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Spis treści

Programming AWS Lambda. Build and Deploy Serverless Applications with Java eBook -- spis treści

• Foreword
• Preface
  • About This Book
  • Why We Wrote This Book
  • Who This Book Is For
  • Why You Need This Book
  • Using the End-of-Chapter Exercises
  • Conventions Used in This Book
  • Using Code Examples
  • OReilly Online Learning
  • How to Contact Us
  • Acknowledgments
• 1. Introduction to Serverless, Amazon Web Services, and AWS Lambda
  • A Quick History Lesson
  • The Cloud Grows
  • Enter Serverless
    • Backend as a Service
    • Functions as a Service
    • Differentiating Serverless
  • What Is AWS?
    • Types of Service
    • Capacity
    • Who Uses AWS?
    • How Do You Use AWS?
  • What Is AWS Lambda?
    • Functions as a Service
    • FaaS as Implemented by Lambda
    • Why Lambda?
    • What Does a Lambda Application Look Like?
      • Web API
      • File processing
      • Other examples of Lambda applications
    • AWS Lambda in the Java World
  • Summary
  • Exercises
• 2. Getting Started with AWS Lambda
  • Quick Guide to the AWS Console
    • Regions
    • Identity and Access Management
  • Lambda Hello World (as Quickly as Possible)
  • Setting Up Your Development Environment
    • AWS Command Line Interface
      • Installing the AWS CLI
      • Acquiring credentials for the AWS CLI
      • Configuring the AWS CLI
    • Java Setup
    • AWS SAM CLI Installation
  • Lambda Hello World (the Proper Way)
    • Creating Your First Java Lambda Project
    • Building Hello World
    • Creating the Lambda Function
      • Running the Lambda function
  • Summary
  • Exercises
• 3. Programming AWS Lambda Functions
  • Core Concepts: Runtime Model, Invocation
    • The Lambda Execution Environment
    • Invocation Types
    • Introduction to Logging
  • Input, Output
    • Lambda Function Method Signatures
    • Configuring the Handler Function in the SAM Template
    • Basic Types
    • Lists and Maps
    • POJOs and Ecosystem Types
    • Streams
    • Context
  • Timeout
  • Memory and CPU
  • Environment Variables
  • Summary
  • Exercises
• 4. Operating AWS Lambda Functions
  • Build and Package
  • Uberjars
  • Assembling a ZIP File
  • Reproducible Builds
  • Deploy
  • Infrastructure as Code
  • CloudFormation and the Serverless Application Model
  • Security
    • The Principle of Least Privilege
    • Identity and Access Management
      • Roles and policies
      • Lambda resource policies
      • SAM IAM
        • Autogenerated execution roles and resource policies
        • Common policy templates
  • Summary
  • Exercises
• 5. Building Serverless Applications
  • Lambda Event Sources
    • Writing Code to Work with Input and Output for Event Sources
    • Configuring a Lambda Event Source
    • Understanding Different Event Source Semantics
  • Example: Building a Serverless API
    • Behavior
    • Architecture
    • Lambda Code
      • Uploading weather data with WeatherEventLambda
      • Reading weather data with WeatherQueryLambda
    • Build and Package Using the AWS SDK BOM
    • Infrastructure
    • Deployment
  • Example: Building a Serverless Data Pipeline
    • Behavior
    • Architecture
      • S3
      • Lambda functions
      • SNS
    • Lambda Code
      • Processing the batch with BulkEventsLambda
      • Processing an individual weather event with SingleEventLambda
    • Build and Package Using Multiple Modules and Isolated Artifacts
      • The top-level project
      • The modules
    • Infrastructure
    • Deployment
  • Summary
  • Exercises
• 6. Testing
  • The Test Pyramid
    • Unit Tests
    • Functional Tests
    • End-to-End Tests
  • Refactoring for Testing
  • Revisiting BulkEventsLambda
  • Refactoring BulkEventsLambda
    • Add Constructors
    • Isolate Side Effects
    • Split Methods
  • Testing BulkEventsLambda
    • Unit Testing
    • Functional Testing
  • End-to-End Testing
  • Local Cloud Testing
  • Cloud Test Environments
  • Summary
  • Exercise
• 7. Logging, Metrics, and Tracing
  • Logging
    • CloudWatch Logs
      • Lambda and CloudWatch Logs
    • LambdaLogger
    • Java Logging Frameworks
    • Structured Logging
    • Structured Logging in Java
    • CloudWatch Logs Insights
  • Metrics
    • CloudWatch Metrics
    • Lambda Platform Metrics
    • Business Metrics
    • Alarms
    • Distributed Tracing
    • Finding Errors
  • Summary
  • Exercises
• 8. Advanced AWS Lambda
  • Error Handling
    • Classes of Error
    • The Various Behaviors of Lambda Error Processing
      • Synchronous event sources
      • Asynchronous event sources
      • Stream/queue event sources
    • Deep Dive into Asynchronous Event Source Errors
      • Retries
      • Dead letter queues
      • Destinations
    • Handling Kinesis and DynamoDB Stream Errors
    • Tracing Errors with X-Ray
    • Error Handling Strategies
  • Scaling
    • Observing Lambda Scaling
    • Scaling Limits and Throttling
      • Burst limits
      • Reserved concurrency
    • Thread Safety
    • Vertical Scaling
  • Versions and Aliases, Traffic Shifting
    • Lambda Versions
    • Lambda Aliases
    • Traffic Shifting
    • When (Not) to Use Versions and Aliases
  • Cold Starts
    • What Is a Cold Start?
    • When Does a Cold Start Occur?
    • Identifying Cold Starts
    • Impact of Cold Starts
    • Mitigating Cold Starts
      • Reduce artifact size
      • Use a more load-speed-efficient packaging format
      • Reduce startup logic
      • Language choice
      • Memory and CPU
    • Provisioned Concurrency
    • Cold Start Summary
  • State
    • Persistent Application State
    • Caching
  • Lambda and Java Application Frameworks
  • Virtual Private Clouds
    • Architectural Concerns of Using Lambda with a VPCs
    • Configuring Lambda to Use a VPC
    • Alternatives
  • Layers and Runtimes
    • What Are Layers?
    • When to Use, and Not Use, Layers
    • Custom Runtimes
  • Summary
  • Exercises
• 9. Advanced Serverless Architecture
  • Serverless Architecture Gotchas
    • At-Least-Once Delivery
      • Example: Lambda cron jobs
      • Solution: Build an idempotent system
      • Solution: Accept duplicates, and perhaps deal with problems if/when they come up
      • Solution: Check for previous processing
    • Impacts of Lambda Scaling on Downstream Systems
      • Solution: Use like-scaling infrastructure
      • Solution: Manage scaling upstream
      • Solution: Manage scaling with reserved concurrency
      • Solution: Architect deliberately hybrid solutions
    • The Fine Print of Lambda Event Sources
  • New Patterns of Architecture Enabled by Serverless Thinking
    • Published Components with the Serverless Application Repository
    • Globally Distributed Applications
      • Global deployment
      • Localized connectivity, with failover
      • Global state
      • Pay-per-use
      • Edge computing/"regionless
  • Summary
  • Exercises
• 10. Conclusion
• Index