This course helps to explore the basics of Docker containers and images, the use of Kubernetes, and managed clusters on Azure Kubernetes Service.

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With the huge shift in the technological world, from running servers on local premises to the cloud, the need for containerization has increased. Kubernetes is a powerful open-source platform to manage containers and their services. This course provides an understanding of Docker and Kubernetes.

You will start with the basics of Docker and an introduction to containers and images. Next, you'll learn to create Dockerfile for building images. Then, you’ll learn about Kubernetes, Kubernetes clusters, nodes, and their working. You will finish this course by setting up your own Kubernetes cluster on top of Azure and using the Helm chart to manage it.

In the 4 years (2015-2019), Kubernetes job searches grew by 2,125% and are continuing to grow. Therefore, understanding the basics of Kubernetes, its architecture, and its working would help you land roles like that of a DevOps engineer and a cloud architect.

Running Kubernetes Cluster using Azure Kubernetes Service

## Features of Kubernetes

In this lesson, we’ll learn about the features that can help us manage containers easily.


### Automatic bin packing
Kubernetes automatically packages our application and schedules the container, taking care of the requirements and the resources available. Let’s understand this with an example.

Suppose we have five identical servers with 8 GB memory per server. Now we have a list of jobs, and we need to package these jobs (or applications) on these five bins (servers) in such a way that we don’t lack resources and the applications have high availability. These jobs vary in their memory requirements. Here, Kubernetes aids us by taking care of packaging these jobs (containers) in bins (servers) in an efficient way.

When we specify a Pod, we can optionally specify how many resources like CPU and memory (RAM) each container needs. When containers have resources specified, the automatic bin packing becomes more efficient because the scheduler can more easily decide which nodes to place the Pods on.


# Features of Kubernetes

In this lesson, we’ll learn about the features that can help us manage containers easily.


## Automatic bin packing
Kubernetes automatically packages our application and schedules the container, taking care of the requirements and the resources available. Let’s understand this with an example.

Suppose we have five identical servers with 8 GB memory per server. Now we have a list of jobs, and we need to package these jobs (or applications) on these five bins (servers) in such a way that we don’t lack resources and the applications have high availability. These jobs vary in their memory requirements. Here, Kubernetes aids us by taking care of packaging these jobs (containers) in bins (servers) in an efficient way.

When we specify a Pod, we can optionally specify how many resources like CPU and memory (RAM) each container needs. When containers have resources specified, the automatic bin packing becomes more efficient because the scheduler can more easily decide which nodes to place the Pods on.


Learn about various Kubernetes features that can automate container management.


Features of Kubernetes

Learn about various Kubernetes features that can automate container management.

Introduction

Docker

Docker Assessment

Kubernetes

Kubernetes Assessment

Azure Kubernetes Services

Deploy an Application on AKS

Assessment of Azure Kubernetes Service

Application Management using Helm

Appendix

Features of Kubernetes

Features of Kubernetes

Automatic bin packing