The course is part of this learning path
In this course, you will learn about some of the more advanced options available when creating a Google Kubernetes Engine cluster.
You will learn the main differences between:
- Standard vs. Autopilot clusters
- Private vs. Public clusters
- Zonal vs. Regional clusters
- Routes-based vs. VPC-native clusters
- GCP Network Engineers
- GCP Security Engineers
- Anyone preparing for a Google Cloud certification (such as the Professional Cloud Network Engineer exam)
- Basic understanding of Kubernetes and GKE
- Some experience building and deploying containers
Hello, and welcome to “Advanced Cluster Options for Google Kubernetes Engine”. My name is Daniel Mease. I am a trainer at Cloud Academy with over 20 years of software and web development experience.
This course is intended for:
Developers of containerized applications
Engineers responsible for deploying to Kubernetes
Anyone preparing for a Google Cloud certification (such as the Professional Cloud Network Engineer exam)
After completing this course, you will understand the differences between the following types of clusters:
The following prerequisites will helpful for completing this course:
Basic understanding of Kubernetes and GKE
Some experience building and deploying containers
Feedback on our courses is valuable, both to 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 that, 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. 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So, if you notice any information that is outdated, please contact email@example.com. This will allow us to make all necessary fixes to the course during its next release cycle.
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.