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Architecting with Google Kubernetes Engine: Workloads

IntermediateSkill Level

Updated 05/2026

Deploy and manage Kubernetes workloads on GKE. Cover networking, deployments, jobs, persistent storage, and data management in production environments.

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2 hr 30 min

25 videos

46 Exercises

2,450 XP

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Course Description

In "Architecting with Google Kubernetes Engine- Workloads", you'll embark on a comprehensive journey into cloud-native application development. Throughout the learning experience, you'll explore Kubernetes operations, deployment management, GKE networking, and persistent storage.This is the first course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine- Production course.

Prerequisites

There are no prerequisites for this course

1

Workloads Course Introduction

In this introduction, you'll explore the course goals and preview each section.

Course introduction

2

Workloads: Deployments and Jobs

In this section of the course, you'll learn to manage Kubernetes Deployments, Jobs, and CronJobs to deliver applications and automate tasks. You'll also explore cluster scaling techniques to optimize performance and resource utilization.

Introduction

Creating Deployments

Inspecting Deployments

Updating Deployments

Other Deployment strategies

Jobs and Cronjobs

Cluster scaling

Controlling Pod placement with labels and affinity rules

Controlling Pod placement with taints and tolerations

Getting software into your cluster

Deployments 6

Quiz Question 1

Quiz Question 2

Quiz Question 3

Quiz Question 4

Quiz Question 5

Quiz Question 6

Quiz Question 7

3

Google Kubernetes Engine Networking

In this section of the course, you'll gain a comprehensive understanding of Kubernetes networking. You'll delve into how pods and clusters communicate, create services to expose your applications to the network, and configure load balancers for external access. You'll also examine container-native load balancing and master the configuration of Google Kubernetes Engine Networking for optimal performance and security.

Introduction

Pod networking

Kubernetes Services

Service type and load balancers

Container-native load balancing

Network Policies

Networking 10

Quiz Question 1

Quiz Question 2

Quiz Question 3

Quiz Question 4

Quiz Question 5

4

Persistent Data and Storage

In this section of the course, you'll unlock the secrets of Kubernetes storage. You'll learn how to define and work with Kubernetes storage abstractions, ensuring your applications have access to persistent data. You'll also discover how to manage sets of Pods efficiently using StatefulSets, decouple configuration from Pods using ConfigMaps, and securely manage sensitive access and authentication data. Finally, you'll practice configuring persistent storage for Google Kubernetes Engine, ensuring your data remains safe and accessible.

Introduction

Ephemeral Volumes

Durable Volumes

StatefulSets

Quiz Question 1

Quiz Question 2

Quiz Question 3

Quiz Question 4

5

Workloads Course Summary

The course closes with a summary of the key points covered in each section.

Workloads Course summary

6

Course Resources

Student PDF links to all modules

Course Resources

Architecting with Google Kubernetes Engine: Workloads

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