Docker Fundamentals

1. Docker Community & Resources

The Docker community is a vibrant ecosystem that offers a wealth of resources for learning and collaboration:

2. Introduction to Containers

Containers are lightweight, portable, and self-sufficient units that package an application and its dependencies:

3. The Docker CLI

The Docker Command Line Interface (CLI) is a powerful tool for interacting with Docker containers:

4. Dockerfile Basics

A Dockerfile is a script containing a series of instructions to build a Docker image:

5. Docker Compose

Docker Compose is a tool for defining and running multi-container Docker applications:

6. Docker Swarm

Docker Swarm is Docker's native clustering and orchestration tool for managing a cluster of Docker nodes:

Docker Setup

1. Installation on Windows

To install Docker on Windows, follow these steps:

2. Installation on Linux/Unix

Installing Docker on Linux varies by distribution. Below are general steps for Ubuntu:

3. Docker for Mac Setup

To set up Docker on macOS, follow these steps:

4. Docker Toolbox

Docker Toolbox is an older method to run Docker on Windows and Mac for users who cannot run Docker Desktop:

5. Docker Desktop

Docker Desktop is the recommended way to run Docker on Windows and Mac:

Docker Image Creation

1. Writing a Dockerfile

A Dockerfile is a text document that contains all the commands to assemble an image. It is crucial for automating the image creation process.

2. Building an Image

To create an image from a Dockerfile, use the docker build command.

3. Creating a Repository

A repository on Docker Hub or a private registry is necessary for storing your images.

4. Image Tagging

Tagging helps in version control and organization of images.

5. Image Pushing

Pushing an image to a repository allows others to access it.

6. Docker Buildx

Docker Buildx is an experimental tool that extends Docker’s build capabilities.

Docker Container Management

1. Running a Container

Running a Docker container creates an instance of an image. The container can be started using the following command:

2. Stopping and Removing Containers

To manage container lifecycle, you may need to stop and remove containers.

3. Interactive Docker Containers

Running a container interactively allows you to execute commands directly within the container.

4. Container Logging

Docker provides logging features to monitor container outputs.

5. Inspecting Containers

The docker inspect command provides detailed information about a container.

6. Container Health Checks

Health checks are a way to monitor the status of a running container.

Docker Networking

1. Docker Bridge Network

The default network type for Docker containers, enabling communication between containers on the same host.

2. Docker Host Network

This mode allows containers to share the host's networking stack, which can be useful for performance.

3. Docker Overlay Network

Overlay networks allow containers running on different Docker hosts to communicate with each other, making it essential for multi-host networking in Swarm mode.

4. Docker Macvlan Network

Macvlan networks allow you to assign a unique MAC address to a container, making it appear as a physical device on the network.

5. Network Ports

Docker allows you to publish container ports to the host, enabling external access to containerized services.

6. Docker-Compose Networks

Docker Compose simplifies the process of managing networks for multi-container applications.

Docker Orchestration

1. Docker Swarm

Docker Swarm is Docker’s native clustering and orchestration tool, enabling users to manage multiple Docker hosts as a single virtual host. It provides high availability, load balancing, and scaling of containerized applications.

2. Creating a Swarm

To create a Swarm, you need to initialize a manager node and can then add worker nodes to the swarm.

3. Managing a Swarm

Once the swarm is created, you can manage it effectively through various commands.

4. Docker Service Create

Creating services in Docker Swarm allows you to deploy containerized applications across the swarm.

Docker Security

1. Docker Content Trust

Docker Content Trust (DCT) provides the ability to enforce image signing and verification in Docker. This ensures that only trusted images are pulled and run in your environment.

2. User Namespaces

User namespaces allow you to map the container user IDs to different user IDs on the host. This adds an additional layer of security by isolating user privileges.

3. AppArmor and Seccomp

AppArmor and Seccomp are Linux kernel security modules that provide mandatory access control and system call filtering for Docker containers.

