Docker & Kubernetes Interview Readiness Course

Name: Docker & Kubernetes Interview Readiness Course
Rating: 4.2 (133 reviews)

Crack your next Docker and Kubernetes interview after completing this course

Created byRanjan Pandey

Last updated 6/2023

English

What you'll learn

You will know learn about Docker
You will learn the working of Docker and its components
You will learn about Kubernetes
You will learn about Architecture of Kubernetes
You will learn about different components in Kubernetes cluster
You will learn about Deployment and different ways of doing deployment on Kubernetes cluster

Course content

2 sections • 21 lectures • 1h 17m total length

Course Introduction2:09
Explore Docker and Kubernetes basics, benefits, and deployment concepts; understand Kubernetes architecture, master and worker components, nodes, and services, plus deployment and service objects for interview readiness.
About your Instructor0:18
Why Docker5:17
Docker offers an open source platform for building, deploying, and managing containerized applications, enabling source code, dependencies, and runtime across environments.
What is Docker2:37
Explore Docker as an open source platform that builds, ships, and runs containerised applications. It bundles dependencies, runtime, configuration, and server to run identically across environments, platform neutral.
Benefits of using Docker3:29
Achieve consistency and isolated environments with Docker, cutting deployment time and costs while enabling run-anywhere portability, automation of tests, rollback, and modular, scalable bundles.
Docker working workflow8:46
Explore how a Dockerfile transforms application code into a portable Docker image, then run containers from that image, enabling isolated, scalable environments and inter-container communication via registries and hubs.

What is Traditional and Virtualized mode of Application Deployment3:40
The lecture traces the shift from traditional hardware rack deployments with separate operating systems to virtualized deployment using a host operating system and hypervisor, improving resource utilization.
What is Container, Docker, Container Deployment and Challenges8:47
Explore how Docker container deployment creates isolated, self-sufficient containers from Docker images, enabling host-os independence, lightweight scaling, and porting across on-premises and cloud environments while addressing monitoring and security challenges.
What is Kubernetes3:28
Explore how Kubernetes orchestrates containerized applications by automating deployment, scaling, and security, ensuring high availability and zero-downtime updates as traffic changes.
Kubernetes cluster and concept of Node4:03
Explore how Kubernetes forms clusters by linking physical or virtual machines into nodes, with master nodes issuing commands to worker nodes across on-premises and cloud environments.
Overview of Worker and Master Node and What is Namespaces4:01
Explore the Kubernetes architecture with master and worker nodes and how namespaces isolate resources within a single cluster, enabling secure deployment and highlighting API server, scheduler, and controller.
Worker Node, Kubelet, POD, Container4:34
Explore how a Kubernetes master and multiple worker nodes form a high-availability cluster, with kubelet on each worker executing master commands and docker containers running inside ports.
Master Node component - API Server2:43
Explore how the API server serves as the frontend of the Kubernetes control plane, delivering instructions from developers to the master and worker nodes via UI, API, or CLI.
Master Node component - Controller Manager and its types4:18
Explore how the Kubernetes controller manager tracks cluster state and coordinates four controllers—node, application, endpoint, and service account and token controller—to maintain node health, replicas, endpoints, and namespace tokens.
Master Node component - Scheduler2:34
The master node scheduler manages port placement by selecting a suitable worker node with capacity, then instructs that node to create a new port via the API server.
Master Node component - etcd key value store2:43
Use the etcd key-value store on the master node to keep the Kubernetes cluster state highly available and consistent, storing all data as key-value pairs for redundancy.
Kubernetes Virtual Internal Network0:53
Explore Kubernetes' internal virtual network that connects cluster components, enabling communication between master and worker nodes. Without this network, components cannot interact and the cluster loses functionality.
Deep Dive into POD and Service component6:24
Replica and ReplicaSets1:10
Replica sets guarantee a minimum number of identical parts are always running, providing a reliable baseline. They work with the replication controller to maintain these replicas.
What is Deployment, how deployment works What is, Kubectl, Helm chart3:26
Define deployment as an umbrella for applications and databases, apply it to the cluster with kubectl; use helm charts for deployments, upgrades, and rollbacks with replicas and autoscaling.
Options available for running Kubernetes cluster - Minikube, AKS, EKS, GKS2:27
Explore running a Kubernetes cluster locally with minikube and test deployments. Compare cloud options like AKS, EKS, and GKS for production setups on Google, Azure, and AWS.

Requirements

Basics of Client server Architecture

Description

After this course you will build a good knowledge of Docker, Kubernetes and different components of the Kubernetes cluster and this knowledge is going to help you easily crack interviews by answering the questions.

In this course you will learn everything about Docker and Kubernetes, we will start by learning why we need docker, what is Docker, the advantages of using docker.

Architecture/working of docker and its components.

We will also talk about some of the best practices that should be followed while using Kubernetes.

Then we will move on to understand the different deployment strategies that we have been following and what are the limitations of those approaches.

Why containerization is the best deployment strategy available now.

Why we need Kubernetes.

What problem does Kubernetes solves.

2-What is Container, Docker, Container Deployment and Challenges

3-What is Kubernetes

4-Kubernetes cluster and concept of Node

5-Overview of Worker and Master Node and What is Namespaces

6-Worker Node, Kubelet, POD, Container

7-Master Node component - API Server

8-Master Node component - Controller Manager and its types

8-Master Node component - Scheduler

9-Master Node component - etcd key value store

10-Kubernetes Virtual Internal Network

11-Deep Dive into POD and Service component

12-Replica and ReplicaSets

13-What is Deployment, how deployment works What is, Kubectl, Helm chart

14-Options available for running Kubernetes cluster - Minikube, Azure Kubernetes Service, Elastic Kubernetes Service, Google Kubernetes Service

Who this course is for:

Anyone who wants to learn about docker and kubernetes and crack interviews related to them

Docker & Kubernetes Interview Readiness Course

What you'll learn

Explore related topics

Course content

Mastering Docker & Its components6 lectures • 23min

Mastering Kubernetes and Its components15 lectures • 55min

Requirements

Description

Who this course is for: