Google Kubernetes Engine (GKE) - A Beginner's Guide

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  • Study type: Online
  • Starts: Anytime
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Course Description

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.



Who this course is for:

  • 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

Instructor

AWS, GCP & Azure Certified Cloud Engineer
  • 3.9 Instructor Rating
  • 97 Reviews
  • 826 Students
  • 4 Courses

"Keep Yourself Learning"......

I am experienced Web Developer having more than 9+years of experience in web development. I am an AWS, GCP & Azure Certified Cloud Engineer as well as Red Hat Certified Engineer(RHCE). I have worked with huge number of projects through out this time.

I have a solid experience to work with many DevOps tools such as Git, GitHub, Chef, Anisble, Puppet, Jenkins, Terraform, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit and so on.

Moreover, i have been working on cloud platform for last few years. I have implemented a number of AWS services for my clients such as EC2, Simple Storage Service, Elastic Load Balancer, CloudFront, CloudFormation and many. Apart from all of this, i have solid experience on working on Linux Platform.

I have also been involved in training for IT Graduates students on Web Development as well.

In my courses, i will try my best to share my knowledge gathered over the last 10 years with my students. So Keep Yourself Learning.

Expected Outcomes

  1. 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 Course content 9 sections • 36 lectures • 2h 57m total length Expand all sections Introduction 2 lectures • 9min Course Overview Preview 06:58 Features of Google Kubernetes Engine (GKE) 02:23 Google Cloud Platform (GCP) 4 lectures • 38min Introducing Google Cloud Platform (GCP) 07:55 Introducing Google Cloud Shell 10:55 Creating Virtual Machine in GCP 07:35 Load Balancing in GCP 11:41 Assessment 5 questions Deploying Application with Google Kubernetes Engine 5 lectures • 53min Docker in a Nutshell 16:29 Introducing Google Kubernetes Engine (GKE) 07:55 Deploying a Microservice Application on Google Kubernetes Engine 07:35 Rolling Update Vs Blue Green Deployment Vs Canary Deployment 09:29 Implementing Continuous Delivery Pipeline on GKE with Jenkins-X 11:23 Quiz 5 questions Assessments: Deploying a Multi-Tier Web Application 4 lectures • 21min Tasks Preview 03:03 Assignment One: Building a Docker Image 08:32 Assignment Two: Deploying the Application 01:41 Solution: Deploying the Application 07:39 Cluster Administration 8 lectures • 14min Section Overview 01:07 Managing GKE Cluster 02:09 Configuring GKE Cluster 03:38 Resizing GKE Cluster 02:25 Managing Node Pools 01:05 Cluster Upgradation 01:12 Cluster Autoscaling 02:06 Deleting GKE Cluster 00:30 Bonus Lectures 1 lecture • 8min Monitoring the Cluster with Kubernetes Dashboard 08:29 Bonus Project - 1 : Deploying Wordpress Application into GKE 5 lectures • 19min Project Overview Preview 04:01 Provisioning Kubernetes Cluster 02:52 Persistent Volume (PV) & Persistent Volume Claim (PVC) 03:43 Google Cloud SQL 02:28 Deploying WordPress Application 05:31 Bonus Project - 2 : Deploying a Slack Chat Bot into GKE 5 lectures • 13min Project Overview 02:41 Slack Workspace 02:29 Chat Bot Application 02:27 Building Docker Image 03:38 Deploying the Chat Bot into GKE 01:41 Conclusion 2 lectures • 2min Learning Resources 01:23 Thank You 00:19 Requirements 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 Description 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. Who this course is for: 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 Show more Show less Instructor Aseef Ahmed AWS, GCP & Azure Certified Cloud Engineer 3.9 Instructor Rating 97 Reviews 826 Students 4 Courses "Keep Yourself Learning"...... I am experienced Web Developer having more than 9+years of experience in web development. I am an AWS, GCP & Azure Certified Cloud Engineer as well as Red Hat Certified Engineer(RHCE) . I have worked with huge number of projects through out this time. I have a solid experience to work with many DevOps tools such as Git, GitHub, Chef, Anisble, Puppet, Jenkins, Terraform, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit and so on. Moreover, i have been working on cloud platform for last few years. I have implemented a number of AWS services for my clients such as EC2, Simple Storage Service, Elastic Load Balancer, CloudFront, CloudFormation and many. Apart from all of this, i have solid experience on working on Linux Platform. I have also been involved in training for IT Graduates students on Web Development as well. In my courses, i will try my best to share my knowledge gathered over the last 10 years with my students. So Keep Yourself Learning . Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67789dda1aef06f1',m:'2644282145341cf24346234e0ba1e5221ccc93b5-1627753277-1800-AW6npkkIKy5H2nD+LqASDKfYL7aDgvMKtqD5nluMLCzIlW9KB2CboA1xJFNj8WiTdL/RXW8RlYL7cnj+6Mm7XvCroZyoXPyDyLXoP0TgikotP+YaAlcSdvgrM0OPWMar0Tk3saSvObv2dG13LA6nHZeokjnnSGJVpkJSerl2OoejOPzijpO+YekOpanh0ma0Gp+1JC1fqRxIVFMvB//ujMI=',s:[0xf053be1c84,0x6ecc5ccbd6],}})();
  2. 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 Course content 9 sections • 36 lectures • 2h 57m total length Expand all sections Introduction 2 lectures • 9min Course Overview Preview 06:58 Features of Google Kubernetes Engine (GKE) 02:23 Google Cloud Platform (GCP) 4 lectures • 38min Introducing Google Cloud Platform (GCP) 07:55 Introducing Google Cloud Shell 10:55 Creating Virtual Machine in GCP 07:35 Load Balancing in GCP 11:41 Assessment 5 questions Deploying Application with Google Kubernetes Engine 5 lectures • 53min Docker in a Nutshell 16:29 Introducing Google Kubernetes Engine (GKE) 07:55 Deploying a Microservice Application on Google Kubernetes Engine 07:35 Rolling Update Vs Blue Green Deployment Vs Canary Deployment 09:29 Implementing Continuous Delivery Pipeline on GKE with Jenkins-X 11:23 Quiz 5 questions Assessments: Deploying a Multi-Tier Web Application 4 lectures • 21min Tasks Preview 03:03 Assignment One: Building a Docker Image 08:32 Assignment Two: Deploying the Application 01:41 Solution: Deploying the Application 07:39 Cluster Administration 8 lectures • 14min Section Overview 01:07 Managing GKE Cluster 02:09 Configuring GKE Cluster 03:38 Resizing GKE Cluster 02:25 Managing Node Pools 01:05 Cluster Upgradation 01:12 Cluster Autoscaling 02:06 Deleting GKE Cluster 00:30 Bonus Lectures 1 lecture • 8min Monitoring the Cluster with Kubernetes Dashboard 08:29 Bonus Project - 1 : Deploying Wordpress Application into GKE 5 lectures • 19min Project Overview Preview 04:01 Provisioning Kubernetes Cluster 02:52 Persistent Volume (PV) & Persistent Volume Claim (PVC) 03:43 Google Cloud SQL 02:28 Deploying WordPress Application 05:31 Bonus Project - 2 : Deploying a Slack Chat Bot into GKE 5 lectures • 13min Project Overview 02:41 Slack Workspace 02:29 Chat Bot Application 02:27 Building Docker Image 03:38 Deploying the Chat Bot into GKE 01:41 Conclusion 2 lectures • 2min Learning Resources 01:23 Thank You 00:19 Requirements 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 Description 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. Who this course is for: 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 Show more Show less Instructor Aseef Ahmed AWS, GCP & Azure Certified Cloud Engineer 3.9 Instructor Rating 97 Reviews 826 Students 4 Courses "Keep Yourself Learning"...... I am experienced Web Developer having more than 9+years of experience in web development. I am an AWS, GCP & Azure Certified Cloud Engineer as well as Red Hat Certified Engineer(RHCE) . I have worked with huge number of projects through out this time. I have a solid experience to work with many DevOps tools such as Git, GitHub, Chef, Anisble, Puppet, Jenkins, Terraform, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit and so on. Moreover, i have been working on cloud platform for last few years. I have implemented a number of AWS services for my clients such as EC2, Simple Storage Service, Elastic Load Balancer, CloudFront, CloudFormation and many. Apart from all of this, i have solid experience on working on Linux Platform. I have also been involved in training for IT Graduates students on Web Development as well. In my courses, i will try my best to share my knowledge gathered over the last 10 years with my students. So Keep Yourself Learning . Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67789dda1aef06f1',m:'2644282145341cf24346234e0ba1e5221ccc93b5-1627753277-1800-AW6npkkIKy5H2nD+LqASDKfYL7aDgvMKtqD5nluMLCzIlW9KB2CboA1xJFNj8WiTdL/RXW8RlYL7cnj+6Mm7XvCroZyoXPyDyLXoP0TgikotP+YaAlcSdvgrM0OPWMar0Tk3saSvObv2dG13LA6nHZeokjnnSGJVpkJSerl2OoejOPzijpO+YekOpanh0ma0Gp+1JC1fqRxIVFMvB//ujMI=',s:[0xf053be1c84,0x6ecc5ccbd6],}})();
  3. 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 Course content 9 sections • 36 lectures • 2h 57m total length Expand all sections Introduction 2 lectures • 9min Course Overview Preview 06:58 Features of Google Kubernetes Engine (GKE) 02:23 Google Cloud Platform (GCP) 4 lectures • 38min Introducing Google Cloud Platform (GCP) 07:55 Introducing Google Cloud Shell 10:55 Creating Virtual Machine in GCP 07:35 Load Balancing in GCP 11:41 Assessment 5 questions Deploying Application with Google Kubernetes Engine 5 lectures • 53min Docker in a Nutshell 16:29 Introducing Google Kubernetes Engine (GKE) 07:55 Deploying a Microservice Application on Google Kubernetes Engine 07:35 Rolling Update Vs Blue Green Deployment Vs Canary Deployment 09:29 Implementing Continuous Delivery Pipeline on GKE with Jenkins-X 11:23 Quiz 5 questions Assessments: Deploying a Multi-Tier Web Application 4 lectures • 21min Tasks Preview 03:03 Assignment One: Building a Docker Image 08:32 Assignment Two: Deploying the Application 01:41 Solution: Deploying the Application 07:39 Cluster Administration 8 lectures • 14min Section Overview 01:07 Managing GKE Cluster 02:09 Configuring GKE Cluster 03:38 Resizing GKE Cluster 02:25 Managing Node Pools 01:05 Cluster Upgradation 01:12 Cluster Autoscaling 02:06 Deleting GKE Cluster 00:30 Bonus Lectures 1 lecture • 8min Monitoring the Cluster with Kubernetes Dashboard 08:29 Bonus Project - 1 : Deploying Wordpress Application into GKE 5 lectures • 19min Project Overview Preview 04:01 Provisioning Kubernetes Cluster 02:52 Persistent Volume (PV) & Persistent Volume Claim (PVC) 03:43 Google Cloud SQL 02:28 Deploying WordPress Application 05:31 Bonus Project - 2 : Deploying a Slack Chat Bot into GKE 5 lectures • 13min Project Overview 02:41 Slack Workspace 02:29 Chat Bot Application 02:27 Building Docker Image 03:38 Deploying the Chat Bot into GKE 01:41 Conclusion 2 lectures • 2min Learning Resources 01:23 Thank You 00:19 Requirements 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 Description 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. Who this course is for: 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 Show more Show less Instructor Aseef Ahmed AWS, GCP & Azure Certified Cloud Engineer 3.9 Instructor Rating 97 Reviews 826 Students 4 Courses "Keep Yourself Learning"...... I am experienced Web Developer having more than 9+years of experience in web development. I am an AWS, GCP & Azure Certified Cloud Engineer as well as Red Hat Certified Engineer(RHCE) . I have worked with huge number of projects through out this time. I have a solid experience to work with many DevOps tools such as Git, GitHub, Chef, Anisble, Puppet, Jenkins, Terraform, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit and so on. Moreover, i have been working on cloud platform for last few years. I have implemented a number of AWS services for my clients such as EC2, Simple Storage Service, Elastic Load Balancer, CloudFront, CloudFormation and many. Apart from all of this, i have solid experience on working on Linux Platform. I have also been involved in training for IT Graduates students on Web Development as well. In my courses, i will try my best to share my knowledge gathered over the last 10 years with my students. So Keep Yourself Learning . Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67789dda1aef06f1',m:'2644282145341cf24346234e0ba1e5221ccc93b5-1627753277-1800-AW6npkkIKy5H2nD+LqASDKfYL7aDgvMKtqD5nluMLCzIlW9KB2CboA1xJFNj8WiTdL/RXW8RlYL7cnj+6Mm7XvCroZyoXPyDyLXoP0TgikotP+YaAlcSdvgrM0OPWMar0Tk3saSvObv2dG13LA6nHZeokjnnSGJVpkJSerl2OoejOPzijpO+YekOpanh0ma0Gp+1JC1fqRxIVFMvB//ujMI=',s:[0xf053be1c84,0x6ecc5ccbd6],}})();
