Home » Google Kubernetes Engine(GKE):A Practical Lab-Based Approach

Google Kubernetes Engine(GKE):A Practical Lab-Based Approach

Published 9/2023

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Published: Last Updated on

–Udemy Training–
Published 9/2023
Duration: 5h 45m | .MP4 | 720p | Language: English
Google GKE, Kubernetes, Label, Selectors, Scaling, Replication, Depl GBoyment, Rollback, Networking, Services, Volumes etc.

What you’ll learn
How Should a Kubernetes Cluster Be Managed?
Making a Kubernetes Cluster from Scratch “The Hard Way”
Setup of Kubernetes Cluster in GCP Environment
Components of Control Plane – API Server, Etcd, Scheduler, Controller Manager
You will be able to understand the architecture of the Kubernetes cluster
You will be able to set up a Kubernetes cluster in GCP
You will be able to understand the concepts of Kubernetes in Google Cloud Platform (GCP)
You will be able to implement the Pod Restart Policy
You will be able to implement Labels and Selectors in Kubernetes
You will be able to create GKE Standard and Autopilot clusters
You will learn to implement Kubernetes Storage with Google Persistent Disks
You will be able to implement to upgrade the application using deployment object
You will practically learn Kubernetes Services: ClusterIP, Nodeport and LoadBalancer

PC or Laptop with internet Connection
Must have an account on Google Cloud Platform (GCP)
You don’t need to have any basic knowledge of Kubernetes. Course will get started from very very basics of Kubernetes and take you to very advanced levels
Motivation to Learn Docker, Kubernetes, DevOps required

Welcome to this amazing course on
Google Kubernetes Engine (GKE)
with various real-time lab sessions.
Google Kubernetes Engine (GKE) is the simplest and most common way of setting up a Kubernetes Cluster in GCP.
Below is the list of modules covered in this course.

Who this course is for:
If you are a beginner and interested in learning Kubernetes with Google Cloud Platform (GCP)
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

More info: https://www.udemy.com/course/google-gke





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