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AWS Amplify Gen 2: Full-Stack Development on the Cloud

Build, Deploy, and Scale Modern Applications with TypeScript, Serverless, and AI-Powered Workflows

AWS Amplify Gen 2: Full-Stack Development on the Cloud
This book is 100% completeLast updated on 2026-09-08
+9,990 words in the last 30 days
Steve Publications

AWS Amplify Gen 2 lets you build full-stack applications on AWS with a TypeScript-first workflow. This book covers authentication, data modeling, serverless backends, AI integrations, security and deployment through practical examples that help you build production-ready applications faster.

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About the Book

This book is for developers who want to build full-stack applications on AWS without spending weeks untangling infrastructure. It covers everything from initializing your first Amplify project to deploying production-ready multi-tenant architectures, with complete TypeScript code examples, real-world case studies, and practical guidance on security, performance, and cost management. Whether you are a frontend developer learning backend, a backend engineer exploring serverless, or a startup engineer needing rapid deployment, this book gives you the knowledge to ship faster without sacrificing quality.

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Steve Publications

Steve is a technology professional with more than 20 years of experience in software development, server infrastructure, cybersecurity, vulnerability research and reverse engineering. Throughout his career, he has designed, secured, analyzed and tested complex software and infrastructure, with a particular focus on understanding how systems fail and how they can be made more secure.

Outside of work, Steve enjoys sharing knowledge with the technology community. He collaborates with researchers, industry experts and technology professionals to write practical books covering software development, cybersecurity, cloud computing, networking, DevOps, artificial intelligence and enterprise technologies. His books focus on practical learning through clear explanations, real-world examples and hands-on exercises. With more than two decades of industry experience, his goal is to help IT professionals, students and technology enthusiasts build useful skills and stay current in a rapidly changing industry.

We believe readers deserve to know how our books are created. Most of our authors are not native English speakers, so we use AI to help translate, proofread manuscripts, fix grammar, improve sentence structure and make technical explanations easier to read. AI is used as an editing tool only. It does not replace the research, technical knowledge or hands-on experience behind our books. Some of our authors also prefer to remain anonymous for privacy or professional reasons. In those cases, we publish their work under a different name. The author's name may be different, but the quality of the content and our review process remain the same.

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Contents

Table of Contents

Build, Deploy, and Scale Modern Applications with TypeScript, Serverless, and AI-Powered Workflows

Introduction: The Full-Stack Problem and Its Solution

Chapter 1: The Amplify Landscape: From Gen 1 to Gen 2

  1. The Problem with Traditional Full-Stack Tooling
  2. AWS Amplify Gen 1: What Worked, What Did Not
  3. Introducing Amplify Gen 2: A New Paradigm
  4. Flow Overview
  5. How Gen 2’s Convention-Driven Workflow Changes Everything
  6. When to Choose Amplify vs. Other AWS Services
  7. Troubleshooting: Common Setup Errors

Chapter 2: Setting Up Your Development Environment

  1. Prerequisites and Installation
  2. Initializing a New Amplify Project
  3. The amplify.json Configuration File
  4. Local Development with the Amplify Sandbox
  5. TypeScript Project Setup and Best Practices

Chapter 3: Data Modeling and Serverless Databases

  1. The Shift from Relational to Document/Graph Models
  2. Defining Schemas with the Amplify Schema Language
  3. Built-In Indexing, Search, and Query Patterns
  4. Data Modeling Best Practices and Pitfalls
  5. Case Study: Building a Task Management Backend
  6. Troubleshooting: Data Modeling and Schema Errors
  7. Hands-On Project: Building a Task Management Application

Chapter 4: Authentication and Authorization at Scale

  1. Amplify Auth Architecture Overview
  2. Email/Password, Magic Links, and Social Providers
  3. Multi-Factor Authentication and Passkeys
  4. Role-Based Access Control with Cognito Identity Pools
  5. Authorization Policies and Fine-Grained Permissions
  6. Hands-On Project: Building an Auth-Protected Application
  7. Troubleshooting: Authentication and Authorization Errors

Chapter 5: API Design: GraphQL, REST, and Serverless Functions

  1. The Amplify API Abstraction Layer
  2. GraphQL Schema Design and Code Generation
  3. REST API Endpoints with Lambda Triggers
  4. Serverless Functions (Lambda) for Custom Logic
  5. Choosing the Right API Style for Your Use Case

Chapter 6: Real-Time Applications with WebSockets and Live Data

  1. The Architecture of Real-Time in Amplify
  2. Subscription-Based Data Streaming
  3. Conflict Resolution and Offline-First Patterns
  4. Building a Collaborative Document Editor
  5. Hands-On Project: Building a Collaborative Document Editor
  6. Troubleshooting: Real-Time Subscription Errors
  7. Performance Considerations for High-Frequency Updates

