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

In this video, we are going to highlight the very basic but various exciting features of Google Cloud Platform.

This video will focus on Google’s very own command line interface known as gcloud that can be used to interact with GCP services from the terminal.

In this video, we are going to learn how to create virtual machines using a widely known GCP’s services known as Google Compute Engine.

In this video, we are going to learn different aspects of network load balancer and HTTPS load balancer and how to implement them for our demo application that running on GCP’s Virtual Machines

This video will give you some high level overview of various docker commands to interact with docker images and container

This video will highlight some core features of Google Kubernetes Engine (GKE).

In this video, you are going to learn the process of deploying a micro-service based application in a Kubernetes cluster and how Google Kubernetes Engine can leverage the deployment process.

This video with talk about a number of deployment strategies that can be implemented within Google Kubernetes Engine (GKE)

In this video, we will get to know how to set up a continuous delivery pipeline with Jenkins-x in Kubernetes engine.

This video will illustrate the steps that need to be gone through as a part of the assignment

This video will show how to build a docker image using Dockerfile followed by how to push that image into Google Container Registry (GCR)

This video will illustrate the steps that need to be gone through

This video will show how to deploy the Guest Book Application into Google Kubernetes Engine (GKE)

we can administer the who GKE cluster either from web console, or from the gcloud command-line interface, or the GKE APIs. basically, GKE cluster administration covers a wide range of tasks

In this video, we will see how to manage kubernetes clusters in Google Kubernetes Engine. Before we move on, make sure you have enabled google kubernetes engine API. also, you need to make sure default project and zone has been set. Also make sure, billing is enabled for this project

This video will show you how to configure cluster access for kubectl command-line tool in Google Kubernetes Engine.

In this video, i will talk about resizing the kubernetes clusters within google kubernetes engine. we can resize the cluster by increasing or decreasing the number of nodes of that cluster.

In this video, we will see how to manage node pools from the gcloud CLI

Generally, Google Kubernetes Engine clusters and node pools are upgraded automatically by Google itself. However, it's possible to manually upgrade or downgrade a GKE cluster and its nodes.

In this video, we will learn, how to autoscale a Google Kubernetes Engine clusters using autoscaler.

Deleting a kubernetes cluster is very straight forward. We just need to execute gcloud container clusters delete command followed by the cluster name that needs to be deleted.

In this lab, we will deploy a Kubernetes Dashboard within our Kubernetes Cluster. It's just like a graphical user interface to communicate with the Kubernetes cluster. It will let us managing our applications that run in the cluster and troubleshoot them, as well as managing the cluster itself.

Before docker containers, in traditional environment, Wordpress used to be installed by downloading a zip file from the Official website of Wordpress followed by extracting that zipped file and then placing them in somewhere within the web server.

it's time to create a kubernetes cluster from the Google Cloud Shell. This step is required to follow along the project.

in this video, we will create Persistent Volume and Persistent Volume claim

In this video, we are going to provision a database instance of Cloud SQL to store the data associated with our Wordpress application.

Welcome to the big part of this project which is deploying the WordPress application into the cluster.

In this lab we will learn how to build a Slack bot using the Botkit tool and run it on Google Cloud Platform. As soon as we finish this project, We will be able to deploy the bot into a kubernetes cluster and then we can interact with the bot in a live Slack channel.

In this video, we will deal with Slack workspace

Here we will see a demo of our chat bot application

In this video, we are going to see how to build an image based on our chat bot application

In this last part of the project, we are going to see how we can deploy that chat bot application into Google Kubernetes Engine