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The Self-Taught Cloud Computing Engineer
The Self-Taught Cloud Computing Engineer

The Self-Taught Cloud Computing Engineer: A comprehensive professional study guide to AWS, Azure, and GCP

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The Self-Taught Cloud Computing Engineer

Amazon EC2 and Compute Services

Amazon Web Services (AWS) is a cloud computing platform offered by Amazon. It provides a wide range of cloud-based services, including compute, storage, networks, databases, data analytics, machine learning (ML), and other functionality that can be used to build scalable and flexible applications. We will start our Amazon cloud learning journey from the AWS compute services—specifically, Elastic Compute Cloud (EC2), which was one of the most basic and earliest cloud services in the world.

In this chapter, we will cover the following topics:

  • The history of computing: How the first computer evolved from physical to virtual and led to cloud compute
  • Amazon Global Cloud Infrastructure: Where all the AWS global cloud services are based
  • Building our first EC2 instances in the Amazon cloud: Provision EC2 instances in the AWS cloud, step by step
  • Elastic Load Balancers (ELBs) and Auto Scaling Groups (ASGs): The framework providing EC2 services elastically
  • AWS compute – from EC2 to containers to serverless: Extend from EC2 to other AWS compute services, including Elastic Container Service (ECS), Elastic Kubernetes Service (EKS), and Lambda

By following the discussions in this chapter, you will be able to grasp the basic concepts of cloud computing, AWS EC2, and compute services, and gain hands-on skills in provisioning EC2 and compute services. Practice questions are provided to assess your knowledge level, and further reading links are included at the end of the chapter.

The history of computing

In this section, we will briefly review the computing history of human beings, from the first computer to Amazon EC2, and understand what has happened in the past 70+ years and what led us to the cloud computing era.

The computer

The invention of the computer is one of the biggest milestones in human history. On December 10, 1945, Electronic Numerical Integrator and Computer (ENIAC) was first put to work for practical purposes at the University of Pennsylvania. It weighed about 30 tons, occupied about 1,800 sq ft, and consumed about 150 kW of electricity.

From 1945 to now, in over 75 years, we human beings have made huge progress in upgrading the computer. From ENIAC to desktop and data center servers, laptops, and iPhones, Figure 1.1 shows the computer evolution landmarks:

Figure 1.1 – Computer evolution landmarks

Figure 1.1 – Computer evolution landmarks

Let’s take some time to examine a computer—say, a desktop PC. If we remove the cover, we will find that it has the following main hardware parts—as shown in Figure 1.2:

  • Central processing unit (CPU)
  • Random access memory (RAM)
  • Hard disk (HD)
  • Network interface card (NIC)
Figure 1.2 – Computer hardware components

Figure 1.2 – Computer hardware components

These hardware parts work together to make the computer function, along with the software including the operating system (such as Windows, Linux, macOS, and so on), which manages the hardware, and the application programs (such as Microsoft Office, web servers, games, and so on) that run on top of the operating system. In a nutshell, hardware and software specifications decide how much power a computer can serve for different business use cases.

The data center

Apparently, one computer does not serve us well. Computers need to be able to communicate with each other to fulfill network communications, resource sharing, and so on. The work at Stanford University in the 1980s led to the birth of Cisco Systems, Inc., an internet company that played a great part in connecting computers together and forming the intranet and the internet. Connecting many computers together, data centers emerged as a central location for computing resources—CPU, RAM, storage, and networking.

Data centers provide resources for businesses’ information technology needs: computing, storing, networking, and other services. However, the concept of data center ownership lacks flexibility and agility and entails huge investment and maintenance costs. Often, building a new data center takes a long time and a big amount of money, and maintaining existing data centers—such as tech refresh projects—is very costly. In certain circumstances, it is not even possible to possess the computing resources to complete certain projects. For example, the Human Genome Project was estimated to consume up to 10,000 trillion CPU hours and 40 exabytes (1 exabyte = 1018 bytes) of disk storage, and it is impossible to acquire resources at this scale without leveraging cloud computing.

The virtual machine

The peace of physical computers was broken in 1998 when VMware was founded and the concept of a virtual machine (VM) was brought to Earth. A VM is a software-based computer composed of virtualized components of a physical computer—CPU, RAM, HD, network, operating system, and application programs.