Chapter 7: Storage, File Uploads, and Media Processing

  1. Amplify Storage Architecture and S3 Integration
  2. Signed URL-Based Uploads vs. Direct Uploads
  3. Image and Video Processing with Lambda Triggers
  4. Access Control Patterns for User-Specific Content
  5. Building a Media Management Service
  6. Hands-On Project: Building a Media Gallery Application
  7. Troubleshooting: Storage and Upload Errors

Chapter 8: Production Deployment and CI/CD Pipelines

  1. The Amplify Console vs. CI/CD
  2. Automated Branch-Based Deployments
  3. Environment Isolation Strategies
  4. Custom Domain and SSL Configuration
  5. Blue-Green Deployments and Rollback Strategies
  6. Flow Summary

Chapter 9: Security Hardening and Compliance

  1. Threat Model for Serverless Applications
  2. Data Encryption at Rest and in Transit
  3. IAM Policies and Least Privilege
  4. OWASP Top 10 for Amplify Applications: Mitigations and Code Examples
  5. Compliance Frameworks (SOC 2, HIPAA, GDPR)
  6. Actionable Compliance Configuration Templates

Chapter 10: Monitoring, Debugging, and Observability

  1. CloudWatch Integration and Custom Metrics
  2. Distributed Tracing with X-Ray
  3. Log Aggregation and Structured Logging
  4. Production-Grade Troubleshooting: Monitoring and Debugging Workflows
  5. Error Tracking and Alerting Strategies
  6. Building a Production Readiness Checklist
  7. Troubleshooting: Monitoring and Observability Errors
  8. Hands-On Project: Deploying with CI/CD
  9. Troubleshooting: Deployment and CI/CD Errors

Chapter 11: Performance Optimization and Cost Management

  1. Cold Start Mitigation Strategies
  2. Query and Index Optimization
  3. Caching Layers and CDN Integration
  4. Cost Modeling for Amplify Applications
  5. Right-Sizing Resources Without Over-Provisioning
  6. Troubleshooting: Performance and Cost Errors
  7. Production-Grade Troubleshooting: Performance and Cost Optimization Workflows

Chapter 12: Advanced Architectures and Real-World Case Studies

  1. Multi-Tenant SaaS Architecture on Amplify
  2. Event-Driven Microservices with Amplify
  3. Event Flow Summary
  4. AI/ML Integration Patterns (Bedrock, SageMaker)

Chapter 13: Testing Amplify Applications

  1. Why Testing Matters in Serverless Development
  2. Unit Testing Lambda Functions with Jest
  3. Mocking AWS SDK Calls
  4. Integration Testing Lambda Functions with LocalStack
  5. Testing GraphQL APIs Against the Sandbox
  6. Contract Testing: Ensuring API Shape Stability
  7. End-to-End Testing with Cypress
  8. Testing Authorization Rules
  9. Integrating Tests into CI/CD
  10. Chapter Summary

Chapter 14: Offline-First and Progressive Web Apps

  1. The Offline-First Challenge in Amplify Gen 2
  2. Architectural Overview
  3. Local Storage with IndexedDB and Dexie.js
  4. The Sync Engine
  5. Conflict Resolution Strategies
  6. Service Workers and App Shell Caching
  7. Making the UI Offline-Aware
  8. Mobile Offline with React Native
  9. Testing Offline Behavior
  10. Chapter Summary

Chapter 15: Mobile Development with Amplify Gen 2

  1. Building Mobile Apps with Amplify: Options and Trade-Offs
  2. Setting Up a React Native + Expo Project
  3. Sharing the Backend Between Web and Mobile
  4. Authentication in Mobile Apps
  5. Using GraphQL from Mobile Apps
  6. Real-Time Subscriptions on Mobile
  7. Offline Support for Mobile
  8. Testing Mobile Apps
  9. Chapter Summary

Chapter 16: The Amplify AI Kit and AI-Powered Workflows

  1. Introduction to the Amplify AI Kit
  2. Getting Started: Setting Up the AI Kit
  3. Building a Chat Interface with Conversation Routes
  4. Generation Routes for Structured AI Operations
  5. Building RAG Applications with Amplify AI Kit
  6. Security and Cost Considerations
  7. Chapter Summary

Chapter 17: Advanced Data Patterns, Search, and Migration

  1. DynamoDB Transactions and Consistency Patterns
  2. Full-Text Search with OpenSearch Integration
  3. Migrating from Amplify Gen 1 to Gen 2
  4. Chapter Summary

Chapter 18: Comparing Amplify Gen 2 Against Alternatives

  1. Feature-by-Feature Comparison Matrix
  2. Amplify Gen 2 vs. Next.js + Prisma
  3. Amplify Gen 2 vs. Supabase
  4. Amplify Gen 2 vs. Firebase
  5. Decision Matrix: Which Tool to Choose?
  6. The Verdict: Amplify Gen 2’s Place in the Ecosystem
  7. Hands-On Project: Building a REST + GraphQL Hybrid API
  8. Troubleshooting: API and Lambda Errors
  9. The Future of Full-Stack Development on AWS
  10. Troubleshooting: Advanced Architecture Patterns

Conclusion: From First Project to Production Confidence

References

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