  4. 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 Course content 9 sections • 36 lectures • 2h 57m total length Expand all sections Introduction 2 lectures • 9min Course Overview Preview 06:58 Features of Google Kubernetes Engine (GKE) 02:23 Google Cloud Platform (GCP) 4 lectures • 38min Introducing Google Cloud Platform (GCP) 07:55 Introducing Google Cloud Shell 10:55 Creating Virtual Machine in GCP 07:35 Load Balancing in GCP 11:41 Assessment 5 questions Deploying Application with Google Kubernetes Engine 5 lectures • 53min Docker in a Nutshell 16:29 Introducing Google Kubernetes Engine (GKE) 07:55 Deploying a Microservice Application on Google Kubernetes Engine 07:35 Rolling Update Vs Blue Green Deployment Vs Canary Deployment 09:29 Implementing Continuous Delivery Pipeline on GKE with Jenkins-X 11:23 Quiz 5 questions Assessments: Deploying a Multi-Tier Web Application 4 lectures • 21min Tasks Preview 03:03 Assignment One: Building a Docker Image 08:32 Assignment Two: Deploying the Application 01:41 Solution: Deploying the Application 07:39 Cluster Administration 8 lectures • 14min Section Overview 01:07 Managing GKE Cluster 02:09 Configuring GKE Cluster 03:38 Resizing GKE Cluster 02:25 Managing Node Pools 01:05 Cluster Upgradation 01:12 Cluster Autoscaling 02:06 Deleting GKE Cluster 00:30 Bonus Lectures 1 lecture • 8min Monitoring the Cluster with Kubernetes Dashboard 08:29 Bonus Project - 1 : Deploying Wordpress Application into GKE 5 lectures • 19min Project Overview Preview 04:01 Provisioning Kubernetes Cluster 02:52 Persistent Volume (PV) & Persistent Volume Claim (PVC) 03:43 Google Cloud SQL 02:28 Deploying WordPress Application 05:31 Bonus Project - 2 : Deploying a Slack Chat Bot into GKE 5 lectures • 13min Project Overview 02:41 Slack Workspace 02:29 Chat Bot Application 02:27 Building Docker Image 03:38 Deploying the Chat Bot into GKE 01:41 Conclusion 2 lectures • 2min Learning Resources 01:23 Thank You 00:19 Requirements 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 Description 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. Who this course is for: 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 Show more Show less Instructor Aseef Ahmed AWS, GCP & Azure Certified Cloud Engineer 3.9 Instructor Rating 97 Reviews 826 Students 4 Courses "Keep Yourself Learning"...... I am experienced Web Developer having more than 9+years of experience in web development. I am an AWS, GCP & Azure Certified Cloud Engineer as well as Red Hat Certified Engineer(RHCE) . I have worked with huge number of projects through out this time. I have a solid experience to work with many DevOps tools such as Git, GitHub, Chef, Anisble, Puppet, Jenkins, Terraform, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit and so on. Moreover, i have been working on cloud platform for last few years. I have implemented a number of AWS services for my clients such as EC2, Simple Storage Service, Elastic Load Balancer, CloudFront, CloudFormation and many. Apart from all of this, i have solid experience on working on Linux Platform. I have also been involved in training for IT Graduates students on Web Development as well. In my courses, i will try my best to share my knowledge gathered over the last 10 years with my students. So Keep Yourself Learning . Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67789dda1aef06f1',m:'2644282145341cf24346234e0ba1e5221ccc93b5-1627753277-1800-AW6npkkIKy5H2nD+LqASDKfYL7aDgvMKtqD5nluMLCzIlW9KB2CboA1xJFNj8WiTdL/RXW8RlYL7cnj+6Mm7XvCroZyoXPyDyLXoP0TgikotP+YaAlcSdvgrM0OPWMar0Tk3saSvObv2dG13LA6nHZeokjnnSGJVpkJSerl2OoejOPzijpO+YekOpanh0ma0Gp+1JC1fqRxIVFMvB//ujMI=',s:[0xf053be1c84,0x6ecc5ccbd6],}})();
  5. 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 Course content 9 sections • 36 lectures • 2h 57m total length Expand all sections Introduction 2 lectures • 9min Course Overview Preview 06:58 Features of Google Kubernetes Engine (GKE) 02:23 Google Cloud Platform (GCP) 4 lectures • 38min Introducing Google Cloud Platform (GCP) 07:55 Introducing Google Cloud Shell 10:55 Creating Virtual Machine in GCP 07:35 Load Balancing in GCP 11:41 Assessment 5 questions Deploying Application with Google Kubernetes Engine 5 lectures • 53min Docker in a Nutshell 16:29 Introducing Google Kubernetes Engine (GKE) 07:55 Deploying a Microservice Application on Google Kubernetes Engine 07:35 Rolling Update Vs Blue Green Deployment Vs Canary Deployment 09:29 Implementing Continuous Delivery Pipeline on GKE with Jenkins-X 11:23 Quiz 5 questions Assessments: Deploying a Multi-Tier Web Application 4 lectures • 21min Tasks Preview 03:03 Assignment