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AWS Cloud Projects
AWS Cloud Projects

AWS Cloud Projects: Strengthen your AWS skills through practical projects, from websites to advanced AI applications

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Profile Icon Ivo Pinto Profile Icon Pedro Santos
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Paperback Oct 2024 266 pages 1st Edition
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Arrow left icon
Profile Icon Ivo Pinto Profile Icon Pedro Santos
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Paperback Oct 2024 266 pages 1st Edition
eBook
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AWS Cloud Projects

Deploying and Interacting with AWS Services

Embarking on the journey to build solutions on the Amazon Web Services (AWS) platform requires a comprehensive understanding of the available tools and approaches. This chapter introduces various methodologies for architecting on AWS, beginning with preparatory activities such as requirements gathering, service selection, and diagramming.

You will then explore the various methods and tools available for deploying and interacting with AWS services, including the AWS Console, AWS Command Line Interface (CLI), AWS Software Development Kits (SDKs), and Infrastructure as Code (IaC).

This is a theoretical chapter, structured around the following main topics:

  • Architecting on AWS
  • Getting started with AWS Console
  • Navigating AWS CLI and SDK
  • Understanding IaC

By the end of this chapter, you will possess the knowledge and skills necessary to create, operate, and monitor AWS services using the approach that best aligns...

Technical requirements

Although this is a theoretical chapter, you will find code snippets in the GitHub repository of this chapter at https://github.com/PacktPublishing/AWS-Cloud-Projects/tree/main/chapter1/code.

To follow along, you will need an AWS account.

Architecting on AWS

Architecting on AWS refers to the process of designing and planning cloud-based solutions using AWS. It involves understanding the various AWS services, their capabilities, and how they can be combined to build scalable, secure, and cost-effective architectures.

When architecting on AWS, the following four aspects should be considered, each detailed later in this chapter:

  • Requirements gathering: This is a crucial step in the process of architecting solutions on AWS. It involves understanding the business needs, functional requirements, non-functional requirements, and constraints that will shape the design and implementation of the AWS architecture.
  • Architecture patterns: AWS provides various architecture patterns and reference architectures that serve as starting points for common use cases, such as web applications, data processing pipelines, or serverless architectures. You can leverage these patterns and customize them to meet their specific requirements...

Getting started with AWS Console

The AWS Console is a web-based user interface provided by AWS that allows users to access and manage various AWS services and resources through a Graphical User Interface (GUI).

The AWS Console is designed to be user-friendly and accessible from any web browser, allowing users to manage their AWS resources from anywhere with an internet connection. It provides a visual representation of AWS services and resources, making it easier for users to understand and interact with the AWS ecosystem.

Using the Console

During this section, you will deploy an EC2 instance, which is an AWS virtual machine.

To use the Console, you must have an AWS account. The creation process of an AWS account is outside the scope of this book, but you can find all the necessary information on the AWS website at https://aws.amazon.com/free.

Important note

Every example in this book assumes that you have a standalone AWS account that is not part of AWS Organizations...

Navigating AWS CLI and AWS SDK

The AWS CLI and AWS SDK are programmatic tools to access and manage AWS services. In this section, you will dive deeper into each of these, and execute them in your own environment.

AWS CLI

The AWS CLI is a unified tool by AWS that allows you to interact with and manage AWS services from a command line such as macOS terminal or Windows Command Prompt. It provides a convenient and scriptable way to automate and control various AWS resources and operations.

It’s a CLI tool, so it requires an installation process. This differs per operating system but it is well-documented by AWS (https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html). Besides standalone actions, it can be integrated with other CLI scripts or automation tools you already have. For example, a larger workflow that touches on various components such as local and remote processes.

Using the AWS CLI

In this section, you will create an EC2 instance...

Understanding IaC

IaC is an approach to provision and manage resources such as cloud infrastructure. It allows you to define and deploy your resources using human-readable definition files or code.

Instead of manually configuring resources through the AWS Console or CLI tools as you saw in previous sections, IaC allows a declarative specification of the desired infrastructure state. In our context, that’s the AWS cloud. This means compute instances, storage, networking, security groups, and other AWS services.

By treating your IaC, you will get multiple benefits:

  • Configuration consistency: IaC promotes the concept of immutable infrastructure, whereby infrastructure components are treated as disposable and replaceable rather than being manually modified. This approach ensures consistency, reduces configuration drift, and simplifies the process of scaling or updating infrastructure.
  • Version control and collaboration: IaC templates and code can be stored in version...

