designed for software developers, DevOps engineers, and system administrators who want to master containerization and orchestration using Docker and Kubernetes. It is also ideal for IT professionals looking to enhance their skills in deploying and scaling modern applications in cloud environments. While prior experience with command-line tools and basic programming knowledge is helpful, it is not mandatory, making the course accessible to motivated learners from diverse technical backgrounds.

What you will learn

  • Build and manage containers using Docker efficiently
  • Create optimized Dockerfiles for reusable container images
  • Deploy scalable applications using Kubernetes orchestration
  • Configure networking and storage for containerized systems
  • Implement secure practices in Kubernetes cluster management
  • Monitor and troubleshoot applications in Docker and Kubernetes

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 21, 2024
Length: 32hrs 41mins
Edition : 1st
Language : English
ISBN-13 : 9781837025077
Category :
Cloud & Networking
Concepts :
Containerization
Tools :
Kubernetes

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Product Details

Publication date : Nov 21, 2024
Length: 32hrs 41mins
Edition : 1st
Language : English
ISBN-13 : 9781837025077
Category :
Cloud & Networking
Concepts :
Containerization
Tools :
Kubernetes

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Table of Contents

28 Chapters
Getting Started with the Course Chevron down icon Chevron up icon
Welcome!
Making the Most of This Course
Setting Expectations
[Docker] Introduction to Containers Chevron down icon Chevron up icon
Overview of the Section
Why Use Containers?
Comparing Containers and Virtual Machines
Docker Architecture and Key Components
[Docker] Setting Up Docker and Required Tools Chevron down icon Chevron up icon
Overview of the Section
Installing Docker on MacOS [MacOS Users]
Installing Docker on Linux [Linux Users]
Running Docker Without Sudo [Linux Users]
Setting Up Windows Subsystem for Linux (WSL) [Windows Users]
Key Features of Windows Subsystem for Linux [Windows Users]
Installing Docker on Windows [Windows Users]
Running Docker in WSL [Windows Users]
Exploring Play with Docker
Installing NodeJS
Installing Postman
Installing Visual Studio Code
[Docker] Running Containers Using Docker Chevron down icon Chevron up icon
Overview of the Section
Lab: Running Your First Container
Exploring the Container Lifecycle
Lab: Using the Docker CLI - Part 1
Lab: Using the Docker CLI - Part 2
Lab: Getting Help with the Docker CLI
[Docker] Project - Customizing NGINX Pages Chevron down icon Chevron up icon
Overview of the Project
Running NGINX Containers
Customizing Content Inside the NGINX Container
Wrapping Up the Project
[Docker] Introduction to Docker Images Chevron down icon Chevron up icon
Overview of the Section
What Are Docker Images?
Working with Container Registries
Lab: Exploring DockerHub
Lab: Logging Into DockerHub via Docker CLI
Lab: Managing Docker Images with the CLI
Introduction to Dockerfiles
Lab: Creating a Dockerfile for Nginx
Lab: Adding Local Files to Our Docker Image
Lab: Understanding the Difference Between Images and Containers
[Docker] Project - Containerize an Express App Chevron down icon Chevron up icon
Project Overview
Building a Hello World Express App
Saving and Returning Users in Memory
Testing the Users App
Dockerizing Our Express App
Exploring Container Interactions and Project Cleanup
[Docker] In-Depth Look at Docker Images Chevron down icon Chevron up icon
Overview of the Section
Lab: Understanding Docker's Layered Architecture
Lab: Exploring Build Contexts
Lab: Using Dockerignore to Skip Files
Lab: Introduction to Environment Variables
Lab: Setting Environment Variables via the CLI
Lab: Setting Environment Variables via Files
Lab: CMD vs. ENTRYPOINT in Dockerfiles
Introduction to Distroless Images
Lab: Introduction to Multistage Dockerfiles
