In this course, "Architecting with Google Kubernetes Engine: Foundations," you get a review of the layout and principles of Google Cloud Platform, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.
This course is part of a specialization focused on building efficient computing infrastructures using Kubernetes and Google Kubernetes Engine (GKE). The specialization introduces participants to deploying and managing containerized applications on GKE and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. The specialization also covers deploying practical solutions including security and access management, resource management, and resource monitoring.
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-In this module, you'll become familiar with the structure and layout of the course.
Introduction to Google Cloud Platform
-This module helps you start off with the right framework of concepts. After a review of fundamentals cloud computing, you will learn about how GCP’s resources around the world are organized into regions and zones. You'll also learn how you can organize the resources you use in GCP, so that you can manage them. Finally, you'll meet the tools that let you connect to GCP and allocate, change, and release resources.
Containers and Kubernetes in GCP
-In this module you will learn about software containers and their benefits are for application deployment. You'll configure and build containers. You'll also learn about the functions container that management solutions like Kubernetes provide. You'll encounter the advantages of Google Kubernetes Engine compared to building your own container-management infrastructure.
-In this module you’ll learn the components of a Kubernetes cluster and how they work together. You'll deploy a Kubernetes cluster using Google Kubernetes Engine and deploy Pods to a GKE cluster. You'll also view and manage several very useful kinds of Kubernetes objects.