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Docker is one of the most powerful tools that has enhanced the way we develop, ship, and run applications. In 30 days, learn Docker from being a novice to a pro-level Docker professional, whether you've just started your first steps with Docker or want to extend your Docker knowledge. By the end of this guide, you will be left with in-depth knowledge of Docker, from its basics to advanced topics on your Docker journey. You will also be quite capable of overcoming Docker in a production setup.
Each day, you will discover a new aspect of Docker, with a journey from the very fundamental basics up to more advanced units. You will get your hands dirty as you install Docker, issue commands, work on Docker networking, and more. Resources and links will also be shared to develop a profound understanding of several things.
There will be six major sections of this journey related to six key areas of Docker that build upon the previous one. In such a structured approach, you will be ready to understand Docker thoroughly, from simple things to absolutely complex concepts. Below is the detailed list of what you will learn day by day:
Table of Content
During the first 5 days, you are going to lay the groundwork for your journey with Docker through the comprehension of basic architecture and how to set up your Docker environment. You will learn to create and manage Docker images and containers and see Docker Hub and Docker Cloud, where it's possible to share your work with the rest of the world. This chapter will also go into installations with various platforms to ensure that your environment is set up and ready for Docker development.
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On the first day, we will be going through the core architecture of Docker. By understanding the structure of Docker, you will have a peek at how it works under the hood—something really core to mastering the tool. You will also install Docker on your system to be finally ready for working with containers.
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We shall explore what makes a Docker image and container, being headlined among the Docker-area central components. We'll see how the image can be created and how that will eventually lead to its course of writing, compiling, and launching of containers. We will also cover the differences between images and containers and how to effectively manage them.
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Dockerfiles are the source of truth toward building Docker images. Today you get an understanding of how to create one: what the general commands are, the syntax, and finally, best practices for creating efficient and re-usable ones.
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Now that you have the Dockerfile, it's time to build your very first Docker image and run it as a container. This practical task will walk you through the process of a docker build and docker run command, giving you firsthand knowledge of how to control the entire life cycle of a container.
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Docker Hub is more or less like a central repository of Docker images. Today, you get to know how to push an image to Docker Hub, how to pull images from it, and repository management. We will also get to know an overview associated with Docker Cloud – managing and deploying your containers into the cloud.
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Networking is important to allow communication from container to container and between containers and other systems. During this course over the next 5 days, you will look at Docker networking in detail, from basics to advanced subjects such as bridge, host, and overlay configurations that are part of Docker Swarm. You will learn how you link containers and how to set up networking with multi-container applications.
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At the heart of Docker lies the concept of networking, allowing containers to communicate with each other and the host. Today you will look over basic Docker networking, how its different kinds of networks are set up, and its uses.
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Today we will be talking about bridge networks. This is the default Docker networking setting. We will learn how to create and manage bridge networks. We will also see how to connect containers in the network to facilitate communication.
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Today’s session will cover the host and none network options in Docker. You’ll learn when and why to use these networks and how they differ from bridge networks in terms of container isolation and performance.
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In most cases, Docker Swarm utilizes overlay networks so that containers on more than one host can easily communicate. We will look into how to create and use overlay networks to communicate safely and properly in distributed applications.
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Rounding up the entire networking section, after today, you'll know how to configure custom Docker networks, control them, and solve network issues where necessary. This will give you the ability to establish and maintain stable network setups within Docker.
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Data management is considered the most crucial operation needed in the execution of applications with containers. In this 5-day package, you will learn about the storage options available in Docker, such as volumes, bind mounts, and tmpfs mounts. Manage data in the container, keeping that data persistent through container restarts, and you'll implement backups and restoration of Docker container data.
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Proper storage management of Docker: How you can keep properly controlled data being generated by your containers, storage options in Docker: today you will get some insight into the kind of options and how you can effectively use them to maintain the container data integrity along with durability.
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Probably the most common Docker storage option is Docker volumes. In this course, you will learn how to create, detail, and manage your Docker volumes effectively for data storage purposes or data exchange among a number of containers.
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Docker registry is an important part of the Docker ecosystem and provides a place where Docker images can be stored. Knowledge gained on Docker Public/Private Registries, how to push images into the Registries, and how to handle the Repositories well.
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Bind mounts enable mounting a file or directory from the host machine inside a Docker container. Now you're going to learn how to use bind mounts, and when it's best to use them instead of the volumes property—primarily when working within certain development environments.
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In continuation of the storage section and in today's class, you are going to learn to work with data inside your Docker containers: how to perform data backups and restore within data volumes and how to move data from container to container.
