Getting started with Google Kubernetes Engine
(GC-GSGKE)
Learn how to create and deploy containerized applications on Google Kubernetes Engine (GKE). This 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.
Prerequisites
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
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.
Audience
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.
Course Outline
The course includes presentations, demonstrations, and hands-on labs.
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.
