What you will get
About this course
If there's an application deployment coming to your neighborhood anytime soon, then there's an excellent chance it'll be delivered by way of containers. This brief course won't magically turn you into a highly skilled container admin, but it will help you understand why all the smart kids are moving to containers, how various Docker and Kubernetes tools work together to make beautiful music together, and which hosting platforms will make the most sense for your project.
You'll learn how to configure and launch real-world container workloads using tools like LXD, Docker Swarm, Docker Compose, minikube, kubectl, and helm. And you'll become comfortable with the form and function behind terms like: containers, containerd, control plane, etcd, scheduler, nodes, pods, Kubelet, and Kube-proxy.
If you're just interested in getting a quick bird's eye view of the current state of container technologies, then you can sit back and enjoy the journey. But we've also included everything you might need to follow along with the practical demos on your own laptop or work station. Successfully completing all the reading content, lesson learning checks, and demos yourself will leave you with a strong sense of how containers can improve the work you do.
Either way, you know you'd love to enrol in this course: "Big Picture: Docker and Kubernetes Container Virtualization"
Who this course is for:
Project managers researching their next technology adoptions
Application developers looking for the right deployment platform
IT professionals seeking to expand their skill sets
Individuals looking for career advancement
Learning objectives
Below are the learning objectives:
Understand the things that container technologies do better that traditional bare metal deployments
Understand the pros and cons of various container technologies, including Docker Engine and Kubernetes
Interact with technologies like Docker Engine and Kubernetes to deploy simple applications
Understand the range of available container hosting environments for both testing and production workloads
Deploy real-world multi-tier container applications in both Docker and Kubernetes
Requirements
No pre-requisite knowledge is needed for this course, but comfort with terminal command line tools will be helpful
Familiarity with Linux is a bonus
