AWS for Solutions Architects

Design your cloud infrastructure by implementing DevOps, containers, and Amazon Web Services

Alberto Artasanchez 지음

Packt(GCO Science) 2021년 02월 19일 출간

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책소개

Apply cloud design patterns to overcome real-world challenges by building scalable, secure, highly available, and cost-effective solutions

▶Book Description
One of the most popular cloud platforms in the world, Amazon Web Services (AWS) offers hundreds of services with thousands of features to help you build scalable cloud solutions; however, it can be overwhelming to navigate the vast number of services and decide which ones best suit your requirements. Whether you are an application architect, enterprise architect, developer, or operations engineer, this book will take you through AWS architectural patterns and guide you in selecting the most appropriate services for your projects.

AWS for Solutions Architects is a comprehensive guide that covers the essential concepts that you need to know for designing well-architected AWS solutions that solve the challenges organizations face daily. You'll get to grips with AWS architectural principles and patterns by implementing best practices and recommended techniques for real-world use cases. The book will show you how to enhance operational efficiency, security, reliability, performance, and cost-effectiveness using real-world examples.

By the end of this AWS book, you'll have gained a clear understanding of how to design AWS architectures using the most appropriate services to meet your organization's technological and business requirements.

▶What You Will Learn
？Rationalize the selection of AWS as the right cloud provider for your organization
？Choose the most appropriate service from AWS for a particular use case or project
？Implement change and operations management
？Find out the right resource type and size to balance performance and efficiency
？Discover how to mitigate risk and enforce security, authentication, and authorization
？Identify common business scenarios and select the right reference architectures for them

▶Key Features
？Apply AWS Well-Architected Framework concepts to common real-world use cases
？Understand how to select AWS patterns and architectures that are best suited to your needs
？Ensure the security and stability of a solution without impacting cost or performance

▶Who This Book Is For
This book is for application and enterprise architects, developers, and operations engineers who want to become well-versed with AWS architectural patterns, best practices, and advanced techniques to build scalable, secure, highly available, and cost-effective solutions in the cloud. Although existing AWS users will find this book most useful, it will also help potential users understand how leveraging AWS can benefit their organization.

목차

▶TABLE of CONTENTS
▷ Section 1: Exploring AWS
？Chapter 1: Understanding AWS Cloud Principles and Key Characteristics
？Chapter 2: Leveraging the Cloud for Digital Transformation

▷ Section 2: AWS Service Offerings and Use Cases
？Chapter 3: Storage in AWS ？ Choosing the Right Tool for the Job
？Chapter 4: Harnessing the Power of Cloud Computing
？Chapter 5: Selecting the Right Database Service
？Chapter 6: Amazon Athena ？ Combining the Simplicity of Files with the Power of SQL
？Chapter 7: AWS Glue ？ Extracting, Transforming, and Loading Data the Simple Way
？Chapter 8: Best Practices for Application Security, Identity, and Compliance

▷ Section 3: Applying Architectural Patterns and Reference Architectures
？Chapter 9: Serverless and Container Patterns
？Chapter 10: Microservice and Event-Driven Architectures
？Chapter 11: Domain-Driven Design
？Chapter 12: Data Lake Patterns ？ Integrating Your Data across the Enterprise
？Chapter 13: Availability, Reliability, and Scalability Patterns

▷ Section 4: Hands-On Labs
？Chapter 14: Hands-On Lab and Use Case

책 속으로

▶What this book covers
？ Chapter 1, Understanding AWS Cloud Principles and Key Characteristics, describes the ubiquity of cloud computing, AWS’ market share, its revenue, and its adoption across industries.

？ Chapter 2, Leveraging the Cloud for Digital Transformation, begins to describe the AWS infrastructure and its services as well as how it can be used to achieve digital transformation across your enterprise.

？ Chapter 3, Storage in AWS ？ Choosing the Right Tool for the Job, goes through common storage use cases and the AWS services that support them.

？ Chapter 4, Harnessing the Power of Cloud Computing, visits common compute use cases and the AWS services that support them.

？ Chapter 5, Selecting the Right Database Service, visits common database (relational and NoSQL) use cases and the different AWS database services.

？ Chapter 6, Amazon Athena ？ Combining the Simplicity of Files with the Power of SQL, presents an overview of an important service offered by AWS called Amazon Athena. Amazon Athena is a powerful service that enables you to use standard SQL to access file content.

？ Chapter 7, AWS Glue ？ Extracting, Transforming, and Loading Data the Simple Way, shows how the AWS Glue service can simplify the creation of data lakes and data warehouses and their population.

？ Chapter 8, Best Practices for Application Security, Identity, and Compliance, goes through the common security, identity, and compliance use cases and the AWS services that support them.

？ Chapter 9, Serverless and Container Patterns, explains the concepts behind, and illustrates, microservice and container cloud architectures and use cases.

？ Chapter 10, Microservice and Event-Driven Architectures, illustrates serverless and eventbased cloud architectures and their use cases.

？ Chapter 11, Domain-Driven Design, describes domain-driven design as well as bounded patterns and their use cases.

？ Chapter 12, Data Lake Patterns ？ Integrating Your Data across the Enterprise, explains the benefits and challenges of implementing an enterprise data lake. It also explores best practices and how to measure the success of your data lake implementation.

？ Chapter 13, Availability, Reliability, and Scalability Patterns, describes high availability, reliability, scalability, and operations cloud architectures and when to use them.

？ Chapter 14, Hands-On Labs and Use Cases, revisits many of the concepts from previous chapters and combines them to build a practical, generic web UI serverless architecture.

출판사 서평

▶ Preface
Often, when a new technology emerges, it is touted as the most important technology to come along. Cloud computing is no exception. It may not be the most important technological innovation to come along, but few people will disagree that it is an important step in the evolution of computing. More than a breakthrough by itself, it builds on other technologies such as virtualization, the internet, redundant storage, and so on. Part of its magic is putting it all together.

Another key aspect of the cloud is the power and cost savings that come from allowing multiple users to share the same resources while keeping the environment and the users’ data secure.

The rate of adoption of cloud technologies keeps on accelerating and the question is no longer if cloud computing will be the dominant paradigm but rather how fast it will be adopted by companies of all sizes.

AWS is at the forefront of cloud adoption and is the undisputed leader. Enterprises are trusting their workloads to AWS because of its scalability, reliability, flexibility, and breadth of service offerings.

In this book, we will do a deep dive into the most important services available in AWS and many of their features. We will also assist you in deciding when to use one service over another, as well as recommended best practices when using a particular service. Finally, in the last chapter, we will put many of the technologies together and review a real-world use case.

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저자(글) Alberto Artasanchez

Alberto Artasanchez is a solutions architect with expertise in the cloud, data solutions, and machine learning, with a career spanning over 28 years in various industries. He is an AWS Ambassador and publishes frequently in a variety of cloud and data science publications. He is often tapped as a speaker on topics including data science, big data, and analytics. He has a strong and extensive track record of designing and building end-to-end machine learning platforms at scale. He also has a long track record of leading data engineering teams and mentoring, coaching, and motivating them. He has a great understanding of how technology drives business value and has a passion for creating elegant solutions to complicated problems.