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AWS for Solutions Architects

You're reading from   AWS for Solutions Architects Design your cloud infrastructure by implementing DevOps, containers, and Amazon Web Services

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781789539233
Length 454 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Exploring AWS
2. Chapter 1: Understanding AWS Cloud Principles and Key Characteristics FREE CHAPTER 3. Chapter 2: Leveraging the Cloud for Digital Transformation 4. Section 2: AWS Service Offerings and Use Cases
5. Chapter 3: Storage in AWS – Choosing the Right Tool for the Job 6. Chapter 4: Harnessing the Power of Cloud Computing 7. Chapter 5: Selecting the Right Database Service 8. Chapter 6: Amazon Athena – Combining the Simplicity of Files with the Power of SQL 9. Chapter 7: AWS Glue – Extracting, Transforming, and Loading Data the Simple Way 10. Chapter 8: Best Practices for Application Security, Identity, and Compliance 11. Section 3: Applying Architectural Patterns and Reference Architectures
12. Chapter 9: Serverless and Container Patterns 13. Chapter 10: Microservice and Event-Driven Architectures 14. Chapter 11: Domain-Driven Design 15. Chapter 12: Data Lake Patterns – Integrating Your Data across the Enterprise 16. Chapter 13: Availability, Reliability, and Scalability Patterns 17. Section 4: Hands-On Labs
18. Chapter 14: Hands-On Lab and Use Case 19. Other Books You May Enjoy

Basic cloud and AWS terminology

There is a constant effort by technology companies to offer common standards for certain technologies while providing exclusive and proprietary technology that no one else offers.

An example of this can be seen in the database market. The Standard Query Language (SQL) and the ANSI-SQL standard have been around for a long time. In fact, the American National Standards Institute (ANSI) adopted SQL as the SQL-86 standard in 1986.

Since then, database vendors have continuously been supporting this standard while offering a wide variety of extensions to this standard in order to make their products stand out and to lock in customers to their technology.

The cloud is no different. Cloud providers provide the same core functionality for a wide variety of customer needs, but they all feel compelled to name these services differently, no doubt in part to try to separate themselves from the rest of the pack and make it more difficult to switch out of their environments once companies commit to using them.

As an example, every major cloud provider offers compute services. In other words, it is simple to spin up a server with any provider, but they all refer to this compute service differently:

  • AWS uses EC2 instances.
  • Azure uses Azure VM.
  • GCP uses Google Compute Engine.

The following tables give a non-comprehensive list of the different core services offered by AWS, Azure, and GCP and the names used by each of them:

Table 1.1 – Cloud provider terminology and comparison (part 1)

Table 1.1 – Cloud provider terminology and comparison (part 1)

These are some of the other services, including serverless technology services and database services:

Table 1.2 – Cloud provider terminology and comparison (part 2)

Table 1.2 – Cloud provider terminology and comparison (part 2)

These are additional services:

Table 1.3 – Cloud provider terminology and comparison (part 3)

Table 1.3 – Cloud provider terminology and comparison (part 3)

If you are confused by all the terms in the preceding tables, don't fret. We will learn about many of these services throughout the book and when to use each of them.

In the next section, we are going to learn why cloud services are becoming so popular and in particular why AWS adoption is so prevalent.

You have been reading a chapter from
AWS for Solutions Architects
Published in: Feb 2021
Publisher: Packt
ISBN-13: 9781789539233
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