VMware’s hypervisor virtualizes hardware to run multiple VMs on bare-metal hardware, and these VMs can run various operating systems of Windows, Linux, or others. With virtualization, a VM is represented by a bunch of files. It can be exported to a binary image that can be deployed on any physical hardware at different locations. A running VM can be moved from one host to another, LIVE—so-called" v-Motion". The virtualization technologies virtualized physical hardware and caused a revolution in computer history, and also made cloud computing feasible.

The idea of cloud computing

The limitation of data centers and virtualization technology made people explore more flexible and inexpensive ways of using computing resources. The idea of cloud computing started from the concept of “rental”—use as needed and pay as you go. It is the on-demand, self-provisioning of computing resources (hardware, software, and so on) that allows you to pay only for what you use. The key concept of cloud computing is disposable computing resources. In the traditional information technology and data center concept, a computer (or any other compute resource) is treated as a pet. When a pet dies, people are very sad, and they need to get a new replacement right away. If an investment bank’s trading server goes down at night, it is the end of the world—everyone is woken up to recover the server. However, in the new cloud computing concept, a computer is treated as cattle in a herd. For example, the website of an investment bank, zhebank.com, is supported by a herd of 88 servers—www001 to www88. When one server goes down, it’s taken out of the serving line, shot, and replaced with another new one with the same configuration and functionalities, automatically!

With cloud computing, enterprises are leveraging the cloud service provider (CSP)’s unlimited computing resources that are featured as global, elastic and scalable, highly reliable and available, cost-effective, and secure. The main CSPs, such as Amazon, Microsoft, and Google, have global data centers that are connected by backbone networks. Because of cloud computing’s pay-as-you-go characteristics, it makes sense for cost savings. Because of its strong monitoring and logging features, cloud computing offers the most secure hosting environment. Instead of building physical hardware data centers with big investments over a long time, virtual software-based data centers can be built within several hours, immutable and repeatedly, in the global cloud environment. Infrastructure is represented as code that can be managed with version control, which we can call Infrastructure as Code (IaC). More details can be found at https://docs.aws.amazon.com/whitepapers/latest/introduction-devops-aws/infrastructure-as-code.html.

EC2 was first introduced in 2006 as a web service that allowed customers to rent virtual computers for computing tasks. Since then, it has become one of the most popular cloud computing platforms available, offering a wide range of services and features that make it an attractive option for enterprise customers. Amazon categorizes the VMs with different EC2 instance types based on hardware (CPU, RAM, HD, and network) and software (operating system and applications) configurations. For different business use cases, cloud consumers can choose EC2 instances with a variety of instance types, operating system choices, network options, storage options, and more. In 2013, Amazon introduced the Reserved Instance feature, which gave customers the opportunity to purchase instances at discounted rates in exchange for committing to longer usage terms. In 2017, Amazon released EC2 Fleet, which allows customers to manage multiple instance types and instance sizes across multiple Availability Zones (AZs) with a single request.

The computer evolution path

From ENIAC to EC2, a computer has evolved from a huge, physical unit to a disposable resource that is flexible and on-demand, portable, and replaceable, and a data center has evolved from being expensive and protracted to a piece of code that can be executed globally at any time on demand, within hours.

In the next sections of this chapter, we will look at the Amazon Global Cloud Infrastructure and then provision our EC2 instances in the cloud.

Amazon Global Cloud infrastructure

The Amazon Global Cloud Infrastructure is a suite of cloud computing services offered by AWS, including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, security, identity compliance, and so on. These services are hosted globally, allowing customers to store data and access resources in locations that best meet their business needs. It delivers highly secure, low-cost, and reliable services that can be used by almost any application in any industry around the world.

Amazon has built physical data centers around the world, in graphical areas called AWS Regions, which are connected by Amazon’s backbone network infrastructure. Each Region provides full redundancy and connectivity among its data centers. An AWS Region typically consists of two or more AZs, which is a fully isolated partition of the AWS infrastructure. An AZ has one or more data centers connected with each other and is identified by a name that combines a letter identifier with the region’s name. For example, us-east-1d is the d AZ in the us-east-1 region. Each AZ is designed for fault isolation and is connected to other AZs using high-speed private networking. When provisioning cloud resources such as EC2, you choose the region and AZs where the EC2 instance will be sitting. In the next section, we will demonstrate the EC2 instance provisioning process.

