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 event-based 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.