One: Building a Docker Image 08:32 Assignment Two: Deploying the Application 01:41 Solution: Deploying the Application 07:39 Cluster Administration 8 lectures • 14min Section Overview 01:07 Managing GKE Cluster 02:09 Configuring GKE Cluster 03:38 Resizing GKE Cluster 02:25 Managing Node Pools 01:05 Cluster Upgradation 01:12 Cluster Autoscaling 02:06 Deleting GKE Cluster 00:30 Bonus Lectures 1 lecture • 8min Monitoring the Cluster with Kubernetes Dashboard 08:29 Bonus Project - 1 : Deploying Wordpress Application into GKE 5 lectures • 19min Project Overview Preview 04:01 Provisioning Kubernetes Cluster 02:52 Persistent Volume (PV) & Persistent Volume Claim (PVC) 03:43 Google Cloud SQL 02:28 Deploying WordPress Application 05:31 Bonus Project - 2 : Deploying a Slack Chat Bot into GKE 5 lectures • 13min Project Overview 02:41 Slack Workspace 02:29 Chat Bot Application 02:27 Building Docker Image 03:38 Deploying the Chat Bot into GKE 01:41 Conclusion 2 lectures • 2min Learning Resources 01:23 Thank You 00:19 Requirements 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 Description 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. Who this course is for: 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 Show more Show less Instructor Aseef Ahmed AWS, GCP & Azure Certified Cloud Engineer 3.9 Instructor Rating 97 Reviews 826 Students 4 Courses "Keep Yourself Learning"...... I am experienced Web Developer having more than 9+years of experience in web development. I am an AWS, GCP & Azure Certified Cloud Engineer as well as Red Hat Certified Engineer(RHCE) . I have worked with huge number of projects through out this time. I have a solid experience to work with many DevOps tools such as Git, GitHub, Chef, Anisble, Puppet, Jenkins, Terraform, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit and so on. Moreover, i have been working on cloud platform for last few years. I have implemented a number of AWS services for my clients such as EC2, Simple Storage Service, Elastic Load Balancer, CloudFront, CloudFormation and many. Apart from all of this, i have solid experience on working on Linux Platform. I have also been involved in training for IT Graduates students on Web Development as well. In my courses, i will try my best to share my knowledge gathered over the last 10 years with my students. So Keep Yourself Learning . Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67789dda1aef06f1',m:'2644282145341cf24346234e0ba1e5221ccc93b5-1627753277-1800-AW6npkkIKy5H2nD+LqASDKfYL7aDgvMKtqD5nluMLCzIlW9KB2CboA1xJFNj8WiTdL/RXW8RlYL7cnj+6Mm7XvCroZyoXPyDyLXoP0TgikotP+YaAlcSdvgrM0OPWMar0Tk3saSvObv2dG13LA6nHZeokjnnSGJVpkJSerl2OoejOPzijpO+YekOpanh0ma0Gp+1JC1fqRxIVFMvB//ujMI=',s:[0xf053be1c84,0x6ecc5ccbd6],}})();
  6. 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 Course content 9 sections • 36 lectures • 2h 57m total length Expand all sections Introduction 2 lectures • 9min Course Overview Preview 06:58 Features of Google Kubernetes Engine (GKE) 02:23 Google Cloud Platform (GCP) 4 lectures • 38min Introducing Google Cloud Platform (GCP) 07:55 Introducing Google Cloud Shell 10:55 Creating Virtual Machine in GCP 07:35 Load Balancing in GCP 11:41 Assessment 5 questions Deploying Application with Google Kubernetes Engine 5 lectures • 53min Docker in a Nutshell 16:29 Introducing Google Kubernetes Engine (GKE) 07:55 Deploying a Microservice Application on Google Kubernetes Engine 07:35 Rolling Update Vs Blue Green Deployment Vs Canary Deployment 09:29 Implementing Continuous Delivery Pipeline on GKE with Jenkins-X 11:23 Quiz 5 questions Assessments: Deploying a Multi-Tier Web Application 4 lectures • 21min Tasks Preview 03:03 Assignment One: Building a Docker Image 08:32 Assignment Two: Deploying the Application 01:41 Solution: Deploying the Application 07:39 Cluster Administration 8 lectures • 14min Section Overview 01:07 Managing GKE Cluster 02:09 Configuring GKE Cluster 03:38 Resizing GKE Cluster 02:25 Managing Node Pools 01:05 Cluster Upgradation 01:12 Cluster Autoscaling 02:06 Deleting GKE Cluster 00:30 Bonus Lectures 1 lecture • 8min Monitoring the Cluster with Kubernetes Dashboard 08:29 Bonus Project - 1 : Deploying Wordpress Application into GKE 5 lectures • 19min Project Overview Preview 04:01 Provisioning Kubernetes Cluster 02:52 Persistent Volume (PV) & Persistent Volume Claim (PVC) 03:43 Google Cloud SQL 02:28 Deploying WordPress Application 05:31 Bonus Project - 2 : Deploying a Slack Chat Bot into GKE 5 lectures • 13min Project Overview 02:41 Slack Workspace 02:29 Chat Bot Application 02:27 Building Docker Image 03:38 Deploying the Chat Bot into GKE 01:41 Conclusion 2 lectures • 2min Learning Resources 01:23 Thank You 00:19 Requirements 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 Description 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. Who this course is for: 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 Show more Show less Instructor Aseef Ahmed AWS, GCP & Azure Certified Cloud Engineer 3.9 Instructor Rating 97 Reviews 826 Students 4 Courses "Keep Yourself Learning"...... I am experienced Web Developer having more than 9+years of experience in web development. I am an AWS, GCP & Azure Certified Cloud Engineer as well as Red Hat Certified Engineer(RHCE) . I have worked with huge number of projects through out this time. I have a solid experience to work with many DevOps tools such as Git, GitHub, Chef, Anisble, Puppet, Jenkins, Terraform, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit and so on. Moreover, i have been working on cloud platform for last few years. I have implemented a number of AWS services for my clients such as EC2, Simple Storage Service, Elastic Load Balancer, CloudFront, CloudFormation and many. Apart from all of this, i have solid experience on working on Linux Platform. I have also been involved in training for IT Graduates students on Web Development as well. In my courses, i will try my best to share my knowledge gathered over the last 10 years with my students. So Keep Yourself Learning . Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67789dda1aef06f1',m:'2644282145341cf24346234e0ba1e5221ccc93b5-1627753277-1800-AW6npkkIKy5H2nD+LqASDKfYL7aDgvMKtqD5nluMLCzIlW9KB2CboA1xJFNj8WiTdL/RXW8RlYL7cnj+6Mm7XvCroZyoXPyDyLXoP0TgikotP+YaAlcSdvgrM0OPWMar0Tk3saSvObv2dG13LA6nHZeokjnnSGJVpkJSerl2OoejOPzijpO+YekOpanh0ma0Gp+1JC1fqRxIVFMvB//ujMI=',s:[0xf053be1c84,0x6ecc5ccbd6],}})();
  7. 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 Course content 9 sections • 36 lectures • 2h 57m total length Expand all sections Introduction 2 lectures • 9min Course Overview Preview 06:58 Features of Google Kubernetes Engine (GKE) 02:23 Google Cloud Platform (GCP) 4 lectures • 38min Introducing Google Cloud Platform (GCP) 07:55 Introducing Google Cloud Shell 10:55 Creating Virtual Machine in GCP 07:35 Load Balancing in GCP 11:41 Assessment 5 questions Deploying Application with Google Kubernetes Engine 5 lectures • 53min Docker in a Nutshell 16:29 Introducing Google Kubernetes Engine (GKE) 07:55 Deploying a Microservice Application on Google Kubernetes Engine 07:35 Rolling Update Vs Blue Green Deployment Vs Canary Deployment 09:29 Implementing Continuous Delivery Pipeline on GKE with Jenkins-X 11:23 Quiz 5 questions Assessments: Deploying a Multi-Tier Web Application 4 lectures • 21min Tasks Preview 03:03 Assignment One: Building a Docker Image 08:32 Assignment Two: Deploying the Application 01:41 Solution: Deploying the Application 07:39 Cluster Administration 8 lectures • 14min Section Overview 01:07 Managing GKE Cluster 02:09 Configuring GKE Cluster 03:38 Resizing GKE Cluster 02:25 Managing Node Pools 01:05 Cluster Upgradation 01:12 Cluster Autoscaling 02:06 Deleting GKE Cluster 00:30 Bonus Lectures 1 lecture • 8min Monitoring the Cluster with Kubernetes Dashboard 08:29 Bonus Project - 1 : Deploying Wordpress Application into GKE 5 lectures • 19min Project Overview Preview 04:01 Provisioning Kubernetes Cluster 02:52 Persistent Volume (PV) & Persistent Volume Claim (PVC) 03:43 Google Cloud SQL 02:28 Deploying WordPress Application 05:31 Bonus Project - 2 : Deploying a Slack Chat Bot into GKE 5 lectures • 13min Project Overview 02:41 Slack Workspace 02:29 Chat Bot Application 02:27 Building Docker Image 03:38 Deploying the Chat Bot into GKE 01:41 Conclusion 2 lectures • 2min Learning Resources 01:23 Thank You 00:19 Requirements 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 Description 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. Who this course is for: 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 