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Key benefits

  • Gain a solid foundation in cloud computing with a structured, easy-to-follow guide
  • Develop practical skills across AWS, Azure, and Google Cloud, covering compute, storage, networking, data, security, and AI
  • Work on real life industrial projects, business use cases, and personal cloud career development
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

As cloud computing continues to revolutionize IT, professionals face the challenge of keeping up with rapidly evolving technologies. This book provides a clear roadmap for mastering cloud concepts, developing hands-on expertise, and obtaining professional certifications, making it an essential resource for those looking to advance their careers in cloud computing. Starting with a focus on the Amazon cloud, you’ll be introduced to fundamental AWS cloud services, followed by 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, differentiating their unique features, along with leveraging real-life cloud project implementations on these cloud platforms. Through hands-on projects and real-world applications, you’ll gain the skills needed to work confidently across different cloud platforms. The book concludes with career development guidance, including certification paths and industry insights to help you succeed in the cloud computing landscape. Walking through this cloud computing book, you’ll systematically establish a robust footing in AWS, Azure, and GCP, and emerge as a cloud-savvy professional, equipped with cloud certificates to validate your skills.

Who is this book for?

This book is ideal for IT professionals looking to transition into cloud computing, as well as experienced cloud practitioners seeking to deepen their knowledge. Whether you're a beginner with basic computing experience or an industry professional aiming to expand your expertise, this comprehensive guide provides the skills and insights needed to excel in the cloud domain.

What you will learn

  • Develop core skills needed to work with AWS, Azure, and GCP
  • Gain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environments
  • Integrate cloud databases, big data, and machine learning services in multi-cloud environments
  • Design and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the clouds
  • Implement machine learning pipelines in multi-cloud environment
  • Secure cloud infrastructure ecosystems with advanced cloud security services

Product Details

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Publication date : Sep 22, 2023
Length: 472 pages
Edition : 1st
Language : English
ISBN-13 : 9781805123705
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Length: 472 pages
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Language : English
ISBN-13 : 9781805123705
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Table of Contents

23 Chapters
Part 1: Learning about the Amazon Cloud Chevron down icon Chevron up icon
Chapter 1: Amazon EC2 and Compute Services Chevron down icon Chevron up icon
Chapter 2: Amazon Cloud Storage Services Chevron down icon Chevron up icon
Chapter 3: Amazon Networking Services Chevron down icon Chevron up icon
Chapter 4: Amazon Database Services Chevron down icon Chevron up icon
Chapter 5: Amazon Data Analytics Services Chevron down icon Chevron up icon
Chapter 6: Amazon Machine Learning Services Chevron down icon Chevron up icon
Chapter 7: Amazon Cloud Security Services Chevron down icon Chevron up icon
Part 2:Comprehending GCP Cloud Services Chevron down icon Chevron up icon
Chapter 8: Google Cloud Foundation Services Chevron down icon Chevron up icon
Chapter 9: Google Cloud’s Database and Big Data Services Chevron down icon Chevron up icon
Chapter 10: Google Cloud AI Services Chevron down icon Chevron up icon
Chapter 11: Google Cloud Security Services Chevron down icon Chevron up icon
Part 3:Mastering Azure Cloud Services Chevron down icon Chevron up icon
Chapter 12: Microsoft Azure Cloud Foundation Services Chevron down icon Chevron up icon
Chapter 13: Azure Cloud Database and Big Data Services Chevron down icon Chevron up icon
Chapter 14: Azure Cloud AI Services Chevron down icon Chevron up icon
Chapter 15: Azure Cloud Security Services Chevron down icon Chevron up icon
Part 4:Developing a Successful Cloud Career Chevron down icon Chevron up icon
Chapter 16: Achieving Cloud Certifications Chevron down icon Chevron up icon
Chapter 17: Building a Successful Cloud Computing Career Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

