Explore Kubernetes architecture, frameworks, and interfaces. Gain insights into deployment, scaling, and management of containerized applications. Discover extensibilities and get hands-on customizing Kubernetes.

k8s-go.tar.gz

k8s-go-v2

go-env-v2

Kubernetes is a popular open-source container orchestration system that automates the deployment, scaling, and management of containerized applications. This course is designed to provide a comprehensive understanding of Kubernetes and its programming concepts. You’ll dive deep into advanced topics of Kubernetes.

This course will cover topics such as Kubernetes architecture, frameworks, plugins, and interfaces. You’ll also learn the powerful extensibilities of Kubernetes and make full use of these built-in capabilities to build your customized Kubernetes.

This course is ideal for developers, DevOps engineers, and system administrators who want to learn how to master Kubernetes. By the end of the course, you’ll have a solid understanding of Kubernetes, its programming concepts, and be able to deploy, scale, and manage containerized customizations on Kubernetes. You will also get hands-on experience extending Kubernetes to meet your requirements.

Programming with Kubernetes

# Overview

In Kubernetes, the smallest deployable and schedulable unit is a Pod. One or more containers are grouped into one Pod. Such a Pod design can well support multiple cooperating processes for a cohesive unit of Service. Each process runs in a separate container. Multiple containers serve as a standalone Service or application.

But how does `kubelet` turn a Pod to multiple running containers?

# The role of `kubelet`

The `kubelet` agent watches the `kube-apiserver` as new Pods get scheduled to the current node. It processes the specification of a Pod and ensures all the specified containers for the Pod are up and running as declared.

To create a container, `kubelet` needs a container runtime, such as Docker. The `kubelet` itself doesn't do low-level container management. All the containers are created by a container runtime. For a long time, Docker was used as the default container runtime and was integrated as the in-tree runtime. However, as Docker itself continues to evolve, having it integrated occasionally broke Kubernetes. It was hard to release a stable Kubernetes. Moreover, it was impossible to provide backward compatibility. Such tight coupling also made it hard to integrate with other container runtimes.

Therefore, it is essential to make `kubelet` and container runtimes loosely coupled. That's why the Container Runtime Interface (CRI) was proposed.

Before Getting Started

Kubernetes Architecture

Customizing AuthX

Dynamic Admission Control

Customizing Schedulers

Extending APIs with CustomResourceDefinition (CRD)

Extending APIs with Aggregated APIServer

Container Network Interface

Container Runtime Interface

Extend kubectl

How to Write Good Kubernetes Operators

Assessment of Programming with Kubernetes

Wrap Up

How the CRI Works

Overview

The role of `kubelet`

Assessment of Programming with Kubernetes

How the CRI Works

Overview

The role of kubelet

The role of `kubelet`