Google Kubernetes Engine (GKE)

Overview

Master Google Kubernetes Engine with our comprehensive course: Learn to deploy, administer, secure, and optimize workloads on GKE and effectively leverage the power of containerization and Kubernetes orchestration in a Google Cloud environment

COURSE DIFFICULTY

Beginner

COURSE DURATION

5h 30m

SKILLS LEARNED
COURSE OUTLINE

Skills Learned

After completing this online training course, students will be able to:

01. High Level Overview

Google Kubernetes Engine: A Google Managed Service
Google Kubernetes Engine: Architecture

02. Playground Instructions

General Instructions – Cloud Shell
General Instructions – GKE Playground
General Instructions – Linux Machine

03. GKE Deployment and Administration

GKE modes of operation
Demo: Creating our First GKE cluster
Prepare the cluster for accessibility and management
Demo: Install kubectl and configure cluster access
Demo: Apply labels and tags to GKE clusters
Plan to scale: Cluster autoscaling and Node auto-provisioning
Demo: Configure cluster autoscaling
Upgrading your GKE cluster and node pools
Demo: Manually upgrade a GKE cluster or a node pool
Monitoring and Logging: Cloud Operations for GKE

04. Networking for GKE clusters

Plan your network for GKE
Isolate your environment using GKE private clusters
Demo: Creating a private cluster with limited public endpoint access
VPC native and Route-based cluster
Demo: Create a VPC-native cluster and configure max allowed pods
Load Balancing GKE Traffic: Ingress
Demo: Configure container-native load balancing using Ingress
Load Balancing GKE Traffic: Services
Demo: Configure a backend service-based external load balancer

05. Managing Security Aspects

GKE shared responsibility model (04:19)
Authentication and authorization in GKE
How to protect your GKE cluster components using Network Policies
Demo: Using network policies to restrict communication between pods and services
Control encryption of sensitive data on GKE

06. Plan, Deploy, and Manage Workloads on GKE

Plan workload deployment to GKE
Migrate workloads to GKE
Control workload deployments using node taints
Demo: Creating node taints on a GKE cluster
Performing rolling updates on a GKE Cluster
Demo: Managing a rolling update on GKE cluster

07. GKE Design Considerations

High Availability clusters
Cluster Multi-Tenancy
Istio on GKE and Anthos Service Mesh
Backing up your GKE cluster

SKILLS LEARNED

Skills Learned

After completing this online training course, students will be able to:

COURSE OUTLINE

01. High Level Overview

Google Kubernetes Engine: A Google Managed Service
Google Kubernetes Engine: Architecture

02. Playground Instructions

General Instructions – Cloud Shell
General Instructions – GKE Playground
General Instructions – Linux Machine

03. GKE Deployment and Administration

GKE modes of operation
Demo: Creating our First GKE cluster
Prepare the cluster for accessibility and management
Demo: Install kubectl and configure cluster access
Demo: Apply labels and tags to GKE clusters
Plan to scale: Cluster autoscaling and Node auto-provisioning
Demo: Configure cluster autoscaling
Upgrading your GKE cluster and node pools
Demo: Manually upgrade a GKE cluster or a node pool
Monitoring and Logging: Cloud Operations for GKE

04. Networking for GKE clusters

Plan your network for GKE
Isolate your environment using GKE private clusters
Demo: Creating a private cluster with limited public endpoint access
VPC native and Route-based cluster
Demo: Create a VPC-native cluster and configure max allowed pods
Load Balancing GKE Traffic: Ingress
Demo: Configure container-native load balancing using Ingress
Load Balancing GKE Traffic: Services
Demo: Configure a backend service-based external load balancer

05. Managing Security Aspects

GKE shared responsibility model (04:19)
Authentication and authorization in GKE
How to protect your GKE cluster components using Network Policies
Demo: Using network policies to restrict communication between pods and services
Control encryption of sensitive data on GKE

06. Plan, Deploy, and Manage Workloads on GKE

Plan workload deployment to GKE
Migrate workloads to GKE
Control workload deployments using node taints
Demo: Creating node taints on a GKE cluster
Performing rolling updates on a GKE Cluster
Demo: Managing a rolling update on GKE cluster

07. GKE Design Considerations

High Availability clusters
Cluster Multi-Tenancy
Istio on GKE and Anthos Service Mesh
Backing up your GKE cluster

Google Kubernetes Engine (GKE)

Overview

Skills Learned

Skills Learned

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