Deploying Containerized Workloads Using Google Cloud Kubernetes Engine
Course Features
Duration
171 minutes
Delivery Method
Online
Available on
Downloadable Courses
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Teaching Type
Self Paced
Video Content
171 minutes
Course Description
Course Overview
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
What You Will Learn
Finally, you will explore how to share states using volume abstractions, and field user requests using service and ingress objects
First, you will learn where GKE fits relative to other GCP compute options such as GCE VMs, App Engine, and Cloud Functions
Next, you will discover how to create, manage, and scale clusters using the Horizontal Pod Autoscaler (HPA)
Pods, ReplicaSets, and Deployments are core Kubernetes concepts, and you will understand each of these in detail
When you’re finished with this course, you will have the skills and knowledge of the Google Kubernetes Engine needed to construct scalable clusters running Docker containers on the GCP
You will also learn about StatefulSets and DaemonSets on the GKE
You will learn how to deploy and configure clusters of VM instances running your Docker containers on the Google Cloud Platform using the Google Kubernetes Service
You will see how custom Docker images are built and placed in the Google Container Registry, and learn a new and advanced feature, binary authorization
You will understand fundamental building blocks in Kubernetes, such as pods, nodes and node pools, and how these relate to the fundamental building blocks of Docker, namely containers