AWS for Solutions Architects
By :
AWS for Solutions Architects
By:
Overview of this book
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.
Table of Contents (20 chapters)
Preface
Section 1: Exploring AWS
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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
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