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  • Format: PDF

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…mehr

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Produktbeschreibung
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 AWSLearn DevOps best practices for AWSExplore the development tools and services that AWS providesSuccessfully migrate a legacy .NET application to AWSDevelop serverless .NET microservices on AWSContainerize your .NET applications and move into the cloudMonitor and test your AWS .NET applicationsBuild cloud native solutions that combine the best of the .NET platform and AWS

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Autorenporträt
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.