Lab: Multistage Dockerfiles and Distroless Images in Practice
Lab: Adding Typescript to the Express App
Lab: Updating Dockerfile to Transpile Typescript Code
Lab: Optimizing Docker Images - Base Images
Lab: Optimizing Docker Images - Instruction Order
Lab: Optimizing Docker Images - Managing Dependencies
Lab: Optimizing Our Typescript Dockerfile
[Docker] Project - Containerize React App Chevron down icon Chevron up icon
Project Overview
Setting Up the React App
Building and Serving the React App
Creating a Dockerfile for Our React App - Part 1
Creating a Dockerfile for Our React App - Part 2
[Docker] Volumes and Data Persistence Chevron down icon Chevron up icon
Overview of the Section
Lab: Understanding the Need for Volumes
Introduction to Docker Volumes
Lab: Working with Bind Mounts
Lab: Using Named Volumes
Lab: Managing Docker Volumes with the CLI
[Docker] Advanced Docker Topics - Resource Limits, Restart Policies, and Networking Chevron down icon Chevron up icon
Overview of the Section
Lab: Setting CPU Limits for Containers
Lab: Setting Memory Limits for Containers
Lab: Working with Restart Policies
Introduction to Networking in Docker
Lab: Using the Default Bridge Network
Lab: Working with User-Defined Networks
Lab: Using the Host Network
[Docker] Project - Code and Deploy a Key-Value App with Data Persistence Chevron down icon Chevron up icon
Project Overview
Running a MongoDB Server
Adding Root Credentials to MongoDB
Setting Credentials for the Key-Value Database
Defining Ports, Networks, and Volumes
Enhancing the Structure of Utility Scripts
Setting Up the Express App
Dockerizing the Express App
Creating Scripts to Initialize the Backend Container
Adding Hot Reloading with Nodemon
Defining the API Routes
Creating and Retrieving Key-Value Pairs
Updating and Deleting Key-Value Pairs
Testing the App and Final Cleanup
[Docker] Docker Compose Chevron down icon Chevron up icon
Overview of the Section
Overview of Docker Compose
Comparing Docker-Compose and Compose CLI Commands
Lab: Running MongoDB with Docker Compose
Lab: Using Environment Variables in Docker Compose
Lab: Working with Bind Mounts in Docker Compose
Lab: Managing Volumes and Networks in Docker Compose
Lab: Adding a Backend Service to the Docker Compose File
Lab: Handling Service Dependencies in Docker Compose
Lab: Hot Reloading and File Watching
Lab: Using Docker Compose CLI
Lab: Getting Help with Docker Compose CLI
[Docker] Project - Code and Deploy a Notes App with Docker Compose Chevron down icon Chevron up icon
Project Overview
Setting Up NPM Projects
Dockerizing the Notebooks Backend
Configuring Docker Compose for Notebooks Services
Setting Up Docker Compose for Notes Services
Using Multistage Builds for Our Images
Merging Multiple Projects in Docker Compose
Implementing the NGINX Reverse Proxy
Establishing Connections between Services
Setting Up Models and Routes for the Notebooks Service
Creating and Retrieving Notebooks
Updating and Deleting Notebooks
Refactoring the Code
Implementing Routes and Business Logic in the Notes Backend
Storing Notebook IDs in the Notes Service - Part 1
Storing Notebook IDs in the Notes Service - Part 2
Storing Notebook IDs in the Notes Service - Part 3
[Kubernetes] High-Level Overview Chevron down icon Chevron up icon
Overview of the Section
Why Choose Kubernetes?
Introduction to Kubernetes
Understanding Kubernetes Architecture
The Control Plane in Kubernetes
The Data Plane in Kubernetes
The kubectl Command-Line Interface
[Kubernetes] Installing Tools Chevron down icon Chevron up icon
Installing Kubectl on MacOS [MacOS Users]
Installing Minikube on MacOS [MacOS Users]
Installing Kubectl on Linux [Linux Users]
Installing Minikube on Linux [Linux Users]
Installing Kubectl on Windows Subsystem for Linux (WSL) [Windows Users]
Installing Minikube on Windows Subsystem for Linux (WSL) [Windows Users]
[Kubernetes] Running Containers with Kubernetes Chevron down icon Chevron up icon
Overview of the Section
Introduction to Pods
Understanding the Pod Lifecycle
Lab: Creating Pods with Kubectl
Lab: Managing Pods with Kubectl
Lab: Exposing Pods with Services
Lab: Color API - Implement v1.0.0
Lab: From Dockerfiles to Pods
[Kubernetes] Object Management and YAML Manifests Chevron down icon Chevron up icon
Overview of the Section
Managing Objects in Kubernetes
Working with Kubernetes Manifest Files
Lab: Using Imperative Commands - Part 1
Lab: Using Imperative Commands - Part 2
Lab: Generating Kubernetes Manifests with kubectl
Lab: Shortcomings of Imperative Commands with Configuration Files
Lab: Managing Objects Declaratively in Kubernetes
Lab: Migrating from Imperative to Declarative Object Management
Lab: Creating Multiple Kubernetes Manifests in a Single YAML File
[Kubernetes] Working with ReplicaSets and Deployments Chevron down icon Chevron up icon
Overview of the Section
Understanding ReplicaSets
Lab: Creating and Managing ReplicaSets
Lab: Updating Pods with ReplicaSets - Limitations
Lab: Managing Existing Pods with ReplicaSets - Limitations
Introduction to Deployments
Lab: Creating and Managing Deployments
Lab: Updating the Pod Template in a Deployment
Lab: Understanding Deployment Rollouts
Lab: Scaling Deployments with Kubectl
Lab: Troubleshooting Failed Rollouts
[Kubernetes] In-Depth Look at Kubernetes Services Chevron down icon Chevron up icon
Overview of the Section
Introduction to Services in Kubernetes
Lab: Color API - Implement v1.1.0: Adding Hostname Information
Lab: Traffic Generator - Implement v1.0.0
Lab: Deploying the Color API and Traffic Generator
Lab: Working with ClusterIP Services
Lab: Working with NodePort Services
Lab: Using NodePort Services in Linux
Lab: Working with ExternalName Services
[Kubernetes] Managing Kubernetes Resources Chevron down icon Chevron up icon
Overview of the Section
Understanding Labels and Selectors
Lab: Using Labels and Selectors in Kubectl
Lab: Selecting Objects with MatchLabels and MatchExpressions
Understanding Annotations in Kubernetes
Introduction to Kubernetes Namespaces
Lab: Creating and Managing Namespaces
Lab: Cross-Namespace Service Communication
Introduction to Resource Quotas, Requests, and Limits
Lab: Setting Up Resource Quotas
Lab: Setting Resource Requests and Limits
Lab: Managing Rollouts, Resource Requests, and Limits
Startup, Liveness, and Readiness Probes
Lab: Color API - Implement v1.2.0: Adding Health Endpoints
Lab: Working with Startup Probes
Lab: Color API - Implement v1.2.1: Adding a Dedicated Startup Endpoint
Lab: Working with Liveness Probes
Lab: Working with Readiness Probes
[Kubernetes] Storage and Data Persistence Chevron down icon Chevron up icon
Overview of the Section
Introduction to Docker Volumes
Understanding EmptyDir and Local Volumes
Lab: Using EmptyDir Ephemeral Storage
Introduction to Persistent Volume Claims
Lab: Creating Persistent Volumes and Persistent Volume Claims
Lab: Mounting Volumes in Pods and Containers
Lab: Deleting Persistent Volumes and Persistent Volume Claims
Lab: Dynamically Provisioning Persistent Volumes
Introduction to StatefulSets in Kubernetes
Lab: Creating Persistent Volumes with StatefulSets
Lab: Deploying a StatefulSet
Lab: StatefulSets with Dynamic Volume Provisioning
Lab: Using Headless Services
[Kubernetes] Managing Configuration and Secrets Chevron down icon Chevron up icon
Overview of the Section
Introduction to ConfigMaps in Kubernetes
Lab: Color API - Implement v1.3.0: Receiving External Color Information
Lab: Passing Information from ConfigMaps via Environment Variables
Lab: Mounting ConfigMaps as Volumes
Introduction to Secrets in Kubernetes
Lab: Passing Information from Secrets via Environment Variables
Lab: Mounting Secrets as Volumes
[Kubernetes] Project - Deploying a MongoDB Database Chevron down icon Chevron up icon
Overview of the Project
Creating Database Credentials
Creating a Headless Service and ConfigMaps
Deploying the StatefulSet
Deploying and Validating the StatefulSet
Testing StatefulSet Scaling
