Practical Docker Guide with Projects

Docker is a simpler subject now and widely used in production environments.

The Docker installation is much simpler now, regardless of the operating system.

Docker images are like CDs or DVDs, containing all the necessary components for running applications.

Containers are like individual systems that run Docker images.

The Docker CLI provides various commands to interact with Docker and its components.

📚 The Docker documentation is important for understanding command usage and API versions.

🌐 The 'docker pull' command is used to download images from the Docker registry.

🧱 Docker images are composed of multiple layers, making them efficient and easy to update.

🔁 If an image is not present, Docker will go online and download it. Subsequent pulls are faster.

💻 Docker run is used to create and run containers from Docker images. The 'docker ps' command lists running containers.

🔒 Some images require authentication to download, while public images can be downloaded without logging in.

🛑 The 'docker stop' command is used to stop running containers.

❗ Environment variables and command options can be passed to Docker run for customization.

Docker runs on a specific port, which can cause conflicts if multiple services are running on the same port.

Docker uses a container to run applications, which is lightweight and does not include the entire kernel.

Port mapping allows Docker containers to interact with the host machine through different ports.

Docker container stop command is used to stop a container.

Docker logs command displays the logs of a container.

📦 Docker allows you to containerize applications and easily connect them with other containers.

🔐 In order for containers to communicate, they need to be on the same network.

🐳 Docker Compose provides a way to define and run multi-container applications with a simple configuration file.

📚 Docker Compose is a simple way to create and manage Docker containers.

🔧 Indentation in the Docker Compose file is crucial for organizing containers and components.

🐳 Containers in Docker Compose can be defined as services, each with their own configurations.

🔌 Docker Compose automatically creates a network for containers to communicate with each other.

📦 Volume mounts can be used to persist data in Docker containers.

📚 Understanding the basics of Docker, Docker Compose, and containerization.

⚙️ Creating a Docker image for a Python Flask application.

🌐 Pushing the Docker image to Docker Hub for easy sharing and deployment.

📦 Docker allows us to easily package and run applications by creating container images.

🛠️ We can create a Dockerfile to define the configuration for building the image, including the base image, working directory, and commands.

🐳 Once the image is built, we can run it as a container and expose ports to access the application.