Serverless GraphQL APIs with Amazon’s AWS AppSync PDF Download

Author: Matthias Biehl
Publisher: API-University Press
ISBN: 1717110703
Category : Computers
Languages : en
Pages : 188

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Book Description
This book gets you a running start with serverless GraphQL APIs on Amazon's AWS AppSync. Whether you are new to GraphQL, or you are an experienced GraphQL developer, this book will provide you with the knowledge needed to get started with AWS AppSync. Do you like learning by doing? After quickly covering the GraphQL foundations, you will dive into the practice of developing APIs with AWS AppSync with in-depth walkthroughs, screenshots, and code samples. Do I learn everything I need to get started? The book guides you through the step-by-step process of designing GraphQL APIs: creating a GraphQL schema, developing GraphQL APIs, connecting data sources, developing resolvers with AppSync templates, securing your API, offering real-time data, developing offline support and synchronization for your apps and much more. Why GraphQL? GraphQL is now a viable option for modern API design. And since Facebook, Yelp, and Shopify have built successful APIs with GraphQL, many companies consider following in the technological footsteps of these tech giants. Using GraphQL is great, but by itself, it is only half the rent: It requires the manual installation and maintenance of software infrastructure components. Why Serverless GraphQL with AppSync? AppSync is a cloud-based platform for GraphQL APIs. It is serverless, so you waste no time setting up infrastructure. It scales up and down dynamically depending on the load. It supports your app developers with an SDK for synchronization and offline support. You pay only what you use, so no upfront investment is needed and it may save your organizations thousands of dollars in IT costs.

Author: Matthias Biehl
Publisher: API-University Press
ISBN: 179583112X
Category : Computers
Languages : en
Pages : 229

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Book Description
This is a book for developers, who not only want to learn how to develop software for Alexa but also want to make money with Alexa. Want to start a side business or a SaaS startup? Just as in the early days of mobile, when fortunes were made with mobile apps on the app store, it is now the perfect time to catch the opportunities offered by voice apps. Amazon Alexa, the voice platform with the broadest adoption, helps developers like you and me, to develop, distribute, market and monetize their Alexa Skills on the Amazon Alexa Store. Want to develop and program Alexa Skills? In this book, you learn step-by-step how to create your first Alexa Skill with the Alexa Developer Console, AWS Lambda, the Alexa CLI, and node.js with the Alexa SDK. Want to scale and grow your Alexa Software Startup? You get a deep-dive into the various ways of making money with Alexa. You learn about the business models for Alexa Skills, marketing and monetizing your Alexa Skill on and off the Alexa Store, opportunities for offering in-skill purchases, and about programming the various purchase and payment flows. Want to build advanced Alexa Skills that users love? The book covers many advanced features of Alexa in plain English, such as account linking, audio streaming, session management and much more. You learn how to personalize your Skill with the user's data and linking the Skill to popular cloud apps, such as Spotify, Google and many more. This will help you create unique apps that stand out on the market and improve the lives of many Alexa users.

Author: Matthias Biehl
Publisher: API-University Press
ISBN: 1717110703
Category : Computers
Languages : en
Pages : 188

View

Book Description
This book gets you a running start with serverless GraphQL APIs on Amazon's AWS AppSync. Whether you are new to GraphQL, or you are an experienced GraphQL developer, this book will provide you with the knowledge needed to get started with AWS AppSync. Do you like learning by doing? After quickly covering the GraphQL foundations, you will dive into the practice of developing APIs with AWS AppSync with in-depth walkthroughs, screenshots, and code samples. Do I learn everything I need to get started? The book guides you through the step-by-step process of designing GraphQL APIs: creating a GraphQL schema, developing GraphQL APIs, connecting data sources, developing resolvers with AppSync templates, securing your API, offering real-time data, developing offline support and synchronization for your apps and much more. Why GraphQL? GraphQL is now a viable option for modern API design. And since Facebook, Yelp, and Shopify have built successful APIs with GraphQL, many companies consider following in the technological footsteps of these tech giants. Using GraphQL is great, but by itself, it is only half the rent: It requires the manual installation and maintenance of software infrastructure components. Why Serverless GraphQL with AppSync? AppSync is a cloud-based platform for GraphQL APIs. It is serverless, so you waste no time setting up infrastructure. It scales up and down dynamically depending on the load. It supports your app developers with an SDK for synchronization and offline support. You pay only what you use, so no upfront investment is needed and it may save your organizations thousands of dollars in IT costs.

Author: Elena van Engelen - Maslova
Publisher: BPB Publications
ISBN: 9355516304
Category : Computers
Languages : en
Pages : 669

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Book Description
Quickly master Kotlin by practicing what you learn KEY FEATURES ● Understand Kotlin concepts and best practices. ● Apply what you learn in eight engaging interactive projects. ● Build real-world applications, including REST APIs and serverless deployments. DESCRIPTION Kotlin Crash Course is a fast-paced, hands-on introduction to Kotlin, preparing readers to build robust applications efficiently using the latest language features and best practices. The book is divided into comprehensive chapters that cover key Kotlin programming topics such as object-oriented and functional programming, collections, concurrency, and unit testing. Each chapter takes a learning by doing approach, focusing on practical projects rather than solely theoretical knowledge. This strategy improves knowledge retention by simulating real-life experiences, allowing students to apply concepts in practice as they learn them. Furthermore, the book is interwoven with an abundance of best practices obtained from industry experience. This approach ensures that even beginners can gain seasoned insights and apply their knowledge confidently to real-world challenges. By the end of this comprehensive course, you will not only possess a strong foundation in Kotlin programming but also the practical skills to build real-world applications, including REST APIs and serverless applications leveraging Kotlin's cloud capabilities. WHAT YOU WILL LEARN ● Understand Kotlin syntax and basic coding conventions. ● Master object-oriented and functional programming concepts. ● Utilize Kotlin’s collection framework effectively. ● Implement concurrency and parallelism with coroutines. ● Build robust applications with best practices. ● Develop diverse applications, including REST APIs and serverless solutions. WHO THIS BOOK IS FOR This book is suitable for students, programmers from other languages, Java developers, back-end developers, full-stack developers, and mobile developers. The book is appropriate for both new and experienced programmers wishing to acquire or refresh their Kotlin skills. TABLE OF CONTENTS 1. Discovering the Power of Kotlin Programming 2. Kotlin Syntax and Basic Coding Conventions 3. Setting up the Development Environment 4. Fundamental Building Blocks of Kotlin 5. Object-oriented Programming 6. Kotlin Collection Framework 7. Scope Functions 8. Functional Programming 9. Exploring Delegation Design Pattern 10. Concurrency and Parallelism 11. Unit Testing in Kotlin 12. Building a Simple REST API 13. Building Event-Driven Cloud Native Serverless Application

Author: Parul Dubey
Publisher: CRC Press
ISBN: 1003824617
Category : Computers
Languages : en
Pages : 193

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Book Description
Amazon Web Services (AWS) provides on-demand cloud computing platforms and application programming interfaces (APIs) to individuals, companies, and govern- ments, along with distributed computing processing capacity and software tools via AWS server farms. This text presents a hands-on approach for beginners to get started with Amazon Web Services (AWS) in a simple way. Key Features It discusses topics such as Amazon Elastic Compute Cloud, Elastic Load Balancing, Auto Scaling Groups, and Amazon Simple Storage Service. It showcases Amazon Web Services’ identity, access management resources, and attribute-based access control. It covers serverless computing services, Virtual Private Cloud, Amazon Aurora, and Amazon Comprehend. It explains Amazon Web Services Free Tier, Amazon Web Services Marketplace, and Amazon Elastic Container Service. It includes security in Amazon Web Services, the shared responsibilitymodel, and high-performance computing on Amazon Web Services. The text is primarily written for graduate students, professionals, and academic researchers working in the fields of computer science, engineering, and information technology. Parul Dubey is currently working as an Assistant professor in the Department of Artificial Intelligence at G H Raisoni College of Engineering, Nagpur, India. She has filed for 15 Indian patents. She is responsible for about 10 publications in conference proceedings, Scopus, and journals. She has contributed book chapters in an edited book published by CRC Press and other reputed publishers. She is also an AWS Certified Cloud Practitioner. Rohit Raja is working as an associate professor and head in the Department of Information Technology at Guru Ghasidas Vishwavidyalaya, Bilaspur, India. His research interests include facial recognition, signal processing, networking, and data mining. He has pub- lished 100 research papers in various international and national journals (including publications by the IEEE, Springer, etc.) and proceedings of reputed international and national conferences (again including publications by Springer and the IEEE).