4. Docker Bench for Security

Docker Bench for Security is a script that checks for dozens of common best practices around deploying Docker containers in production.

5. Docker Secrets

Docker Secrets allows you to securely store and manage sensitive information such as passwords and API keys.

6. Docker Scan

Docker Scan is a command that allows you to analyze images for known vulnerabilities.

Docker on Cloud Platforms

1. Docker on AWS

AWS provides robust support for Docker containers through several services, enabling developers to deploy and manage containerized applications seamlessly.

2. Docker on Azure

Microsoft Azure offers various services and tools to run Docker containers, providing a flexible and powerful environment for containerized applications.

3. Docker on Google Cloud

Google Cloud Platform (GCP) provides comprehensive support for Docker containers through various managed services and tools.

4. Docker on Digital Ocean

Digital Ocean offers a simple and straightforward way to deploy and manage Docker containers, making it ideal for developers and small businesses.

Kubernetes and Docker

1. Kubernetes Architecture

Kubernetes is an open-source container orchestration platform designed to automate deploying, scaling, and operating application containers. Its architecture is composed of several key components:

2. Kubernetes Resources

Kubernetes manages various resources to run applications effectively:

3. Kubernetes Pods & Services

Understanding pods and services is crucial for deploying applications in Kubernetes:

4. Setup Kubernetes with Docker

Setting up a local Kubernetes environment using Docker is straightforward. Here are the steps:

  1. Install Docker: Ensure Docker is installed on your machine. You can download and install Docker Desktop for Windows or macOS, or use package managers for Linux distributions.
  2. Install Kubernetes: Use a tool like Minikube, which runs a single-node Kubernetes cluster inside a VM on your local machine. Alternatively, you can use Docker Desktop, which has integrated Kubernetes support.
  3. Start Minikube: If using Minikube, open your terminal and run:
    minikube start
  4. Access the Kubernetes Dashboard: Run the following command to open the dashboard:
    minikube dashboard
  5. Deploy a Sample Application: Create a YAML configuration file for a simple application (e.g., nginx) and apply it using:
    kubectl apply -f your-application.yaml
  6. Expose the Application: Use the following command to expose the application via a service:
    kubectl expose deployment nginx --type=LoadBalancer --port=80

Docker CI/CD Integration

1. Docker and Jenkins

Jenkins is a popular open-source automation server that facilitates CI/CD integration with Docker:

2. Docker & Travis

Travis CI is a cloud-based CI service that integrates seamlessly with Docker:

3. Docker and GitLab

GitLab CI/CD provides integrated CI/CD capabilities, allowing for easy Docker integration:

4. Docker and GitHub Actions

GitHub Actions is a powerful CI/CD feature integrated into GitHub, enabling Docker workflows:

Troubleshoot & Optimize

1. Docker Debugging

Debugging Docker containers is crucial for identifying issues and ensuring applications run smoothly:

2. Docker Performance Monitoring

Monitoring Docker performance helps maintain application efficiency:

3. Docker Metrics

Understanding Docker metrics is key for performance optimization:

4. Docker Log Management

Effective log management is essential for troubleshooting and performance monitoring:

5. Docker Garbage Collection

Regular garbage collection helps reclaim disk space used by unused images and containers:

6. Improving Dockerfile Efficiency

Optimizing Dockerfiles can lead to smaller image sizes and faster builds:

Docker Storage

1. Docker Volumes

Docker volumes are a preferred way to manage persistent data generated by and used by Docker containers:

2. Bind Mounts

Bind mounts allow you to link a host directory to a container, providing more flexibility but with fewer safety features compared to volumes:

3. Temporary Filesystems

Temporary filesystems are useful for storing transient data that does not need to persist:

4. Storage Drivers

Storage drivers manage the storage of images and containers and dictate how the filesystem interacts with the Docker daemon:

5. Layered Storage

Docker uses a layered filesystem to efficiently manage images and reduce storage space: