
In this lesson, you will have information about detailed course Objectives, the course description based on the Objectives, Course Target Audience, Prerequisites for taking up this course, detailed Course Schedule and Practice Environment used in the course to do the activities.
In this lesson, you’ll learn about GCP and its Features, Types of GCP Services, GCP Architecture and Core Components in GCP, Region and Zones, Google Kubernetes Engine (GKE) and its features, Cluster Orchestration with GK and cluster management features in GKE.
In this practice, you will learn how to create and access the Google Cloud Platform Console (GCP), and create a project in the GCP.
In this lesson, you’ll learn about Prerequisites for Kubernetes Cluster in GCP, further understanding of Google Cloud Shell, the steps to create and Configure Kubernetes Cluster on GCP, and Steps for connecting to the cluster from Google Cloud Shell.
In this practice, you will learn how to create a Kubernetes Cluster on Google Cloud Platform Console (GCP).
In this practice, you will learn how to access a Kubernetes Cluster on Google Cloud Platform through kubectl.
In this lesson, you’ll get to know the introduction to Container Image. Further, will explore on Images to deploy, steps for building the container image for the application, steps for pushing the container image to GCP repository and deploy container image and, access the application deployed.
In this practice, you will learn how to build the Kubernetes container image (Docker Image) in the Google Cloud Platform.
In this practice, you will learn how to deploy and manage an application on a Google Kubernetes Engine (GKE) cluster.
In this lesson, you’ll have a brief explanation about Scaling, in Scaling-Up Kubernetes Deployment in Cluster. You should be able to list Pods in Cluster, Scale Up Kubernetes Deployment, Verify the Deployment, Verify the Pods within GCP console. In Scaling-Down Kubernetes Deployment in Cluster. You’ll learn to Scale down the Kubernetes Deployment, List Deployments after Scaling down, Verify pods within the GCP console.
In this practice, you will learn how to scale-up the Kubernetes deployment in the Google Kubernetes cluster.
In this practice, you will learn how to scale-down the Kubernetes deployment in the Google Kubernetes cluster.
In this lesson, You’ll explore about Kubernetes ConfigMaps, to create ConfigMaps from literal values, create ConfigMaps containing Multiple key-value pairs in YAML file, understand the ConfigMaps and Pods, deploying a Pod with Container Environment Variables created as ConfigMap, Kubernetes Secrets to deploy Pods in GKE Cluster, different ways to Use Secrets with in Pod, Create Secrets from Literal Values and further deploying a Pod with Container Environment Variables as Secrets.
In this practice, you will learn how to create ConfigMaps consisting of data to deploy the pods in Google Kubernetes Engine cluster.
In this practice, you will learn how to create secrets to encrypt the sensitive information in the Google Kubernetes Engine cluster.
In this lesson, you’ll get to know about the Namespaces, list of namespaces in Cluster, create Namespaces in Cluster and deploy Pod in Namespaces further list all the Pods in all different Namespaces of Cluster, further understanding of Multi-Container Pods and Steps for Communicating between containers in a Pod.
In this practice, you will learn how to create and access the namespaces in the GKE Kubernetes Cluster on Google Cloud Platform (GCP).
In this practice, you will learn how to deploy the Multi-container pod and access it in the Kubernetes Cluster on Google Cloud Platform through kubectl.
Google Cloud Platform is a suite of Cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products.
GCP provides a scalable range of computing options you can tailor to match your needs. It provides highly customizable virtual machines and the option to deploy your code directly or via containers. It is a set of management tools that provides a series of modular cloud services including computing, data storage, Data Analytics and Machine Learning.
In this course, you will learn the fundamentals of GCP Service, how to access the Google Cloud Platform, create Kubernetes Cluster on GCP and access it through Kubectl, understanding the Architecture of GCP and types of GCP services.
Further creating Kubernetes cluster on GCP and accessing the Kubernetes cluster on GCP through kubectl, building the Kubernetes Container image in GKE cluster to deploy the application on GKE cluster. Explore on Scaling, Implementing Scaling-Up and Scaling-down of Kubernetes Deployments in Cluster, further understanding of deploying Pods using ConfigMaps consisting of data and using secrets to encrypt the sensitive information in GKE cluster and further create and access the Namespaces in GKE cluster and create Multi-container Pods on Google Kubernetes Engine Cluster.