▣ Chapter 1: Getting Started with Docker

1.1 Training Environment Information
1.2 Setting up a practice environment on Windows
__1.2.1 Installing Git
__1.2.2 Installing Docker Desktop
__1.2.3 Installing VS Code
__1.2.4 Creating a practice folder
__1.2.5 Download the practice materials
1.3 Setting up a lab environment on macOS
__1.3.1 Installing iTerm2
__1.3.2 Installing Homebrew and Git
__1.3.3 Installing Docker Desktop
__1.3.4 Installing VS Code
__1.3.5 Creating a practice folder
__1.3.6 Download the practice materials
1.4 Hands-on Guide (Windows and macOS)
__1.4.1 Copying practice commands
__1.4.2 Using the browser incognito window
__1.4.3 Delete all containers

▣ Chapter 2: Virtualization Technology and Container Virtualization

2.1 Server
__2.1.1 Server and Client
__2.1.2 Server Types
__2.1.3 Server Operation in an Enterprise Environment
2.2 Virtualization Technology
__2.2.1 Virtualization technology and software
__2.2.2 Economics of Virtualization Technology
2.3 Hypervisor Virtualization
__2.3.1 Processes and the OS
__2.3.2 The Role of the Hypervisor
2.4 Container Virtualization
__2.4.1 Hypervisor Virtualization vs.
Container virtualization
2.5 Docker
__2.5.1 Docker's architecture
2.6 Running a container
__2.6.1 Web Server

▣ Chapter 3: Images and Containers

3.1 Image
__3.1.1 Elements required to run the program
__3.1.2 Image
Running containers using __3.1.3 images
3.2 Containers
__3.2.1 Programs and Processes
__3.2.2 Images and Containers
__3.2.3 Using Images and Containers
3.3 Metadata for Images and Containers
__3.3.1 Changing Cmd and Env values
__3.3.2 -d option of docker run command
3.4 Container Lifecycle

▣ Chapter 4: Image Registry

4.1 Image Registry
__4.1.1 Functions of the Image Registry
__4.1.2 Space where images are stored
__4.1.3 Private Registry
4.2 Image Naming Rules
4.3 Joining Docker Hub and Sharing Images

▣ Chapter 5: Building an Image

5.1 Images and Layers
__5.1.1 Advantages of Layer Structure
__5.1.2 Layer composition principle
__5.1.3 Layers of Images and Containers
__5.1.4 Copy-On-Write (COW)
5.2 Image Commit
5.3 Building the Image
5.4 Build Context
__5.4.1 Excluding files using the .dockerignore file
5.5 Dockerfile Directives
__5.5.1 envColorApp
__5.5.2 envColorApp configuration
__5.5.3 Building Applications and Building Images
__5.5.4 envColorApp source code
5.6 Multi-Stage Build
__5.6.1 JavaHelloApp
__5.6.2 JavaHelloApp source code
__5.6.3 Summary of learning content

▣ Chapter 6: Container Applications

6.1 Cloud
__6.1.1 Cloud Server
__6.1.2 Public Cloud and Private Cloud
__6.1.3 Cloud and the Sharing Economy
__6.1.4 Core Elements of Cloud Computing: Scalability, Resilience, and Cost-Efficiency
6.2 Cloud Native
__6.2.1 Container
__6.2.2 Monolithic and MSA
6.3 Lipi Application
6.4 Building the Lipi Application Image
__6.4.1 Download the source code
__6.4.2 Building the PostgreSQL Image
__6.4.3 Building the backend application image
__6.4.4 Building the front-end image

▣ Chapter 7: Network

7.1 Network Basics
__7.1.1 Network
__7.1.2 IP address
__7.1.3 Public IP and Private IP
__7.1.4 Network Interfaces and Ports
__7.1.5 Public and Private Networks
__7.1.6 NAT and Port Forwarding
__7.1.7 DNS
7.2 Docker Network
__7.2.1 Bridge Network
__7.2.2 Virtual Networks and Interfaces
__7.2.3 Port forwarding command
__7.2.4 Docker's DNS
__7.2.5 Docker network types
7.3 Lipi Network

▣ Chapter 8: Volume

8.1 Container Status and Stateless Properties
__8.1.1 Stateless Characteristics of Containers
__8.1.2 Shifting Server Management Paradigms: Pet vs. Cattle
8.2 Application Modernization
__8.2.1 Characteristics of container-based applications
__8.2.2 Considerations when developing stateless applications
8.3 Docker Volumes
__8.3.1 The Need for Docker Volumes
__8.3.2 How Docker Volumes Work
__8.3.3 Using Docker Volumes
__8.3.4 Docker volume management commands
__8.3.5 Mount types of Docker volumes

▣ Chapter 9: Docker in Practice

9.1 Image Management
__9.1.1 Layer Optimization Using the RUN Directive
9.2 Building with Cache
__9.2.1 Layer cache creation principle
__9.2.2 Build Optimization Using Caches
9.3 3-tier architecture configuration
9.4 Dynamic server configuration using environment variables
9.5 Configuring a Dual DB
9.6 Optimizing Container Applications
__9.6.1 Resource Optimization
__9.6.2 Java Heap Memory Optimization
9.7 Configuring a Development Environment Using Containers

▣ Chapter 10: Docker Compose

10.1 YAML file
10.2 Docker Compose Commands

▣ Chapter 11: Docker and DevOps

11.1 DevOps
__11.1.1 CI/CD Pipeline
11.2 GitHub Actions
__11.2.1 Join GitHub and fork the source code
__11.2.2 Check the Lipi pipeline source
__11.2.3 GitHub Action Concepts
__11.2.4 Workflow Grammar
__11.2.5 Frequently used actions

★ What this book covers ★

◎ Understanding the concepts of virtualization and containers
◎ Image build, multi-stage build
◎ 3-Tier Architecture Application Containerization
◎ Virtual networks and volume mounts that developers should know
◎ How to use containers for cloud-native application development
◎ How to use Docker Compose and GitHub Action Pipelines
◎ How to use the IDE's container function (IntelliJ IDEA, VS Code)