Architecture with Google Kubernetes Engine

Get started with Google Kubernetes Engine. In this training, use Docker containers, deploy them to Kubernetes clusters and scale those workloads.
Private session

This training is available in a private or personalized format. It can be provided in one of our training centres or at your offices. Call one of our consultants of submit a request online.

Call now at 1 877 624.2344

  • Duration: 3 days
  • Regular price: On request

Course outline

Duration : 3 days

This three-day instructor-led class introduces participants to deploying and managing
containerized applications on Google Kubernetes Engine (GKE) and the other services
provided by Google Cloud Platform. Through a combination of presentations, demos, and
hands-on labs, participants explore and deploy solution elements, including infrastructure
components such as pods, containers, deployments, and services; as well as networks and
application services. This course also covers deploying practical solutions including
security and access management, resource management, and resource monitoring.


This class is intended for the following participants: Cloud architects, administrators, and SysOps/DevOps personnel, Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.


To get the most out of this course, participants should have: Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience Basic proficiency with command-line tools and Linux operating system environment.


This course teaches participants the following skills:
• Understand how software containers work Understand the architecture of
• Understand the architecture of Google Cloud Platform Understand how pod
networking works in Kubernetes Engine
• Create and manage Kubernetes Engine clusters using the GCP Console and
gcloud/ kubectl commands Launch, roll back and expose jobs in Kubernetes
Manage access control using Kubernetes RBAC and Google Cloud IAM
• Managing pod security policies and network policies Using Secrets and
ConfigMaps to isolate security credentials and configuration artifacts
• Understand GCP choices for managed storage services
• Monitor applications running in Kubernetes Engine


Introduction to Google Cloud Platform
• Use the Google Cloud Platform Console
• Use Cloud Shell
• Define cloud computing
• Identify GCPs compute services
• Understand regions and zones
• Understand the cloud resource hierarchy
• Administer your GCP resources
Containers and Kubernetes in GCP
• Create a container using Cloud Build
• Store a container in Container Registry
• Understand the relationship between Kubernetes and Google Kubernetes Engine
• Understand how to choose among GCP compute platforms
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
Kubernetes Operations
• Work with the kubectl command
• Inspect the cluster and Pods
• View a Pods console output
• Sign in to a Pod interactively
Deployments, Jobs, and 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
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
Persistent Data and 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
Access Control and Security in Kubernetes and Kubernetes Engine
• Understand Kubernetes authentication and authorization
• Define Kubernetes RBAC roles and role bindings for accessing resources in
• Define Kubernetes RBAC cluster roles and cluster role bindings for accessing
cluster-scoped resources
• Define Kubernetes pod security policies
• Understand the structure of GCP IAM
• Define IAM roles and policies for Kubernetes Engine cluster administration
Logging and Monitoring
• Use Stackdriver to monitor and manage availability and performance
• Locate and inspect Kubernetes logs
• Create probes for wellness checks on live applications
Using GCP Managed Storage Services from Kubernetes Applications
• Understand pros and cons for using a managed storage service versus self managed containerized storage
• Enable applications running in GKE to access GCP storage services
• Understand use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud
Bigtable, Cloud Firestore, and Bigquery from within a Kubernetes application.

Surround yourself with the best

Pierre-Edouard Brondel
Pierre-Edouard Brondel
Trainer and Desktop Application Consultant
Renowned as an educational expert in the IT and office technology field who has accumulated more than 25 years of experience, Pierre-Édouard is first and foremost passionate about human capital.
Marc Maisonneuve
Marc Maisonneuve
Trainer and Professional Efficiency Consultant
Frédéric Paradis
Frédéric Paradis
Certified Trainer and Cloud Architect
As a certified Microsoft trainer, Frédéric describes himself as a Cloud magician who easily navigates the mythical space between technology and reality.
Luc Labelle
Certified Trainer and IT Consultant
Recognized by his peers as an inspiring coach, trainer, and consultant, Luc is able to transfer his knowledge to benefit his teams.
Be aware of trends, innovations and best practices, every month.
Training center accredited by Emploi-Québec, Accreditation : 0051460
GST : 141582528 – QST : 1019557738
© 2020 AFI
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