Show more Show less Instructor Aseef Ahmed AWS, GCP & Azure Certified Cloud Engineer 3.9 Instructor Rating 97 Reviews 826 Students 4 Courses "Keep Yourself Learning"...... I am experienced Web Developer having more than 9+years of experience in web development. I am an AWS, GCP & Azure Certified Cloud Engineer as well as Red Hat Certified Engineer(RHCE) . I have worked with huge number of projects through out this time. I have a solid experience to work with many DevOps tools such as Git, GitHub, Chef, Anisble, Puppet, Jenkins, Terraform, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit and so on. Moreover, i have been working on cloud platform for last few years. I have implemented a number of AWS services for my clients such as EC2, Simple Storage Service, Elastic Load Balancer, CloudFront, CloudFormation and many. Apart from all of this, i have solid experience on working on Linux Platform. I have also been involved in training for IT Graduates students on Web Development as well. In my courses, i will try my best to share my knowledge gathered over the last 10 years with my students. So Keep Yourself Learning . Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67789dda1aef06f1',m:'2644282145341cf24346234e0ba1e5221ccc93b5-1627753277-1800-AW6npkkIKy5H2nD+LqASDKfYL7aDgvMKtqD5nluMLCzIlW9KB2CboA1xJFNj8WiTdL/RXW8RlYL7cnj+6Mm7XvCroZyoXPyDyLXoP0TgikotP+YaAlcSdvgrM0OPWMar0Tk3saSvObv2dG13LA6nHZeokjnnSGJVpkJSerl2OoejOPzijpO+YekOpanh0ma0Gp+1JC1fqRxIVFMvB//ujMI=',s:[0xf053be1c84,0x6ecc5ccbd6],}})();
  8. 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 Course content 9 sections • 36 lectures • 2h 57m total length Expand all sections Introduction 2 lectures • 9min Course Overview Preview 06:58 Features of Google Kubernetes Engine (GKE) 02:23 Google Cloud Platform (GCP) 4 lectures • 38min Introducing Google Cloud Platform (GCP) 07:55 Introducing Google Cloud Shell 10:55 Creating Virtual Machine in GCP 07:35 Load Balancing in GCP 11:41 Assessment 5 questions Deploying Application with Google Kubernetes Engine 5 lectures • 53min Docker in a Nutshell 16:29 Introducing Google Kubernetes Engine (GKE) 07:55 Deploying a Microservice Application on Google Kubernetes Engine 07:35 Rolling Update Vs Blue Green Deployment Vs Canary Deployment 09:29 Implementing Continuous Delivery Pipeline on GKE with Jenkins-X 11:23 Quiz 5 questions Assessments: Deploying a Multi-Tier Web Application 4 lectures • 21min Tasks Preview 03:03 Assignment One: Building a Docker Image 08:32 Assignment Two: Deploying the Application 01:41 Solution: Deploying the Application 07:39 Cluster Administration 8 lectures • 14min Section Overview 01:07 Managing GKE Cluster 02:09 Configuring GKE Cluster 03:38 Resizing GKE Cluster 02:25 Managing Node Pools 01:05 Cluster Upgradation 01:12 Cluster Autoscaling 02:06 Deleting GKE Cluster 00:30 Bonus Lectures 1 lecture • 8min Monitoring the Cluster with Kubernetes Dashboard 08:29 Bonus Project - 1 : Deploying Wordpress Application into GKE 5 lectures • 19min Project Overview Preview 04:01 Provisioning Kubernetes Cluster 02:52 Persistent Volume (PV) & Persistent Volume Claim (PVC) 03:43 Google Cloud SQL 02:28 Deploying WordPress Application 05:31 Bonus Project - 2 : Deploying a Slack Chat Bot into GKE 5 lectures • 13min Project Overview 02:41 Slack Workspace 02:29 Chat Bot Application 02:27 Building Docker Image 03:38 Deploying the Chat Bot into GKE 01:41 Conclusion 2 lectures • 2min Learning Resources 01:23 Thank You 00:19 Requirements 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 Description 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. Who this course is for: 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 Show more Show less Instructor Aseef Ahmed AWS, GCP & Azure Certified Cloud Engineer 3.9 Instructor Rating 97 Reviews 826 Students 4 Courses "Keep Yourself Learning"...... I am experienced Web Developer having more than 9+years of experience in web development. I am an AWS, GCP & Azure Certified Cloud Engineer as well as Red Hat Certified Engineer(RHCE) . I have worked with huge number of projects through out this time. I have a solid experience to work with many DevOps tools such as Git, GitHub, Chef, Anisble, Puppet, Jenkins, Terraform, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit and so on. Moreover, i have been working on cloud platform for last few years. I have implemented a number of AWS services for my clients such as EC2, Simple Storage Service, Elastic Load Balancer, CloudFront, CloudFormation and many. Apart from all of this, i have solid experience on working on Linux Platform. I have also been involved in training for IT Graduates students on Web Development as well. In my courses, i will try my best to share my knowledge gathered over the last 10 years with my students. So Keep Yourself Learning . Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'67789dda1aef06f1',m:'2644282145341cf24346234e0ba1e5221ccc93b5-1627753277-1800-AW6npkkIKy5H2nD+LqASDKfYL7aDgvMKtqD5nluMLCzIlW9KB2CboA1xJFNj8WiTdL/RXW8RlYL7cnj+6Mm7XvCroZyoXPyDyLXoP0TgikotP+YaAlcSdvgrM0OPWMar0Tk3saSvObv2dG13LA6nHZeokjnnSGJVpkJSerl2OoejOPzijpO+YekOpanh0ma0Gp+1JC1fqRxIVFMvB//ujMI=',s:[0xf053be1c84,0x6ecc5ccbd6],}})();
  9. How to Deploy a Slack Chat Bot Application within the Kubernetes Cluster using GKE Course content 9 sections • 36 lectures • 2h 57m total length Expand all sections Introduction 2 lectures • 9min Course Overview Preview 06:58 Features of Google Kubernetes Engine (GKE) 02:23 Google Cloud Platform (GCP) 4 lectures • 38min Introducing Google Cloud Platform (GCP) 07:55 Introducing Google Cloud Shell 10:55 Creating Virtual Machine in GCP 07:35 Load Balancing in GCP 11:41 Assessment 5 questions Deploying Application with Google Kubernetes Engine 5 lectures • 53min Docker in a Nutshell 16:29 Introducing Google Kubernetes Engine (GKE) 07:55 Deploying a Microservice Application on Google Kubernetes Engine 07:35 Rolling Update Vs Blue Green Deployment Vs Canary Deployment 09:29 Implementing Continuous Delivery Pipeline on GKE with Jenkins-X 11:23 Quiz 5 questions Assessments: Deploying a Multi-Tier Web Application 4 lectures • 21min Tasks Preview 03:03 Assignment One: Building a Docker Image 08:32 Assignment Two: Deploying the Application 01:41 Solution: Deploying the Application 07:39 Cluster Administration 8 lectures • 14min Section Overview 01:07 Managing GKE Cluster 02:09 Configuring GKE Cluster 03:38 Resizing GKE Cluster 02:25 Managing Node Pools 01:05 Cluster Upgradation 01:12 Cluster Autoscaling 02:06 Deleting GKE Cluster 00:30 Bonus Lectures 1 lecture • 8min Monitoring the Cluster with Kubernetes Dashboard 08:29 Bonus Project - 1 : Deploying Wordpress Application into GKE 5 lectures • 19min Project Overview Preview 04:01 Provisioning Kubernetes Cluster 02:52 Persistent Volume (PV) & Persistent Volume Claim (PVC) 03:43 Google Cloud SQL 02:28 Deploying WordPress Application 05:31 Bonus Project - 2 : Deploying a Slack Chat Bot into GKE 5 lectures • 13min Project Overview 02:41 Slack Workspace 02:29 Chat Bot Application 02:27 Building Docker Image 03:38 Deploying the Chat Bot into GKE 01:41 Conclusion 2 lectures • 2min Learning Resources 01:23 Thank You 00:19 Requirements 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 Description 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. Who this course is for: 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 Show more Show less Instructor Aseef Ahmed AWS, GCP & Azure Certified Cloud Engineer 3.9 Instructor Rating 97 Reviews 826 Students 4 Courses "Keep Yourself Learning"...... I am experienced Web Developer having more than 9+years of experience in web development. I am an AWS, GCP & Azure Certified Cloud Engineer as well as Red Hat Certified Engineer(RHCE) . I have worked with huge number of projects through out this time. I have a solid experience to work with many DevOps tools such as Git, GitHub, Chef, Anisble, Puppet, Jenkins, Terraform, AWS CodePipeline, AWS CodeBuild, AWS CodeCommit and so on. Moreover, i have been working on cloud platform for last few years. I have implemented a number of AWS services for my clients such as EC2, Simple Storage Service, Elastic Load Balancer, CloudFront, CloudFormation and many. Apart from all of this, i have solid experience on working on Linux Platform. I have also been involved in training for IT Graduates students on Web Development as well. In my courses, i will try my best to share my knowledge gathered over the last 10 years with my students. So Keep Yourself Learning . 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