Book Image

The Self-Taught Cloud Computing Engineer

By : Dr. Logan Song
Book Image

The Self-Taught Cloud Computing Engineer

By: Dr. Logan Song

Overview of this book

The Self-Taught Cloud Computing Engineer is a comprehensive guide to mastering cloud computing concepts by building a broad and deep cloud knowledge base, developing hands-on cloud skills, and achieving professional cloud certifications. Even if you’re a beginner with a basic understanding of computer hardware and software, this book serves as the means to transition into a cloud computing career. Starting with the Amazon cloud, you’ll explore the fundamental AWS cloud services, then progress to advanced AWS cloud services in the domains of data, machine learning, and security. Next, you’ll build proficiency in Microsoft Azure Cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds while distinguishing their unique features. You’ll further enhance your skills through practical experience on these platforms with real-life cloud project implementations. Finally, you’ll find expert guidance on cloud certifications and career development. By the end of this cloud computing book, you’ll have become a cloud-savvy professional well-versed in AWS, Azure, and GCP, ready to pursue cloud certifications to validate your skills.
Table of Contents (24 chapters)
1
Part 1: Learning about the Amazon Cloud
9
Part 2:Comprehending GCP Cloud Services
14
Part 3:Mastering Azure Cloud Services
19
Part 4:Developing a Successful Cloud Career

Azure Cloud Foundation service implementation

In this section, we will implement an Azure global V-WAN network using the hub-and-spoke architecture. We will build a V-WAN with two hubs, one in us-east and the other in us-west. Each hub will be connected to two spoke networks: Hub1 connects to spoke networks vNet1 and vNet2; Hub2 connects to spoke networks vNet3 and vNet4. We will create one VM in each spoke. Figure 12.2 shows a typical V-WAN architecture where all the networks are connected efficiently using a hub-and-spoke topology, including Azure cloud vNets, branch office networks, remote networks, and on-premises networks:

Figure 12.2 – Azure V-WAN infrastructure

Figure 12.2 – Azure V-WAN infrastructure

In our lab, we will just implement the Azure V-WAN hub-and-spoke network with vNet connections. Let’s get started:

  1. Create an Azure V-WAN:

Go to the Azure portal at portal.azure.com, then go to Virtual WANs. Create a V-WAN called azure-vwan in the Central US region...