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

Google Cloud Foundation Services

In Part 1 of the book, we dived into the Amazon cloud, explored and provisioned cloud services for compute, storage, networking, databases, big data, and machine learning. Now, in this second part, we are switching to another cloud platform: Google Cloud Platform (GCP). GCP has many similarities with AWS but also has many of its own features. Finding the similarities and examining the differences are what we will do in the second part of the book. In this chapter, we will focus on GCP’s foundation services, including the following:

  • Google Cloud resource hierarchy – organization, folders, projects, and resources
  • Google compute services – Google Compute Engine (GCE), Google App Engine (GAE), Google Kubernetes Engine (GKE), and Google Cloud Functions (serverless)
  • Google storage services – Persistent Disk (PD), Filestore, and Google Cloud Storage (GCS)
  • Google Cloud networking services – Virtual Private...