Author: Scott Bateman
Publisher: Packt Publishing Ltd
ISBN: 1804610577
Category : Computers
Languages : en
Pages : 276

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Book Description
Build an end-to-end geospatial data lake in AWS using popular AWS services such as RDS, Redshift, DynamoDB, and Athena to manage geodata Purchase of the print or Kindle book includes a free PDF eBook. Key Features Explore the architecture and different use cases to build and manage geospatial data lakes in AWS Discover how to leverage AWS purpose-built databases to store and analyze geospatial data Learn how to recognize which anti-patterns to avoid when managing geospatial data in the cloud Book DescriptionManaging geospatial data and building location-based applications in the cloud can be a daunting task. This comprehensive guide helps you overcome this challenge by presenting the concept of working with geospatial data in the cloud in an easy-to-understand way, along with teaching you how to design and build data lake architecture in AWS for geospatial data. You’ll begin by exploring the use of AWS databases like Redshift and Aurora PostgreSQL for storing and analyzing geospatial data. Next, you’ll leverage services such as DynamoDB and Athena, which offer powerful built-in geospatial functions for indexing and querying geospatial data. The book is filled with practical examples to illustrate the benefits of managing geospatial data in the cloud. As you advance, you’ll discover how to analyze and visualize data using Python and R, and utilize QuickSight to share derived insights. The concluding chapters explore the integration of commonly used platforms like Open Data on AWS, OpenStreetMap, and ArcGIS with AWS to enable you to optimize efficiency and provide a supportive community for continuous learning. By the end of this book, you’ll have the necessary tools and expertise to build and manage your own geospatial data lake on AWS, along with the knowledge needed to tackle geospatial data management challenges and make the most of AWS services.What you will learn Discover how to optimize the cloud to store your geospatial data Explore management strategies for your data repository using AWS Single Sign-On and IAM Create effective SQL queries against your geospatial data using Athena Validate postal addresses using Amazon Location services Process structured and unstructured geospatial data efficiently using R Use Amazon SageMaker to enable machine learning features in your application Explore the free and subscription satellite imagery data available for use in your GIS Who this book is forIf you understand the importance of accurate coordinates, but not necessarily the cloud, then this book is for you. This book is best suited for GIS developers, GIS analysts, data analysts, and data scientists looking to enhance their solutions with geospatial data for cloud-centric applications. A basic understanding of geographic concepts is suggested, but no experience with the cloud is necessary for understanding the concepts in this book.

Author: Scott Patterson
Publisher: Packt Publishing Ltd
ISBN: 1789959950
Category : Computers
Languages : en
Pages : 367

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Book Description
Build, deploy, test, and run cloud-native serverless applications using AWS Lambda and other popular AWS services Key FeaturesLearn how to write, run, and deploy serverless applications in Amazon Web ServicesMake the most of AWS Lambda functions to build scalable and cost-efficient systemsBuild and deploy serverless applications with Amazon API Gateway and AWS Lambda functionsBook Description Serverless computing is a way to run your code without having to provision or manage servers. Amazon Web Services provides serverless services that you can use to build and deploy cloud-native applications. Starting with the basics of AWS Lambda, this book takes you through combining Lambda with other services from AWS, such as Amazon API Gateway, Amazon DynamoDB, and Amazon Step Functions. You’ll learn how to write, run, and test Lambda functions using examples in Node.js, Java, Python, and C# before you move on to developing and deploying serverless APIs efficiently using the Serverless Framework. In the concluding chapters, you’ll discover tips and best practices for leveraging Serverless Framework to increase your development productivity. By the end of this book, you’ll have become well-versed in building, securing, and running serverless applications using Amazon API Gateway and AWS Lambda without having to manage any servers. What you will learnUnderstand the core concepts of serverless computing in AWSCreate your own AWS Lambda functions and build serverless APIs using Amazon API GatewayExplore best practices for developing serverless applications at scale using Serverless FrameworkDiscover the DevOps patterns in a modern CI/CD pipeline with AWS CodePipelineBuild serverless data processing jobs to extract, transform, and load dataEnforce resource tagging policies with continuous compliance and AWS ConfigCreate chatbots with natural language understanding to perform automated tasksWho this book is for This AWS book is for cloud architects and developers who want to build and deploy serverless applications using AWS Lambda. A basic understanding of AWS is required to get the most out of this book.

Author: Joshua Arvin Lat
Publisher: Packt Publishing Ltd
ISBN: 1800566123
Category : Computers
Languages : en
Pages : 763

