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This book provides in-depth guidance and best practices for .NET developers new to working with Amazon Web Services. AWS is the world's most comprehensive and broadly adopted cloud platform, and this book will help you choose from, and use, its extensive collection of cloud services when developing and hosting your .NET applications in the cloud. Pro .NET on Amazon Web Services focuses on the building and deployment of .NET applications on AWS. It demonstrates best practices and provides prescriptive guidance around moving existing .NET Framework, .NET Core, and .NET 5+ applications to AWS. It also offers directions on building new, distributed, and reliable cloud-native applications. You will learn how to take advantage of the various tools available from AWS to build and deploy .NET-based applications. You will also be shown how to take advantage of different AWS services, including various execution platforms and databases that can help your .NET applications to achieve the reliability and scalability that AWS is known for.

Cloud computing. --- Electronic data processing --- Web services --- Distributed processing --- Web services. --- Amazon Web Services (Firm) --- Microsoft .NET Framework. --- Application software --- Cloud computing --- Amazon.com (Firm). --- Amazon.com (Firm) --- Dot Net (Software framework) --- Microsoft .NET --- Microsoft .NET software framework --- .NET Framework

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Understand the steps necessary to host your website using the Amazon Web Services (AWS) platform. You will be able to set up your website for the first time or migrate your existing website. Explore scenarios, considerations, and steps for three types of websites, including hosting a static website, a content management system (CMS) based website, and a full-featured enterprise level website. Topic areas such as content storage in S3, compute resources in EC2, Route53 DNS Management, email services setup using Simple Email Service as well as strategies for high availability, fault tolerance, and website maintenance are covered. Website Hosting and Migration with Amazon Web Services is organized in a way that allows you to start with simple concepts using AWS core services that allow you to build knowledge and confidence using AWS services while exploring the latest technology on this ever-updating platform. Using AWS to host your website offers you more control over your infrastructure, content delivery, and ability to scale to fit your website needs. It’s time to take control and take your website to the next level. This engaging resource: Explains how to use the Amazon Web Services Free Tier to evaluate the platform for hosting your website Walks you through the setup and migration steps for three unique and popular web hosting scenarios Delivers hands-on experience with base concepts that can be built upon to grow and improve your website infrastructure Provides sample resources to test and understand the setup process fully.

Computer science. --- Computer communication systems. --- Computer Science. --- Computer Communication Networks. --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Informatics --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Science --- Distributed processing --- Amazon Web Services (Firm) --- Amazon.com (Firm). --- Amazon.com (Firm) --- Computer networks.

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Create and deploy full-stack Spring Boot applications with React and AWS. This practical and authoritative guide teaches you the fundamentals of Amazon Web Services with no prior experience. You will start by learning the fundamentals of AWS, including EC2, S3, IAM, and load balancer. Next, you will learn to deploy a Spring Boot REST API to AWS with Elastic Beanstalk, which will give you the ability to build and deploy a Spring Boot application. You will explore the RDS relational database and create an instance of a MySQL database in AWS with RDS. You will then deploy a Spring Boot application to MySQL in AWS and deploy a full-stack Spring Boot React application to AWS using Elastic Beanstalk and S3. Lastly, you will be introduced to ELB, CloudWatch, and Route 53. By the end of this book you will understand full-stack Spring Boot React applications and their deployment. If you prefer "learning by coding" then Spring Boot with React and AWS is the book for you. You will: Review the fundamentals of Amazon Web Services Install a Spring Boot REST API with CRUD operation to AWS using AWS Elastic Beanstalk Deploy a full-stack Spring Boot React application to AWS using AWS Elastic Beanstalk and S3 Work with MySQL as a database in AWS using RDS Use Spring Boot with React and AWS

Spring (Software framework) --- Application software. --- Web services. --- Application software --- Cloud computing --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Cloud computing. --- Amazon Web Services (Firm) --- Electronic data processing --- Web services --- Distributed processing --- Amazon.com (Firm). --- Amazon.com (Firm)

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Explore the serverless world using Amazon Web Services (AWS) and develop various architectures, including those for event-driven and disaster recovery designs. This book will give you an understanding of different distributed serverless architectures and how to build them using AWS components. You will begin with an introduction to serverless components and architectures, before progressing to data platforms and containers. Next, you'll dig deeper into these serverless architectures and how they leverage AWS components through practical use cases. You will also explore designing systems in a multi-cloud paradigm. Author Jithin Jude Paul then demonstrates how efficient serverless architectures are, and the benefits of designing distributed systems globally in a cost-effective way while incorporating a microservices architectural style. Distributed Serverless Architectures with AWS concludes with a discussion of current and future trends in serverless frameworks. After completing this book, you'll be able to design distributed serverless architectures using AWS. You will: Gain an overview of different serverless architectures Design and build distributed systems using serverless components Build serverless data and container platforms on AWS Plan a multi-cloud strategy using serverless components.

Cloud Computing. --- Business information services. --- Enterprise Architecture. --- Electronic data processing --- Web services --- Business --- Business enterprises --- Information services --- Distributed processing --- Cloud computing. --- Computer architecture. --- Amazon Web Services (Firm) --- Architecture, Computer --- Amazon.com (Firm). --- Amazon.com (Firm) --- Distributed operating systems (Computers) --- Operating systems (Computers)

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Successfully build, tune, deploy, and productionize any machine learning model, and know how to automate the process from data processing to deployment. This book is divided into three parts. Part I introduces basic cloud concepts and terminologies related to AWS services such as S3, EC2, Identity Access Management, Roles, Load Balancer, and Cloud Formation. It also covers cloud security topics such as AWS Compliance and artifacts, and the AWS Shield and CloudWatch monitoring service built for developers and DevOps engineers. Part II covers machine learning in AWS using SageMaker, which gives developers and data scientists the ability to build, train, and deploy machine learning models. Part III explores other AWS services such as Amazon Comprehend (a natural language processing service that uses machine learning to find insights and relationships in text), Amazon Forecast (helps you deliver accurate forecasts), and Amazon Textract. By the end of the book, you will understand the machine learning pipeline and how to execute any machine learning model using AWS. The book will also help you prepare for the AWS Certified Machine Learning—Specialty certification exam. You will: Be familiar with the different machine learning services offered by AWS Understand S3, EC2, Identity Access Management, and Cloud Formation Understand SageMaker, Amazon Comprehend, and Amazon Forecast Execute live projects: from the pre-processing phase to deployment on AWS.

Machine learning. --- Big data. --- Application software. --- Open source software. --- Computer programming. --- Machine Learning. --- Big Data. --- Computer Applications. --- Open Source. --- Free software (Open source software) --- Open code software --- Opensource software --- Computer software --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Data sets, Large --- Large data sets --- Data sets --- Learning, Machine --- Artificial intelligence --- Machine theory --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Programming --- Amazon Web Services (Firm) --- Amazon.com (Firm). --- Amazon.com (Firm) --- Computer and Information Systems Applications.