Many organizations today have begun to modernize their Windows workloads to take full advantage of cloud economics. If you're a C# developer at one of these companies, you need options for rehosting, replatforming, and refactoring your existing .NET Framework applications. This practical book guides you through the process of converting your monolithic application to microservices on AWS.

Authors Noah Gift, founder of Pragmatic AI Labs, and James Charlesworth, engineering manager at Pendo, take you through the depth and breadth of .NET tools on AWS. You'll examine modernization techniques and pathways for incorporating Linux and Windows containers and serverless architecture to build, maintain, and scale modern .NET apps on AWS. With this book, you'll learn how to make your applications more modern, resilient, and cost-effective.

• Get started building solutions with C# on AWS
• Learn DevOps best practices for AWS
• Explore the development tools and services that AWS provides
• Successfully migrate a legacy .NET application to AWS
• Develop serverless .NET microservices on AWS
• Containerize your .NET applications and move into the cloud
• Monitor and test your AWS .NET applications
• Build cloud native solutions that combine the best of the .NET platform and AWS

If you had to pick two popular technologies to focus on that emerged over the last 20 years, it would be tough to pick two better choices than C# and AWS. Anders Hejlsberg designed C# for Microsoft in 2000, and a few years later, the .NET Framework and Visual Studio launched. Next, in 2004, Mono, a cross-platform compiler and runtime for C#, became widely available. This ecosystem has enabled unique platforms and technologies, including the cross-platform mobile framework Xamarin.

In an alternate universe in the early 2000s, Amazon switched to a service-oriented architecture that culminated in a 2002 release of public web services. As the services grew in popularity, Amazon released SQS in 2004 and Amazon S3 and EC2 in 2006. These storage, compute, and messaging services are still the core building blocks of Amazon Web Services (AWS). As of 2022, AWS has at least 27 geographic regions, 87 availability zones, millions of servers, and hundreds of services. These services include various offerings ranging from machine learning (SageMaker) to serverless (Lambda). This book shows what is possible with these two remarkable technology stacks. You’ll learn the theory surrounding cloud computing and how to implement it using AWS. You will also build many solutions with AWS technology, from serverless to DevOps implemented with the power of the .NET ecosystem, culminating in many elegant solutions that use these two powerful technologies.

Table of Contents

Chapter 1. Getting Started with .NET on AWS

Chapter 2. AWS Core Services

Chapter 3. Migrating a Legacy .NET Framework Application to AWS

Chapter 4. Modernizing .NET Applications to Serverless

Chapter 5. Containerization of .NET

Chapter 6. DevOps

Chapter 7. Logging, Monitoring, and Instrumentation for .NET

Chapter 8. Developing with AWS C# SOK

Appendix A. Benchmarking AWS

Appendix 8. Getting Started with .NET

Who Should Read This Book

This book is for C# developers looking to explore the possibilities on AWS. The book could also be considered an introduction to AWS and cloud computing in general. We will introduce many cloud computing topics from a standing start, so if this is your first foray into cloud-based software development, then rest assured we will provide all the context you will need.

While C# is technically just a programming language and not a framework, we will be relating almost exclusively to .NET application developers building web applications. There will be passing references to Blazor and Xamarin but knowledge of these is absolutely not required. We also have content relevant to developers familiar with both the older .NET Framework, and to the newer .NET (previously .NET Core).

About the Author

Noah Gift is the founder of Pragmatic A.I. Labs. Noah Gift lectures at MSDS, at Northwestern, Duke MIDS Graduate Data Science Program, the Graduate Data Science program at UC Berkeley, the UC Davis Graduate School of Management MSBA program. He teaches and designs graduate machine learning, MLOps, A.I., Data Engineering Data Science courses, and consulting on Machine Learning and Cloud Architecture for students and faculty. He is an AWS ML Hero, as well as SME in Machine Learning and holds multiple AWS Certifications. As a former CTO, individual contributor and consultant he has over 20 years experience shipping revenue generating products in many industries including film, games, and SaaS. He has built complete technology stacks for organizations on the AWS cloud in languages including Python, C#, Ruby, Node and Erlang. He has authored multiple books for O’Reilly including recent titles Python for DevOps and Practical MLOps. In his spare time you might find him building serverless applications on the AWS platform.

James Charlesworth is a software engineer, manager, blogger, public speaker and developer advocate. Starting his career in industrial control systems James rode the storm surge of cloud computing into web-based applications around 2011. He is a deeply passionate advocate of cloud native architecture, ditching servers and leaning on managed services to provide scalability, reliability and security. James lives in Sheffield UK and spends the rest of his time creating youtube videos and playing guitar in a rock band.