Introduction to the course
Examine the evolution of virtualization technologies from bare metal, virtual machines, and containers and the tradeoffs between them.
Explores the three core Linux features that enable containers to function (cgroups, namespaces, and union filesystems), as well as the architecture of the Docker components.
Install and configure Docker Desktop
Use publicly available container images in your developer workflows and learn how about container data persistence.
Building out a realistic microservice application to containerize.
Write and optimize Dockerfiles and build container images for the components of the example web app.
Use container registries such as Dockerhub to share and distribute container images.
Use Docker and Docker Compose to run the containerized application from Module 5.
Learn best practices for container image and container runtime security.
Explore how to use Docker to interact with containers, container images, volumes, and networks.
Add tooling and configuration to enable improved developer experience when working with containers.
Deploy containerized applications to production using a variety of approaches.
Final words about the course.
When deploying containers there are a number of important things to consider:
In this module of the course we will deploy our application using a single node Docker Swarm cluster.
The repo also contains configurations for deploying to railway.app and Kubernetes. Those configurations are covered in separate bonus videos that can be found at https://links.devopsdirective.com/docker-gumroad
Docker Compose has some limitations for production workloads:
Docker Swarm addresses these limitations, making it a better choice for production deployments.