Google Kubernetes Engine GKE A Beginners Guide

Every expert was once a beginner
Google Kubernetes Engine GKE A Beginners Guide
File Size :
1.34 GB
Total length :
2h 57m



Aseef Ahmed


Last update




Google Kubernetes Engine GKE A Beginners Guide

What you’ll learn

A very high level overview of Docker
Different aspects of Google Kubernetes Engine (GKE)
Different services of Google Cloud Platform that might be used together with Google Kubernetes Engine
How to deploy a micro service based application in Kubernetes Engine
Different approaches of deploying applications in Kubernetes Engine
How to monitor an application deployed in Kubernetes cluster using Google’s monitoring tool
How Kubernetes & Google Kubernetes Engine works in real life projects
How to Deploy a Stateful Application within the Kubernetes Cluster using GKE
How to Deploy a Slack Chat Bot Application within the Kubernetes Cluster using GKE

Google Kubernetes Engine GKE A Beginners Guide


Basic understating of Linux command will help
This course is not about Kubernetes itself. Therefore, I expect you to have some basic understanding of various Kubernetes objects such as pods, deployments, services and so on.
As this course is mostly about Google Kubernetes Engine, you must need an active account on Google Cloud Platform so that you can do enough practices while going through this course


Hello Everyone, welcome to the course of “Google Kubenetes Engine for Absolute Beginner”.Throughout the course I will try my level best to illustrate various aspects of Google Cloud Platform and Google Kubernetes Engine (GKE) in an easy way with lots of examples and assignments that will not only help you to understand the underlying concepts but also make you confident to apply the knowledge that you will gain in this course.The course is divided into two main sections. The first section is all about highlighting some core features of Google Cloud Platform (GCP) where as the another section will mainly focus on one of the core services of GCP which is Google Kubernetes Engine(GKE).In the first section, you will start the course with an introductory overview of GCP console that can be used to navigate various services of GCP. Then, you will go through the usages of GCP’s command line interface known as Google Cloud shell. you will get to know how to use this Google cloud shell to interact with various GCP services. Then you will see how to create virtual machines using both GCP console and Google Cloud Shell. You will also see in the first section, how to distribute traffic across a number of servers using load balancers.In the following section, where you get to know various features of Google Kubernetes Engine, will focus on deploying microservices in a Kubernetes cluster on Google infrastructure. You will also get to know various ways of deployment in Kubernetes cluster. you will also see the usage of various docker commands from a very high level. You will also see in this section the process of setting up and implementing continuous delivery pipeline with Jenkins in Google Kubernetes engine.


Section 1: Introduction

Lecture 1 Stay Connected

Lecture 2 Course Overview

Lecture 3 Features of Google Kubernetes Engine (GKE)

Section 2: Google Cloud Platform (GCP)

Lecture 4 Introducing Google Cloud Platform (GCP)

Lecture 5 Introducing Google Cloud Shell

Lecture 6 Creating Virtual Machine in GCP

Lecture 7 Load Balancing in GCP

Section 3: Deploying Application with Google Kubernetes Engine

Lecture 8 Docker in a Nutshell

Lecture 9 Introducing Google Kubernetes Engine (GKE)

Lecture 10 Deploying a Microservice Application on Google Kubernetes Engine

Lecture 11 Rolling Update Vs Blue Green Deployment Vs Canary Deployment

Lecture 12 Implementing Continuous Delivery Pipeline on GKE with Jenkins-X

Section 4: Assessments: Deploying a Multi-Tier Web Application

Lecture 13 Tasks

Lecture 14 Assignment One: Building a Docker Image

Lecture 15 Assignment Two: Deploying the Application

Lecture 16 Solution: Deploying the Application

Section 5: Cluster Administration

Lecture 17 Section Overview

Lecture 18 Managing GKE Cluster

Lecture 19 Configuring GKE Cluster

Lecture 20 Resizing GKE Cluster

Lecture 21 Managing Node Pools

Lecture 22 Cluster Upgradation

Lecture 23 Cluster Autoscaling

Lecture 24 Deleting GKE Cluster

Section 6: Bonus Lectures

Lecture 25 Monitoring the Cluster with Kubernetes Dashboard

Section 7: Bonus Project – 1 : Deploying WordPress Application into GKE

Lecture 26 Project Overview

Lecture 27 Provisioning Kubernetes Cluster

Lecture 28 Persistent Volume (PV) & Persistent Volume Claim (PVC)

Lecture 29 Google Cloud SQL

Lecture 30 Deploying WordPress Application

Section 8: Bonus Project – 2 : Deploying a Slack Chat Bot into GKE

Lecture 31 Project Overview

Lecture 32 Slack Workspace

Lecture 33 Chat Bot Application

Lecture 34 Building Docker Image

Lecture 35 Deploying the Chat Bot into GKE

Section 9: Conclusion

Lecture 36 Learning Resources

Lecture 37 Thank You

Developers who want to deploy their applications in to Google Kubernetes Engine (GKE),DepOps engineers who want to move into Kubernetes from their traditional infrastructure,Anyone who want to explore various features of Google Kubernetes Engine

Course Information:

Udemy | English | 2h 57m | 1.34 GB
Created by: Aseef Ahmed

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