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Book Description
A step-by-step solution-based guide to preparing building, training, and deploying high-quality machine learning models with Amazon SageMaker Key FeaturesPerform ML experiments with built-in and custom algorithms in SageMakerExplore proven solutions when working with TensorFlow, PyTorch, Hugging Face Transformers, and scikit-learnUse the different features and capabilities of SageMaker to automate relevant ML processesBook Description Amazon SageMaker is a fully managed machine learning (ML) service that helps data scientists and ML practitioners manage ML experiments. In this book, you'll use the different capabilities and features of Amazon SageMaker to solve relevant data science and ML problems. This step-by-step guide features 80 proven recipes designed to give you the hands-on machine learning experience needed to contribute to real-world experiments and projects. You'll cover the algorithms and techniques that are commonly used when training and deploying NLP, time series forecasting, and computer vision models to solve ML problems. You'll explore various solutions for working with deep learning libraries and frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers in Amazon SageMaker. You'll also learn how to use SageMaker Clarify, SageMaker Model Monitor, SageMaker Debugger, and SageMaker Experiments to debug, manage, and monitor multiple ML experiments and deployments. Moreover, you'll have a better understanding of how SageMaker Feature Store, Autopilot, and Pipelines can meet the specific needs of data science teams. By the end of this book, you'll be able to combine the different solutions you've learned as building blocks to solve real-world ML problems. What you will learnTrain and deploy NLP, time series forecasting, and computer vision models to solve different business problemsPush the limits of customization in SageMaker using custom container imagesUse AutoML capabilities with SageMaker Autopilot to create high-quality modelsWork with effective data analysis and preparation techniquesExplore solutions for debugging and managing ML experiments and deploymentsDeal with bias detection and ML explainability requirements using SageMaker ClarifyAutomate intermediate and complex deployments and workflows using a variety of solutionsWho this book is for This book is for developers, data scientists, and machine learning practitioners interested in using Amazon SageMaker to build, analyze, and deploy machine learning models with 80 step-by-step recipes. All you need is an AWS account to get things running. Prior knowledge of AWS, machine learning, and the Python programming language will help you to grasp the concepts covered in this book more effectively.

Author: Nader Dabit
Publisher: O'Reilly Media
ISBN: 1492059862
Category : Computers
Languages : en
Pages : 184

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Book Description
With a new generation of services and frameworks, frontend and mobile developers can use their existing skill set to build full stack applications by leveraging the cloud. Developers can build robust applications with production-ready features such as authentication, APIs, data layers, machine learning, chatbots, and AR scenes more easily than ever by taking advantage of these new serverless and cloud technologies. This practical guide explains how. Nader Dabit, developer advocate at Amazon Web Services, shows developers how to build full stack applications using React, AWS, GraphQL, and the Amplify Framework. You’ll learn how to create and incorporate services into your client applications while exploring general best practices, deployment strategies, continuous integration and delivery, and rich media management along the way. Learn how to build applications that solve real problems Understand what is (and is not) possible when using these technologies Examine how authentication works—and learn the difference between authentication and authorization Discover how serverless functions work and why they’re important Use GraphQL in your application—and learn why it’s important Learn how to build full stack applications on AWS

Author: Rajesh Daswani
Publisher: Packt Publishing Ltd
ISBN: 1801817855
Category : Computers
Languages : en
Pages : 711

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Book Description
Prepare to achieve the AWS Certified Developer – Associate certification and learn everything you need to advance your career in AWS development with this in-depth guide Key Features Gear up for a thriving career in AWS development with this hands-on guide Put your newfound knowledge into action with practical labs Develop, deploy, and debug cloud-based applications using AWS core services Purchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, exam tips, and the eBook PDF Book DescriptionBecoming an AWS Certified Developer is a rewarding, but challenging endeavor. With AWS’ vast capabilities and abundant resources, finding the right study material and a clear path to success can be daunting. AWS Certified Developer Associate Certification and Beyond is a one-stop guide that not only sets you up for success in the exam, but also lays the foundations for a fulfilling career in the world's most popular cloud infrastructure. This in-depth guide covers everything you need to know to pass the AWS Certified Developer – Associate exam and allows you to test yourself as you go, with knowledge checks throughout the book. You will learn to configure Elastic Load Balancing for high availability, monitor your applications with CloudWatch, and integrate authentication with Amazon Cognito. Additionally, this book grants lifetime access to online exam resources, including mock exams with exam-like timers, detailed solutions, flashcards, and invaluable exam tips, all accessible across PCs, tablets, and smartphones. By the end, you'll be ready to ace the exam and elevate your AWS application development and management skills, positioning yourself for career advancement.What you will learn Host static website content using Amazon S3 Explore accessibility, segmentation, and security with Amazon VPC Implement disaster recovery with EC2 and S3 Provision and manage relational and non-relational databases on AWS Deploy your applications automatically with AWS Elastic Beanstalk Use AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline for DevOps Manage containers using Amazon EKS and ECS Build serverless applications with AWS Lambda and AWS Cloud9 Who this book is for If you're an IT professional or a developer preparing to take the AWS Certified Developer Associate exam, this book is for you. Developers looking to build and manage their applications on the AWS platform will also find this book useful. No prior AWS experience is needed.