AWS for Solutions Architects: Design your cloud infrastructure by implementing DevOps, containers, and Amazon Web Services

Apply cloud design patterns to overcome real-world challenges by building scalable, secure, highly available, and cost-effective solutionsKey...
HK$809.95
HK$809.95
SKU: 9781789539233
Product Type: Books
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Author: Alberto Artasanchez
Format: Paperback
Language: English
Subtotal: $809.95
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AWS for Solutions Architects: Design your cloud infrastructure by implementing DevOps, containers, and Amazon Web Services by Artasanchez, Alberto

AWS for Solutions Architects: Design your cloud infrastructure by implementing DevOps, containers, and Amazon Web Services

$809.95

AWS for Solutions Architects: Design your cloud infrastructure by implementing DevOps, containers, and Amazon Web Services

$809.95
Author: Alberto Artasanchez
Format: Paperback
Language: English

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


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


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


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.



Author: Alberto Artasanchez
Publisher: Packt Publishing
Published: 02/19/2021
Pages: 454
Binding Type: Paperback
Weight: 1.71lbs
Size: 9.25h x 7.50w x 0.92d
ISBN: 9781789539233

About the Author
Artasanchez, Alberto: - 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.

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