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Docker Compose allows you to define and run multi-container applications with great comfort. In five days, learn how to manage complex applications using Docker Compose, define services of applications in the docker-compose.yml file, and learn how to manage networking and service scalability when everything is in a multi-container setup. This module will also cover properly structuring Docker Compose projects for optimized performance.
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Docker Compose is a tool for managing multi-container Docker applications. Today you are going to get your first introduction to Docker Compose—what it is, and more importantly, ways it can be useful in setting up your first multi-container application.
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So, how does docker-compose.yml help us clear the services, networks, and volumes from our applications? Let's find out today how to structure and configure it to get a clean and efficient setup for your multi-container applications.
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Docker Compose helps build and run multi-containerized applications with ease. Today is the day you're going to be composing an entire application of multiple containers again, running it with Docker Compose to have a sense of managing and debugging multiple-containered applications.
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Networking is one of the most important tasks in Docker Compose, where your containers are supposed to be in communication with/interacting with each other. Today, you will learn to set up and manage networking within Docker Compose so that you're sure there'll be reliable communication between your services.
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Following that, in this Docker Compose section, we will highlight some best practices to follow when using Docker Compose, with recommendations on your projects' structure, dealing with configurations, maximizing performance, and managing in production.
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This is where orchestration in Docker comes in. In the next five days, you'll use Docker Swarm in practice to set up a Swarm cluster, deploy and scale services on the cluster, and do many other things that will make you a pro at managing your Docker nodes effectively. In Chapter 9, you're going to learn about the subtle differences that exist between Docker Swarm and Kubernetes; and with this information, we provide you with basic guidelines on how to choose the orchestration tool that best fits your use case.
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Docker Swarm is a container-native orchestration tool by Docker, which helps manage a cluster of Docker nodes. Today, you have got an introduction to Docker Swarm and its key concepts such as nodes, services, and tasks.
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You will work on setting up a Docker Swarm cluster because you initialized the Swarm on a Manager Node and added Worker Nodes. Besides that, you will need to configure and maintain the Swarm to ensure high availability and optimal use of resources.
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In Swarm mode configuration using Docker, a task can be considered anything that runs inside the cluster. Thus, today you will learn how to deploy and control services in Swarm mode, after which they are highly available and can be comfortably scaled.
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One of the greatest features of Docker Swarm is being able to scale services. As you go through today's learning, you will understand how you could scale your services depending on demand—for better utilization of resources across any given cluster.
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To go further on Swarm, you will dive into more advanced orchestration techniques: rolling updates, service constraints, and node management with Docker Swarm. You will also learn how to put in place advanced security configurations.
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As you reach the end of these 30 Days, you will get into more advanced topics like Dockerizing best security practices, how to Dockerize an actual application, monitoring considerations, and how to integrate Docker into a CI/CD pipeline. By the end of these 5 days, you'll have the confidence to apply Docker in production environments. It encompasses how to go about Dockerizing various applications regarding their architecture, starting from the most basic web app to the most complex services.
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Security is an omnipresent necessity in any production environment. This day covers best practices for securing your Docker containers and their images, and your environment in general. We will learn how to manage secrets and configure secure networks.
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Application Dockerizing refers to the creation of a Docker image of an application. Throughout the following sections, you will learn about Dockerizing an array of such applications, ranging from simple web apps to complex services, with every emphasis on getting them ready for containerization in an easy and seamless way.
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Of course, there's monitoring to keep your health and performance at its best for the Docker Environment. Today, you will learn how to set up monitoring for your Docker containers, such as with Prometheus and Grafana, to make sure your applications continue to run smoothly.
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Both logging and debugging are indispensable for the effective resolution of problems in your Docker environment. Today, we will learn logging and debugging strategies in Docker that will act as a way to zero in on mistakes and bugs, making it much easier to fix the precedent.
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Last, but not least, it's all going to wrap up with how you could implement Docker with CI/CD pipelines in Jenkins, GitLab CI, or GitHub Actions—making the development and deployment of your projects much more exotic and easier.
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Congratulations! Over the last 30 days, you have learned from the basics—starting with the concept of Docker architecture—up to some advanced points such as Docker Swarm orchestration, security best practices, and CI/CD integration. Now this guide has given you the tools and knowledge required to work with Docker effectively in production environments. With that, keep going in the Docker journey: learning more about Kubernetes, advanced Docker networking, or contributing to Docker open-source projects. The skills you have learned over the last 30 days will be a very strong stepping stone in mastering containerization and orchestration.
A comprehensive 30-day guided tutorial to go from zero to hero in Docker, from basic installation, through solid basics of running and managing containers, all the way to advanced and interactive scenarios on how to deploy with cutting-edge orchestration strategies and best practices. By following this well-structured task, you will surely be ready to use Docker in work scenarios to get a streamlined way to deploy and manage any application in any kind of environment.