This module contains the Smithy model (JSON AST) for Sagemaker-edge.
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by Kumar, Jayanth, Singh, Mandeep
Engineering Resilient Systems on AWS: Design, Build, and Test for ResilienceEngineering Resilient Systems on AWS: Design, Build, and Test for Resilience (2024)
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Amazon Web Services in Action, Third Edition: An in-depth guide to AWSAmazon Web Services in Action, Third Edition: An in-depth guide to AWS (2023)
by Wittig, Andreas, Wittig, Michael
AWS Cookbook: Recipes for Success on AWSAWS Cookbook: Recipes for Success on AWS (2022)
by Culkin, John, Zazon, Mike
Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning PipelinesData Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines (2021)
by Fregly, Chris, Barth, Antje
Programming AWS Lambda: Build and Deploy Serverless Applications with JavaProgramming AWS Lambda: Build and Deploy Serverless Applications with Java (2020)
by Chapin, John, Roberts, Mike
Java Microservices and Containers in the Cloud: With Spring Boot, Kafka, PostgreSQL, Kubernetes, Helm, Terraform and AWS EKSJava Microservices and Containers in the Cloud: With Spring Boot, Kafka, PostgreSQL, Kubernetes, Helm, Terraform and AWS EKS (2024)
by Christudas, Binildas A.
Learning Amazon Web Services (AWS): A Hands-On Guide to the Fundamentals of AWS CloudLearning Amazon Web Services (AWS): A Hands-On Guide to the Fundamentals of AWS Cloud (2019)
by Wilkins, Mark
Mastering API Architecture: Design, Operate, and Evolve API-Based SystemsMastering API Architecture: Design, Operate, and Evolve API-Based Systems (2022)
by Gough, James, Bryant, Daniel, Auburn, Matthew
Designing APIs with Swagger and OpenAPIDesigning APIs with Swagger and OpenAPI (2022)
by Ponelat, Joshua S., Rosenstock, Lukas L.
Hacking APIs: Breaking Web Application Programming InterfacesHacking APIs: Breaking Web Application Programming Interfaces (2022)
by Ball, Corey J.
Building and Delivering Microservices on AWS: Master software architecture patterns to develop and deliver microservices to AWS CloudBuilding and Delivering Microservices on AWS: Master software architecture patterns to develop and deliver microservices to AWS Cloud (2023)
by Amar Deep Singh
Machine Learning for Business: Using Amazon SageMaker and JupyterMachine Learning for Business: Using Amazon SageMaker and Jupyter (2020)
by Doug Hudgeon, Richard Nichol
AWS SageMaker for Beginners: Cloud Machine Learning Made EasyAWS SageMaker for Beginners: Cloud Machine Learning Made Easy (2025)
by Calado, Leandro
Spring Boot 3 API Mastery: Write scalable, reactive, and secure APIs for microservices with Spring Boot 3 and Java 21 (English Edition)Spring Boot 3 API Mastery: Write scalable, reactive, and secure APIs for microservices with Spring Boot 3 and Java 21 (English Edition) (2025)
by Racca, Vincenzo
Practical Amazon EC2, SQS, Kinesis, and S3: A Hands-On Approach to AWSPractical Amazon EC2, SQS, Kinesis, and S3: A Hands-On Approach to AWS (2017)
by Gulabani, Sunil
Computer Vision on AWS: Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMakerComputer Vision on AWS: Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker (2023)
by Lauren Mullennex, Nate Bachmeier, Jay Rao
Getting Started with Amazon SageMaker Studio: Learn to build end-to-end machine learning projects in the SageMaker machine learning IDEGetting Started with Amazon SageMaker Studio: Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE (2022)
by Michael Hsieh
API Design PatternsAPI Design Patterns (2022)
by JJ Geewax, Sarah Dawe, Manning Publications
Serverless Programming Cookbook: Practical solutions to building serverless applications using Java and AWSServerless Programming Cookbook: Practical solutions to building serverless applications using Java and AWS (2019)
by Heartin Kanikathottu
Machine Learning in the AWS Cloud: Add Intelligence to Applications with Amazon SageMaker and Amazon RekognitionMachine Learning in the AWS Cloud: Add Intelligence to Applications with Amazon SageMaker and Amazon Rekognition (2019)
by Mishra, Abhishek
Modern API Development with Spring 6 and Spring Boot 3: Design scalable, viable, and reactive APIs with REST, gRPC, and GraphQL using Java 17 and Spring Boot 3Modern API Development with Spring 6 and Spring Boot 3: Design scalable, viable, and reactive APIs with REST, gRPC, and GraphQL using Java 17 and Spring Boot 3 (2023)
by Sourabh Sharma
Amazon SageMaker Best Practices: Proven tips and tricks to build successful machine learning solutions on Amazon SageMakerAmazon SageMaker Best Practices: Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker (2021)
by Sireesha Muppala, Randy DeFauw, Shelbee Eigenbrode
Learn Amazon SageMaker: A guide to building, training, and deploying machine learning models for developers and data scientists, 2nd EditionLearn Amazon SageMaker: A guide to building, training, and deploying machine learning models for developers and data scientists, 2nd Edition (2021)
by Simon, Julien
Practical API Design: Confessions of a Java Framework ArchitectPractical API Design: Confessions of a Java Framework Architect (2008)
by Tulach, Jaroslav