GKE Role-based Access Control

Contents

keyboard_tab
Course Introduction
1
Introduction
PREVIEW1m 46s
Cluster Security
2
Service Accounts
PREVIEW4m 51s
Course Conclusion
6
Review
1m 35s

The course is part of these learning paths

Developing for Google Kubernetes Engine
25
3
14
Architecting with Google Kubernetes Engine
22
3
13
Google Professional Cloud Developer Exam Preparation
16
2
14
1
Google Cloud Platform for System Administrators
12
3
12
Google Cloud Platform for Developers
15
2
15
more_horizSee 2 more
Introduction
Overview
Difficulty
Intermediate
Duration
22m
Students
14
Ratings
5/5
starstarstarstarstar
Description

In order to manage the resources inside a Kubernetes cluster, you will need to have the right permissions. This course will demonstrate how to use Kubernetes role-based access control (RBAC) to create roles and bind them to both user and service accounts.

If you have any comments or feedback, feel free to reach out to us at: support@cloudacademy.com.

Learning Objectives

  • Create Kubernetes service and user accounts
  • Grant permissions to accounts to modify Kubernetes resources
  • Access GCP resources from your GKE cluster

Intended Audience

  • Engineers who want to deploy applications on a Kubernetes cluster
  • People who want to get GCP certified (eg: Professional Cloud Developer)

Prerequisites

  • Basic understanding of Kubernetes
  • Experience building and deploying containers
  • Complete the “GKE Services and Network Policies Course” course
Transcript

Welcome to Google Kubernetes Engine Role-based Access Control. My name is Daniel Mease, and I'll be taking you through this course. I'm a Google Cloud Platform Instructor at Cloud Academy with over 20 years of software and web development experience. Now, this course is intended for developers of containerized applications, engineers responsible for deploying to Kubernetes or anyone preparing for a Google Cloud certification, such as the Professional Cloud Developer exam.

After completing this course, you will be able to one, create Kubernetes service and user accounts, two, grant permissions to those accounts, and three, access other GCP resources from your GKE cluster. The following prerequisites will be helpful for this course. First, you should have a basic understanding of Kubernetes. And second, you should have some experience building and deploying containers.

Feedback on our courses is valuable to both us, as trainers, and our future students. If you have any criticisms or suggestions for improvement, we would greatly appreciate it, if you would share those with us. Please note, when this video was recorded, all course information was accurate. Google is constantly updating its products and services as part of its ongoing drive to innovate. As a result over time, minor discrepancies may appear in the course content. Here at Cloud Academy, we strive to keep our content up-to-date in order to provide the best training available. So, if you notice any information that is outdated, please contact, support@cloudacademy.com. This will allow us to make all necessary fixes to the course during its next release cycle.

About the Author
Avatar
Daniel Mease
Google Cloud Content Creator
Students
824
Courses
8
Learning Paths
4

Daniel began his career as a Software Engineer, focusing mostly on web and mobile development. After twenty years of dealing with insufficient training and fragmented documentation, he decided to use his extensive experience to help the next generation of engineers.

Daniel has spent his most recent years designing and running technical classes for both Amazon and Microsoft. Today at Cloud Academy, he is working on building out an extensive Google Cloud training library.

When he isn’t working or tinkering in his home lab, Daniel enjoys BBQing, target shooting, and watching classic movies.