On-Demand / 7 hrs 57 min
Learn everything you need to know to become proficient with Docker containers and orchestration with Mike Pfeiffer and Dan Wahlin.
Mike Pfeiffer is a twenty-year tech industry veteran who’s worked for some of the largest technology companies in the world including Microsoft and Amazon Web Services (AWS). Mike is a published author, international conference speaker, Microsoft Azure MVP, and host of the CloudSkills.fm podcast.@mike_pfeiffer
In this first section you'll learn Docker core fundamentals and the advantages and benefits of a containerized software development and deployment workflow. You’ll learn about the differences between containers and virtual machines, the role of images, and how the layered file system works.
Next, we'll dive deeper into Docker and explore the setup options you can use for local development. You'll learn the key differences between Docker Desktop for Mac and Docker Desktop for Windows, and the recommended process you should use for your primary Docker workflows.
To become proficient with Docker you have to have a solid understanding of how to work with images. A Docker image is a file, comprised of multiple layers, used to execute code in a Docker container. When the Docker client runs an image, it becomes one or multiple instances of that container. In this section you'll learn how to work with existing images and how to go about building your own.
In this last section of day one we'll dive into running and managing Docker containers. We'll explore the concept of services, which are simply the concept of running containers in production. Services rely on a single container image, but defines the way that image runs, the ports it will use, and how many replicas of the container will be created to run the service. You'll also learn about the concept of scaling a service to change the number of container instances running your application.
How do you manage and persist data with a containerized application? Our topic to kick off day two will be an overview of the storage options available when working with Docker. We'll dive into the concept of Docker volumes which makes it possible to persist data and share files among multiple containers. You'll learn how to create and manage data in volumes using Docker CLI commands and gain a full understanding of how volumes work outside the lifecycle of a container.
Docker containers and services are even more powerful when connected together through virtual networking. This section will focus on how you can use Docker to manage containers in a platform-agnostic way. You'll learn how your Docker hosts can run Linux, Windows, or a mix of the two, while allowing containers and services running on those hosts to interact within the same virtual network environment.
Docker Compose is a tool for running a multi-container Docker application. Learn how to configure your application's services using a declarative YAML configuration file. Next, see how you can use a single command to create and start all of your application's services from your YAML configuration. Orchestration is a powerful concept that makes running containers in production possible, and Docker Compose works in any environment including production, staging, development, testing, along with CI workflows.
Once you've learned the core concepts of building, running, and managing Docker containers, you'll be ready to tackle one of the hottest technologies in the industry. Kubernetes (K8s) is an open-source system for automating deployments, scaling services, and managing containerized applications in real-world production scenarios. Learn the basics of Kubernetes and see how to build your first cluster in the cloud to get your applications up and running quickly.
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