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

Summary

In this chapter, we summarized the Azure cloud security best practices to use IAM services and Azure Security Center, manage VMs and vNets, and secure cloud data. We focused on two Azure security reference architectures – the Azure hybrid cloud infrastructure, and the Azure SIEM and SOAR framework. Finally, we conducted a case study where we designed and implemented a VWAN security architecture, with Palo Alto virtual appliances separating the trusted and untrusted traffic.

This chapter ends the third part of the book, Azure Cloud. In this part, we covered the Azure cloud by exploring its foundation services of compute, storage, and network; the data services of databases and big data; the ML services of the Azure ML workspace and cognitive services; and the cloud security services. Since we already discussed the AWS and Google clouds in Part 1 and Part 2 of the book, we discussed more advanced cloud services and complicated case studies in this third part, aiming...