Course Overview
Learn how to create and deploy containerized applications on Google Kubernetes Engine (GKE). This certification & training course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements —including infrastructure components like pods, and containers.
Course Objectives
This course teaches participants the following skills:
· Understand how software containers work.
· Understand the architecture of Kubernetes.
· Understand the architecture of Google Cloud.
· Understand how pod networking works in Kubernetes Engine.
· Create Kubernetes Engine clusters using the Google Cloud Console and gcloud/ kubectl commands.
Pre-Requisite
To get the most out of this course, participants should have:
· Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience.
· Basic proficiency with command-line tools and Linux operating system environments
Who Should Attend
This class is intended for the following participants:
· Cloud architects, administrators, and SysOps/DevOps personnel.
· Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud.
Related Certification Exam
Course Modules
Module 1: Introduction to Google Cloud
· Use the Google Cloud Console.
· Use Cloud Shell.
· Define Cloud Computing.
· Identify Google Cloud compute services.
· Understand regions and zones.
· Understand the Cloud resource hierarchy.
· Administer your Google Cloud resources.
Module 2: Containers and Kubernetes in Google Cloud
· Create a container using Cloud Build.
· Store a container in Container Registry.
· Understand the relationship between Kubernetes and Google Kubernetes Engine (GKE).
· Understand how to choose among Google Cloud Compute platforms.
Module 3: Kubernetes Architecture
· Understand the architecture of Kubernetes: pods, namespaces.
· Understand the control-plane components of Kubernetes.
· Create container images using Cloud Build.
· Store container images in Container Registry.
· Create a Kubernetes engine cluster.
Module 4: Introduction to Kubernetes Workloads
· The kubectl command.
· Introduction to deployments.
· Pod networking.
· Volumes overview
