Google Kubernetes Engine (GKE) – A Complete Practical Guide

Google Cloud Platform, Google GKE, Kubernetes in GCP, Ingress, Gateway, Cloud SQL Auth Proxy, FUSE, Scaling,Loadbalacing
What you'll learn:
You will know everything that you need to know about Google Kubernetes Engine (GKE)
Course full of Demos and practical implementation of GKE
This course covers all the aspects of GKE including newer features like Gateway, FUSE and many more
Understand how to attach a Persistent Disk or Google File Store to a pod using Volume
Perform Cloud Storage Bucket integration ( using FUSE) with GKE Pods
Various aspects of connecting to Cloud SQL
Implement connecting to SQL with Cloud SQL Auth Proxy as both sidecar and service implementation
Scaling options in GKE including Horizontal Pod Autoscaling, Vertical Pod Autoscaling, Nodepool Scaling, Cluster Autoscalling
RBAC Implementation in GKE with example
All the aspects of Security in a GKE cluster
Kubernetes Ingress implemetation
Kubernetes Gateway implementation
Securing your application with Certificates
Public GKE Cluster and Private GKE Cluster
Autopilot GKE Cluster and Standard GKE Cluster
Release management in GKE with Kubernetes upgrade process
Real world implementation of GKE
Workload Identity in GCP
Requirements:
Basic of Google Cloud Platform
Minimal Kubernetes idea
Description:
A complete course on GKE which covers all the aspects of Google Kubernetes Engine (GKE) with demos and practical implementation.Teaches basic of Kubernetes along with GKE implementation. This course covers real world implementation of GKE in a corporate environment. Learn how to use GKE in your workCovers topic:Different type of GKE clusterPublic Cluster, Private Cluster, Standard GKE Cluster, Autopilot GKE Cluster, Regional Cluster, Zonal ClusterImplementing GKE topics with sample app for each understandingKubernetes Ingress implementation in GKEKubernetes Gateway implementation in GKEAttach a Persistent Disk to a pod as VolumeAttach a Filestore to a pod as VolumeAttach a GCP Bucket ( Cloud Storage) to a pod as Volume using FUSEDifferent type of Services in Kubernetes and loadbalancer implementationRBAC implementation in GKE Kubernetes cluster upgrade processRelease managementCloud SQL connection option ( secure and insecure) from GKEWorkload IdentityCloud SQL Auth ProxySidecar container implementationHorizontal Pod AutoscalingVertical Pod AutoscalingGKE cluster autoscalingAutopilot Cluster with merits and limitationsSecurity Posture ManagementWorkload Scanning in GKEService Account best practice in GCP and KubernetesRBAC with roles and responsibility with demoRelease channel in GKEExposing application with loadbalancer
Who this course is for:
Anyone looking to learn Kubernetes and Google Kubernetes Engine from basic
Google Cloud implementation of Kubernetes
Homepage

https://www.udemy.com/course/google-kubernetes-engine-gke-a-complete-practical-guide/