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Chapter 5: Fault-tolerant design patterns (for example, retries with exponential backoff and jitter, dead-letter queues)
Chapter 7: Creating fault-tolerant and resilient applications in a programming language (for example, Java, C#, Python, JavaScript, TypeScript, Go)
Chapter 8: Creating, extending, and maintaining APIs (for example, response/request transformations, enforcing validation rules, overriding status codes)
Chapter 20: Handling the event lifecycle and errors by using code (for example, Lambda Destinations, dead-letter queues)
Chapter 21: Writing and running test code by using AWS services and tools
Chapter 28: Database consistency models (for example, strongly consistent, eventually consistent)
Chapter 31: Caching strategies (for example, write-through, read-through, lazy loading, TTL)
Chapter 33: Differences between ephemeral and persistent data storage patterns
Chapter 47: Using an identity provider to implement federated access (for example, Amazon Cognito, AWS Identity and Access Management [IAM])
Chapter 52: Defining permissions for principals
Chapter 56: Differences between client-side encryption and server-side encryption
Chapter 57: Differences between AWS managed and customer managed AWS Key Management Service (AWS KMS) keys
Chapter 63: Data classification (for example, personally identifiable information [PII], protected health information [PHI])
Chapter 68: Using secret management services to secure sensitive data
Chapter 70: Ways to access application configuration data (for example, AWS AppConfig, Secrets Manager, Parameter Store)
Chapter 74: Managing the dependencies of the code module (for example, environment variables, configuration files, container images) within the package
Chapter 78: Features in AWS services that perform application deployment
Chapter 82: Performing mock integration for APIs and resolving integration dependencies
Chapter 83: Testing applications by using development endpoints (for example, configuring stages in Amazon API Gateway)
Chapter 84: Deploying application stack updates to existing environments (for example, deploying an AWS SAM template to a different staging environment)
Chapter 85: API Gateway stages
Chapter 86: Branches and actions in the continuous integration and continuous delivery (CI/CD) workflow
Chapter 88: SCreating application test events (for example, JSON payloads for testing Lambda, API Gateway, AWS SAM resources)
Chapter 90: SCreating application environments that use approved versions for integration testing (for example, Lambda aliases, container image tags, AWS Amplify branches, AWS Copilot environments)
Chapter 92: SManaging environments in individual AWS services (for example, differentiating between development, test, and production in API Gateway)
Chapter 95: Access application configurations from AWS AppConfig and Secrets Manager
Chapter 100: Deployment strategies (for example, canary, blue/green, rolling)
Chapter 108: Using existing runtime configurations to create dynamic deployments (for example, using staging variables from API Gateway in Lambda functions)
Chapter 110: Languages for log queries (for example, Amazon CloudWatch Logs Insights)
Chapter 118: Querying logs to find relevant data
Chapter 121: Troubleshooting deployment failures by using service output logs
Chapter 123: Differences between logging, monitoring, and observability
Chapter 128: Adding annotations for tracing services
Chapter 129: Implementing notification alerts for specific actions (for example, notifications about quota limits or deployment completions)
Chapter 133: Messaging services (for example, Amazon Simple Queue Service [Amazon SQS], Amazon Simple Notification Service [Amazon SNS])
Chapter 134: Troubleshooting and Optimization-Optimize applications by using AWS services and features. SProfiling application performance
Chapter 135: Troubleshooting and Optimization-Optimize applications by using AWS services and features. SDetermining minimum memory and compute power for an application
Chapter 136: Troubleshooting and Optimization-Optimize applications by using AWS services and features. SUsing subscription filter policies to optimize messaging
Chapter 137: Troubleshooting and Optimization-Optimize applications by using AWS services and features. SCaching content based on request headers

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