Color API - Implement v2.0.0: Code Refactor
Color API - Implement v2.0.0: Persisting Data in MongoDB
Color API - Implement v2.0.0: Adding Database Connection Logic
Color API - Implement v2.0.0: Defining Routes for Business Logic
Deploying the New Color API Version
Wrapping Up and Cleaning Up the Project
[Kubernetes] Security Foundations Chevron down icon Chevron up icon
Overview of the Section
Introduction to Kubernetes Security
Understanding Role-Based Access Control (RBAC)
Lab: Exploring Minikube's Roles and ClusterRoles
Understanding the Kubernetes API
Lab: Exploring Kubernetes API Resources
Lab: Creating Two Users: Alice and Bob
Lab: Configuring Access Credentials for Alice and Bob
Lab: Setting Up Permissions to Read Pods
Lab: Using ClusterRoles for Cluster-Wide Permissions
Lab: Exploring Subresources and Permissions
Introduction to Service Accounts in Kubernetes
Lab: Working with Default Service Accounts
Lab: Creating Custom Service Accounts
Lab: RBAC Clean-Up
Introduction to Network Policies in Kubernetes
Calico vs. Native Kubernetes Network Policies
Lab: Denying All Ingress Traffic
Lab: Allowing Traffic Between Specific Pods
Lab: Working with Pod Selectors
Lab: Combining Pod Selectors
Lab: Handling Egress Traffic
Lab: Working with Network Policies and Namespaces
Introduction to Pod Security Standards (PSS)
Lab: Applying Pod Security Standards
Lab: Exploring the Pod Security Standards Documentation
[Kubernetes] Using Kustomize Chevron down icon Chevron up icon
Overview of the Section
Introduction to Kustomize
Lab: Building Our First Kustomize Project
Understanding Bases and Overlays
Lab: Creating Dev and Prod Overlays
Introduction to Transformations
Lab: Working with Transformations
Lab: Generating ConfigMaps
Lab: Generating Secrets
Lab: Introduction to Patching in Kustomize
Lab: Using Strategic Merge Patches
Lab: Using JSON Patches
[Kubernetes] Project - Deploying the Color API Application to Google Kubernetes Engine (GKE) Chevron down icon Chevron up icon
Overview of the Project
Creating a Google Cloud Platform (GCP) Account
Understanding Project Costs
Navigating GCP's UI Console
Installing the gcloud CLI
Exploring the GKE UI Console
Creating a Google Kubernetes Engine (GKE) Cluster
Connecting kubectl to GKE
Deploying an Nginx-based Website
Exploring Storage Classes in GKE
Understanding API Resources in GKE
Creating Database Credentials for MongoDB
Deploying the MongoDB StatefulSet - Part 1
Deploying the MongoDB StatefulSet - Part 2
Deploying the MongoDB StatefulSet - Part 3
Deploying the Color API Application
Creating a LoadBalancer Service for External Access
Color API - Implement v2.1.0-dev: Exposing Prometheus Metrics
Customizing Database Deployments
Deploying the Prod Overlay and Customizing the Dev Color API Image
Denying All Ingress and Allowing Traffic Between Color API and MongoDB
Allowing External Traffic into Color API Pods
Registering a Domain for Our Website
Allocating Static IPs for Ingress
Creating Ingress Objects
Creating Managed TLS Certificates
Testing Ingress Traffic from Web to Color API Pods
Cleaning Up the Project
[Kubernetes] Course Conclusion Chevron down icon Chevron up icon
Course Wrap-Up and Final Thoughts

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About the author

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LM Academy
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LM Academy's Lauro Fialho Müller is a seasoned DevOps and Cloud Engineer with deep expertise in AWS, CI/CD pipelines, Kubernetes, and a broad background across multiple programming languages. Currently a Senior Infrastructure Consultant at Thoughtworks, he is passionate about Cloud Computing, Systems Design, FinOps, and AI. Known for his commitment to knowledge-sharing, Lauro actively contributes to the growth and success of fellow developers, guiding them in both personal and professional development within the tech community.
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