Kubernetes on GCP (Mar 2023)

Kubernetes cluster, Building Container Images, GCP Repository, Scaling, ConfigMaps, Multi-Container Pods, Namespaces

Ratings 3.52 / 5.00

What You Will Learn!

Create Kubernetes Clusters on GCP
Access Kubernetes Cluster on GCP through Kubectl
Build Kubernetes Container Image in GKE cluster
Deploy the application on GKE cluster
Scale-up and Scale-Down Kubernetes Deployments in Cluster
Deploy Pods using Config Maps consisting of Data
Use Secrets to Encrypt sensitive Information in GKE Cluster
Create and access Namespaces in GKE Cluster
Create Multi-container Pods on GKE Cluster
Access Multi-container Pods from the Cluster

Description

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.