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Dev joshi Apr 18, 2024
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For those entering the field of cloud computing without any official training, this book is an extensive and powerful resource. This book provides insights and useful activities for users of key cloud platforms, including AWS, Azure, and GCP. It is a roadmap for IT enthusiasts and professionals.Dr. Song starts out by giving a thorough introduction to Amazon Web Services (AWS) before easing into more complex subjects like machine learning, data services, and security. Examples of real-world projects enhance the educational process by connecting abstract ideas with practical implementations.It is anticipated that readers will become proficient in a variety of cloud services, such as networking, computation, storage, and security in multi-cloud and hybrid contexts. A wide range of IT professionals can benefit from Dr. Song's guide, regardless of their level of experience.As a Master's student studying business analytics with an emphasis on data engineering, I personally thought that Dr. Song's book was very helpful in extending my understanding of cloud computing. My perspective has been expanded, and the methodical way that cloud services are presented on various platforms has helped me become ready for professional certifications.In summary, "The Self-Taught Cloud Computing Engineer" is a priceless tool that gives readers the knowledge and skills they need to succeed in the cloud computing industry. This book is essential reading for aspiring and working IT professionals who want to improve their cloud computing knowledge and careers because of Dr. Song's integration of theory, real-world projects, and career pathways.
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Palak Dilip Verma Apr 25, 2024
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"The Self-Taught Cloud Computing Engineer" by Dr. Logan Song is a great resource for anyone who wishes to dive into the world of cloud computing concepts as used by the wider tech industry today. I really liked the pacing of the book as it starts with key concepts of cloud computing, slowly building an understanding of the fundamental blocks, like the various service models of cloud computing, using AWS and its services as a practical analogy. Overall, the book offers a nice blend of the theory of cloud computing as well as the implementation of that theory as provided by "Big-3" cloud platforms: AWS, GCP, and Azure, in the form of their various service offerings.Furthermore, there are various diagrams and helpful illustrations throughout the book which make the reading experience so much better and intriguing, Dr. Song has done an amazing job in simplifying core technical concepts like cloud networking and infrastructure, making it easier to follow along as the book begins to deal with more complex topics in later chapters. This book surely made my foray into the world of AWS so much more interesting and also turned out to be a great resource in preparing for the AWS Cloud Practitioner certification exam.
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Chakravarthy Pappu Apr 25, 2024
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I recently picked up Dr. Logan Song's "The Self-Taught Cloud Computing Engineer" as I wanted to learn more about cloud computing. Let me tell you, it's been a game-changer for me!This book breaks down everything about cloud computing in a really simple way. Dr. Song explains things so clearly, even if you're totally new to the topic. I love how he covers the big players like AWS, Azure, and GCP, making it easy to understand what each one offers.The best part? The hands-on exercises are super helpful. They let me practice what I learned, which really made things stick. Plus, there are tips for getting certified, which is a bonus if you're thinking about taking exams.Overall, if you're looking to get into cloud computing or just want to understand it better, I highly recommend "The Self-Taught Cloud Computing Engineer." It's been a real eye-opener for me!
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Snehitha Penumaka Mar 09, 2024
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For anyone interested in learning about cloud computing and becoming a self-taught cloud engineer, Logan Song's book "The Self-Taught Cloud Computing Engineer" is an excellent resource. The author adopts a peculiar methodology, starting with the fundamental ideas of cloud computing before getting into the finer points of individual services. To guarantee that readers comprehend the mathematical underpinnings and develop practical abilities in navigating the complexities of AWS, Azure, and GCP, the writers skillfully blend theoretical and practical activities. The learning process is enhanced by review questions and practical exercises at the conclusion of each chapter. Because the author is well-versed in industry changes and trends, the content is current and relevant.Moreover, adding real-world industrial case studies would give readers insightful knowledge about how cloud computing is used in a variety of sectors. This would give the educational process a more real-world component. In summary, this book is a fantastic ally in your path to cloud mastery, regardless of your motivation—be it certification or career advancement.
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Prathyusha Jammula Nov 30, 2023
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"The Self-Taught Cloud Computing Engineer" by Dr. Logan Song is an excellent resource for anyone interested in entering the rapidly increasing field of cloud computing. This comprehensive book covers the principles of cloud computing, including an in-depth look at the three major cloud platforms: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).Song's knowledge is evident in his precise and simple explanations of complicated ideas. He divides each issue into small bits, making it simple for even novices to grasp the complexities of cloud computing. The book is packed with practical examples and hands-on exercises that allow readers to put their newfound knowledge to use and gain useful experience. The emphasis on self-paced learning genuinely distinguishes this book. Song urges readers to take charge of their education by providing them with the tools and resources they need to succeed. To ensure that readers have a good foundation in cloud computing, he includes chapter summaries, self-assessment tests, and links to supplementary learning tools."The Self-Taught Cloud Computing Engineer" is an invaluable resource whether you are a complete beginner or an aspiring cloud professional. Song's experienced advice and hands-on approach will provide you with the information and skills you need to navigate the ever-changing cloud computing landscape.
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