Learning Objectives

• Describe the foundational principles that underpin serverless architecture
• Use Amazon API Gateway to support serverless application development
• Apply error handling, monitoring, and logging approaches in serverless environments
• Evaluate AWS SAM, AWS CDK, Amplify, and CloudFormation as deployment options
• Build and deploy a complete serverless solution following AWS best practices

Course Outline

Module 1: Course Introduction

[‘Introduction to the application that will be built throughout the course’, ‘Accessing the Student Guide, Lab Guide, and Online Course Supplement’, ‘Building and maintaining a reference list of serverless resources’]

Module 2: Serverless Design Principles

[‘Best practices for developing serverless applications’, ‘Statelessness, idempotency, and Lambda invocation models’, ‘Services available within the AWS serverless ecosystem’, ‘Environment reuse and working with Lambda layers’]

Module 3: API Development and Synchronous Event Handling

[‘Using Amazon API Gateway in serverless web application architectures’, ‘Try-it-out: Connecting API Gateway to a Lambda function’, ‘Differences between REST, HTTP, WebSocket, and GraphQL APIs’, ‘Integration options available for synchronous event processing’]

Module 4: Access Control with Cognito and IAM

[‘Distinguishing between authentication and authorization’, ‘Managing identity and access using Amazon Cognito’, ‘Differences between Cognito user pools and federated identities’, ‘Securing API Gateway using IAM policies and Cognito authorizers’]

Module 5: Serverless Deployment Frameworks

[‘Declarative application deployment using AWS frameworks’, ‘Comparing AWS SAM, AWS CDK, Amplify, and CloudFormation’, ‘Try-it-out: Deploying an application with the AWS SAM CLI’, ‘Selecting an appropriate framework for deploying serverless solutions’]

Module 6: Asynchronous Messaging with SNS and EventBridge

[‘Asynchronous event flows and event source payload structures’, ‘Routing events to targets using Amazon EventBridge’, ‘Try-it-out: Setting up Amazon SNS topics with message filters’, ‘When to use SNS versus EventBridge’]

Module 7: Working with Queues and Streams

[‘Using Amazon SQS and Amazon Kinesis as Lambda event sources’, ‘Setting up a dead-letter queue with SQS’, ‘Polling model options and relevant considerations’, ‘Lab: Configuring a dead-letter queue as a Lambda event source’]

Module 8: Hands-On Labs: Core Serverless Concepts

[‘Lab 1: Deploying a Simple Serverless Application’, ‘Lab 2: Message Fan-Out with Amazon EventBridge’]

Module 9: Lambda Function Development

[‘How the Lambda execution lifecycle works’, ‘Versioning and alias management best practices’, ‘Error handling and logging in Lambda functions’, ‘Try-it-out: Configuring and testing a Lambda function’]

Module 10: Workflow Orchestration with Step Functions

[‘Coordinating tasks using AWS Step Functions’, ‘Callback patterns and SDK integrations’, ‘Debugging workflows using AWS X-Ray’, ‘Try-it-out: Creating and troubleshooting a state machine’]

Module 11: Observability and Monitoring

[‘Using CloudWatch Logs and Metrics for serverless applications’, ‘Embedded metrics, service quotas, and their implications’, ‘Enabling and interpreting traces with AWS X-Ray’, ‘Try-it-out: Working with ServiceLens and CloudWatch alarms’]

Module 12: Hands-On Labs: Orchestration and Observability

[‘Lab 3: Workflow Orchestration Using Step Functions’, ‘Lab 4: Observability and Monitoring’]

Module 13: Serverless Security Practices

[‘Securing APIs, data stores, and Lambda functions using established best practices’, ‘Auditing and maintaining traceability in serverless environments’, ‘Keeping up with current security guidance and resources’]

Module 14: Scaling and Performance Considerations

[‘Scaling behavior and constraints in serverless architectures’, ‘How Lambda manages concurrency’, ‘Scaling characteristics across different event sources’, ‘Applying API Gateway throttling and quota settings’]

Module 15: CI/CD for Serverless Applications

[‘CI/CD pipeline design patterns for serverless workloads’, ‘Automating serverless deployments with AWS SAM and supporting tools’]