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Course : Architecting with Google Kubernetes Engine

Official course, preparation for Google Cloud certification exams

Practical course - 2d - 14h00 - Ref. AGL
Price : 1980 € E.T.

Architecting with Google Kubernetes Engine

Official course, preparation for Google Cloud certification exams


New edition of the course schedule

With this training course, you'll learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE). You'll also learn how to use other tools on Google Cloud that interact with GKE deployments. Through a variety of hands-on exercises, you'll deploy solution elements: infrastructure components such as pods, containers, deployments and services, as well as networks and application services, and also security and access management, resource management and resource monitoring.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Available in English on request

Ref. AGL
  2d - 14h00
1980 € E.T.




With this training course, you'll learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE). You'll also learn how to use other tools on Google Cloud that interact with GKE deployments. Through a variety of hands-on exercises, you'll deploy solution elements: infrastructure components such as pods, containers, deployments and services, as well as networks and application services, and also security and access management, resource management and resource monitoring.


Teaching objectives
At the end of the training, the participant will be able to:
Create and manage workloads in Google Kubernetes Engine (GKE)
Understanding pod networking in GKE
Using the main Kubernetes storage abstractions
Manage application authentication, authorization, security and monitoring in GKE
Configuring CI/CD pipelines for GKE deployments

Intended audience
Cloud architect, administrator and SysOps/DevOps profile. People using Google Cloud to create solutions or integrate systems, application environments and infrastructures.

Prerequisites
Have completed the "Getting Started with Google Kubernetes Engine" training course or equivalent knowledge.

Certification
We recommend you take this course if you want to prepare for the [ Google Cloud Professional Cloud Architect " certification.
Comment passer votre examen ?

Practical details
Teaching methods
Training in French. Official course material in English.

Course schedule

1
Workloads: deployments and tasks

  • Define, configure, inspect, manage and update deployments.
  • Define Jobs and Cronjobs in GKE and explore relevant use cases.
  • Create and run jobs.
  • Explain how to scale clusters manually and automatically.
  • Configure node and pod affinity.
Hands-on work
Create Google Kubernetes Engine deployments.

2
Networking the Google Kubernetes engine

  • Explore Kubernetes networking, including pod and cluster networking.
  • Create services to expose to applications running in pods.
  • Configure load balancers to expose services to external clients.
  • Explore native container load balancing in GKE.
  • Configure Google Kubernetes Engine networking.
Hands-on work
Configure Google Kubernetes Engine (GKE) networking.

3
Persistent data and storage

  • Define and use Kubernetes storage abstractions.
  • Run and manage pod sets using StatefulSets.
  • Use ConfigMaps to decouple pod configuration.
  • Manage and store sensitive access and authentication data.
  • Configure persistent storage for Google Kubernetes Engine.
Hands-on work
Configure persistent storage for Google Kubernetes Engine.

4
Access control and security in Kubernetes and Google Kubernetes Engine

  • Explore Kubernetes authentication and authorization.
  • Define Kubernetes RBAC and how it works with IAM to secure GKE clusters.
  • Configure Workload Identity to access Google Cloud services from GKE.
  • Securing GKE with Pod Security Standards and Pod Security Admission.
  • Implement role-based access control with GKE.
Hands-on work
Securing Google Kubernetes Engine with Cloud IAM and pod security.

5
Google Kubernetes Engine logging and monitoring

  • Identify the tools included in Google Cloud Observability.
  • Configure the Google Cloud Operations Suite to monitor and manage availability and performance.
  • Inspect the logs using the kubectl command.
  • Inspect Kubernetes logs using Google Cloud Observability.
  • Configure GKE's native monitoring and logging.
Hands-on work
Configure GKE's native monitoring and logging.

6
Using Google Cloud storage with Google Kubernetes Engine

  • Compare managed storage services with self-managed storage.
  • Identify Cloud Storage use cases for Kubernetes applications.
  • Compare the range of database services managed by Google Cloud.
  • Discover Cloud SQL Auth Proxy and how it connects to Cloud SQL from GKE.
  • Using Cloud SQL with Google Kubernetes Engine.
Hands-on work
Using Cloud SQL with Google Kubernetes Engine and Workload Identity.

7
Using CI/CD with Google Kubernetes Engine

  • Define continuous integration and continuous delivery and identify why they are important.
  • Examine CI/CD pipelines and how they can optimize application releases.
  • Explore proprietary and third-party CI/CD tools supported by Google Cloud.
  • Explore Google's best practices for a GKE CI/CD pipeline.


Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class

Dernières places
Date garantie en présentiel ou à distance
Session garantie

REMOTE CLASS
2026 : 28 Apr., 23 June, 25 Aug., 27 Oct., 15 Dec.

PARIS LA DÉFENSE
2026 : 28 Apr., 23 June, 25 Aug., 27 Oct., 15 Dec.