Architecting with Google Kubernetes Engine

Learn everything you need to know about deploying essential solutions and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud.

google badge
Book this course
R13,950 ex VAT
Loading...
3 day course
Partner of the Year
Virtual, Private
Virtual Classroom
A convenient and interactive learning experience, that enables you to attend one of our courses from the comfort of your own home or anywhere you can log on. We offer Virtual Classroom on selected live classroom courses where this will appear as an option under the location drop down if available. These can also be booked as Private Virtual Classrooms for exclusive business sessions.
Private
A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

As an authorized Google Cloud Training Partner, we’ve been selected by Google to facilitate the delivery of this three-day Kubernetes course.

Through a combination of presentations, demos, and hands-on labs, you’ll explore and deploy solution elements, including infrastructure components such as networks, Pods, containers, and application services.

We’ll also show you how to deploy practical solutions including security and access management, resource management, and resource monitoring.

Our Architecting with Google Kubernetes Engine course is delivered via Virtual Classroom. We also offer it as a private training session that can be delivered virtually or at a location of your choice in South Africa.

Course overview

Who should attend:

This course is suitable for Cloud architects, administrators, and those working in SysOps / DevOps. It’s also ideal for individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure.

What you'll learn:

By the end of this course, you will be able to:

  • Explain how software containers work, as well as the architecture of Kubernetes and Google Cloud
  • Understand how Pod networking works in Kubernetes Engine
  • Create and manage Kubernetes Engine clusters using the Google Cloud Console and gcloud / kubectl commands
  • Launch, roll back and expose jobs in Kubernetes
  • Manage access control using Kubernetes RBAC and Google Cloud IAM
  • Manage Pod security policies and network policies
  • Use Secrets and ConfigMaps to isolate security credentials and configuration artifacts
  • Understand Google Cloud choices for managed storage services
  • Monitor applications running in Kubernetes Engine

Prerequisites

To get the most of out of this course, you should have:

Course agenda

Module 1: Introduction to Google Cloud
  • The Google Cloud Console
  • Cloud Shell
  • Define cloud computing
  • Identify Google Cloud's compute services
  • Regions and zones
  • The cloud resource hierarchy
  • Administer your Google Cloud resources
Module 2: Containers & Kubernetes in Google Cloud
  • Create a container using Cloud Build
  • Store a container in Container Registry
  • The relationship between Kubernetes and Google Kubernetes Engine (GKE)
  • How to choose among Google Cloud compute platforms
Module 3: Kubernetes Architecture
  • The architecture of Kubernetes: Pods, namespaces
  • The control-plane components of Kubernetes
  • Create container images using Google Cloud Build
  • Store container images in Google Container Registry
  • Create a Kubernetes Engine cluster
Module 4: Kubernetes Operations
  • Work with the kubectl command
  • Inspect the cluster and Pods
  • View a Pod’s console output
  • Sign in to a Pod interactively
Module 5: Deployments, Jobs & Scaling
  • Create and use Deployments
  • Create and run Jobs and CronJobs
  • Scale clusters manually and automatically
  • Configure Node and Pod affinity
  • Get software into your cluster with Helm charts and Kubernetes Marketplace
Module 6: GKE Networking
  • Create services to expose applications that are running within Pods
  • Use load balancers to expose Services to external clients
  • Create ingress resources for HTTP(S) load balancing
  • Leverage container-native load balancing to improve Pod load balancing
  • Define Kubernetes network policies to allow and block traffic to Pods
Module 7: Persistent Data & Storage
  • Use Secrets to isolate security credentials
  • Use ConfigMaps to isolate configuration artifacts
  • Push out and roll back updates to Secrets and ConfigMaps
  • Configure Persistent Storage Volumes for Kubernetes Pods
  • Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts
Module 8: Access Control & Security in Kubernetes & Kubernetes Engine
  • Kubernetes authentication and authorization
  • Kubernetes RBAC roles and role bindings for accessing resources in namespaces
  • Kubernetes RBAC cluster roles and cluster role bindings for accessing cluster-scoped resources
  • Define Kubernetes Pod security policies
  • The structure of GCP IAM
  • IAM roles and policies for Kubernetes Engine cluster administration
Module 9: Logging & Monitoring
  • Use Cloud Monitoring to monitor and manage availability and performance
  • Locate and inspect Kubernetes logs
  • Create probes for wellness checks on live applications
Module 10: Using Google Cloud Managed Storage Services from Kubernetes Applications
  • Pros and cons for using a managed storage service versus self-managed containerized storage
  • Enable applications running in GKE to access GCP storage services
  • Use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and BigQuery from within a Kubernetes application
Module 10: Infrastructure Automation
  • Automate the deployment of Google Cloud services using Deployment Manager or Terraform
  • Outline the Google Cloud Marketplace
Module 11: Using CI / CD with Google Kubernetes Engine
  • Understand pros and cons for using a managed storage service vs. self-managed containerized storage
  • Enable applications running in GKE to access Google Cloud storage services
  • Understand use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and BigQuery from within a Kubernetes application

Upcoming courses

Tue, Sep 03 2024.Virtual Classroom
Architecting with Google Kubernetes Engine
R17,950 ex VAT
Tue, Jan 07 2025.Virtual Classroom
Architecting with Google Kubernetes Engine
R17,950 ex VAT
Wed, May 07 2025.Virtual Classroom
Architecting with Google Kubernetes Engine
R17,950 ex VAT
close
Don't miss out
Keep up to date with news, views and offers from Jellyfish Training.
Your data will be handled in accordance with our Privacy Policy