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Architecting with Google Kubernetes Engine

Length 2 days
Price NZD 1800 exc GST

Course overview

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Why study this course

In this course students learn how to deploy and manage containerised applications on Google Kubernetes Engine (GKE) and the other tools on Google Cloud.

This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements - including infrastructure components like pods, containers, deployments, and services - along with networks and application services. You’ll also learn how to deploy practical solutions, including security and access management, resource management, and resource monitoring.

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What you’ll learn

This course teaches participants the following skills:

Understand how software containers work.
Understand the architecture of Kubernetes.
Understand the architecture of Google Cloud.
Understand how pod networking works in Google Kubernetes Engine.
Create and manage Google Kubernetes Engine clusters using the Cloud Console and gcloud/ kubectl commands.
Launch, roll back and expose jobs in Kubernetes.
Manage access control using Kubernetes RBAC and 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 Google Kubernetes Engine.

Google Cloud at Lumify Work

Lumify Work is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test, and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, Lumify Work can support you through training wherever you are in your Cloud adoption journey.

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Who is the course for?

This course is intended for the following participants:

Cloud Architects, Administrators, and SysOps/DevOps Personnel
Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud.

Course subjects

Module 1: Introduction to Google Cloud

Use the Google Cloud Console
Use Cloud Shell
Define cloud computing
Identify Google Cloud compute services
Understand regions and zones
Understand the cloud resource hierarchy
Administer your Google Cloud resources

Module 2: Containers and Kubernetes in Google Cloud

Create a container using Cloud Build
Store a container in Container Registry
Understand the relationship between Kubernetes and Google Kubernetes Engine (GKE)
Understand how to choose among Google Cloud Compute platforms

Module 3: Kubernetes Architecture

Understand the architecture of Kubernetes: pods, namespaces
Understand 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 Pods console output
Sign in to a Pod interactively

Module 5: Deployment, Jobs, and Scaling

Deployments
Ways to create deployments
Services and scaling
Updating deployments
Rolling updates
Blue/green deployments
Canary deployments
Managing deployments
Jobs and CronJobs
Parallel Jobs
CronJobs
Cluster scaling
Downscaling
Node pools
Controlling pod placement
Affinity and Anti-Affinity
Pod placement example
Taints and tolerations
Getting software into your cluster

Module 6: GKE Networking

Introduction
Pod networking
Services
Finding services
Service types and load balancers
How load balancers work
Ingress resource
Container-native load balancing
Network security

Module 7: Persistent Data and Storage

Volumes
Volume types
The PersistentVolume abstraction
More on PersistentVolumes
StatefulSets
ConfigMaps
Secrets

Module 8: Access Control and Security in Kubernetes and Kubernetes Engine

Understand Kubernetes authentication and authorisation
Define Kubernetes RBAC roles and role bindings for accessing resources in namespaces
Define Kubernetes RBAC cluster roles and cluster role bindings for accessing cluster-scoped resources
Define Kubernetes pod security policies
Understand the structure of IAM
Define IAM roles and policies for Kubernetes Engine cluster administration

Module 9: Logging and 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

Understand pros and cons for using a managed storage service versus self-managed containerised 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

Module 11: Using CI/CD with Google Kubernetes Engine

CI/CD overview
CI/CD for Google Kubernetes Engine
CI/CD Examples

Prerequisites

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

Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.