Summary

In this chapter, you learned what it means to architect on AWS. It’s not only about deploying AWS services but also about gathering different types of requirements, contrasting those to known patterns and reference architectures, choosing different services, and documenting it all.

You also explored the various methods and tools available for deploying and interacting with AWS services after you have your design. The AWS Console provides a user-friendly graphical interface, while the AWS CLI and SDKs enable programmatic access and automation. Additionally, you were exposed to various IaC techniques such as Terraform, CloudFormation, and AWS CDK, which allow you to define and manage your AWS infrastructure using code.

By understanding these different approaches, you can choose the most appropriate method based on your requirements and skill level, as well as the complexity of your AWS deployments. Whether you prefer a visual interface, command-line tools, programmatic...

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Key benefits

  • Gain practical skills in architecting, deploying, and managing applications on AWS from seasoned experts
  • Get hands-on experience by building different architectures in an easy-to-follow manner
  • Understand the purpose of different aspects in AWS, and how to make the most of them
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Tired of resumes that get lost in the pile? This book is your roadmap to creating an in-demand AWS portfolio that grabs attention and gets you hired. This comprehensive guide unlocks the vast potential of AWS for developers of all levels. Inside, you'll find invaluable guidance for crafting stunning websites with S3, CloudFront, and Route53. You’ll build robust and scalable applications, such as recipe-sharing platforms, using DynamoDB and Elastic Load Balancing. For streamlined efficiency, the book will teach you how to develop serverless architectures with AWS Lambda and Cognito. Gradually, you’ll infuse your projects with artificial intelligence by creating a photo analyzer powered by Amazon Rekognition. You’ll also automate complex workflows for seamless content translation using Translate, CodePipeline, and CodeBuild. Later, you’ll construct intelligent virtual assistants with Amazon Lex and Bedrock to answer web development queries. The book will also show you how to visualize your data with insightful dashboards built using Athena, Glue, and QuickSight. By the end of this book, you’ll be ready to take your projects to the next level and succeed in the dynamic world of cloud computing.

Who is this book for?

If you’re a student who wants to start your career in cloud computing or a professional with experience in other technical areas like software development who wants to embrace a new professional path or complement your technical skills in cloud computing, this book is for you. A background in computer science or engineering and basic programming skills is recommended. All the projects in the book have theoretical explanations of the services used and do not assume any previous AWS knowledge.

What you will learn

  • Develop a professional CV website and gain familiarity with the core aspects of AWS
  • Build a recipe-sharing application using AWS's serverless toolkit
  • Leverage AWS AI services to create a photo friendliness analyzer for professional profiles
  • Implement a CI/CD pipeline to automate content translation across languages
  • Develop a web development Q&A chatbot powered by cutting-edge LLMs
  • Build a business intelligence application to analyze website clickstream data and understand user behavior with AWS

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 25, 2024
Length: 266 pages
Edition : 1st
Language : English
ISBN-13 : 9781835889282
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Amazon
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Product Details

Publication date : Oct 25, 2024
Length: 266 pages
Edition : 1st
Language : English
ISBN-13 : 9781835889282
Vendor :
Amazon
Tools :

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Table of Contents

14 Chapters
Part 1: Beginner Level Projects Chevron down icon Chevron up icon
Chapter 1: Deploying and Interacting with AWS Services Chevron down icon Chevron up icon
Chapter 2: Creating a Personal Website Chevron down icon Chevron up icon
Part 2: Intermediate Level Projects Chevron down icon Chevron up icon
Chapter 3: Building a Recipe-Sharing Application Chevron down icon Chevron up icon
Chapter 4: Building a Serverless Recipe-Sharing Application Chevron down icon Chevron up icon
Chapter 5: Implementing an Image Analyzer to Detect Photo Friendliness Chevron down icon Chevron up icon
Chapter 6: Architecting a Content Translation Pipeline Chevron down icon Chevron up icon
Part 3: Advanced Level Projects Chevron down icon Chevron up icon
Chapter 7: Implementing a Chatbot Using Machine Learning Chevron down icon Chevron up icon
Chapter 8: Building a Business Intelligence Application Chevron down icon Chevron up icon
Chapter 9: Exploring Future Work 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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