Developing on AWS

• Discuss the architecture of the application you are going to build during this course
• Explore the AWS services needed to build your web application
• Discover how to store, manage, and host your web application

• Describe how to access AWS services programmatically
• List some programmatic patterns and how they provide efficiencies within AWS SDKs and AWS CLI
• Explain the value of AWS Cloud9

• Review AWS Identity and Access Management (IAM) features and components permissions to support a development environment
• Demonstrate how to test AWS IAM permissions
• Configure your IDEs and SDKs to support a development environment
• Demonstrate accessing AWS services using SDKs and AWS Cloud9

Lab 1: Configure the Developer Environment

• Connect to a developer environment
• Verify that the IDE and the AWS CLI are installed and configured to use the application profile
• Verify that the necessary permissions have been granted to run AWS CLI commands
• Assign an AWS IAM policy to a role to delete an Amazon S3 bucket

• Describe the basic concepts of Amazon S3
• List the options for securing data using Amazon S3
• Define SDK dependencies for your code
• Explain how to connect to the Amazon S3 service
• Describe request and response objects

• Perform key bucket and object operations
• Explain how to handle multiple and large objects
• Create and configure an Amazon S3 bucket to host a static website
• Grant temporary access to your objects
• Demonstrate performing Amazon S3 operations using SDKs

Lab 2: Develop Solutions Using Amazon S3

• Interact with Amazon S3 programmatically using AWS SDKs and the AWS CLI
• Create a bucket using waiters and verify service exceptions codes
• Build the needed requests to upload an Amazon S3 object with metadata attached
• Build requests to download an object from the bucket, process data, and upload the object back to the bucket
• Configure a bucket to host the website and sync the source files using the AWS CLI
• Add IAM bucket policies to access the S3 website.

• Describe the key components of DynamoDB
• Explain how to connect to DynamoDB
• Describe how to build a request object
• Explain how to read a response object
• List the most common troubleshooting exceptions

• Develop programs to interact with DynamoDB using AWS SDKs
• Perform CRUD operations to access tables, indexes, and data
• Describe developer best practices when accessing DynamoDB
• Review caching options for DynamoDB to improve performance
• Perform DynamoDB operations using SDK

Lab 3: Develop Solutions Using Amazon DynamoDB

• Interact with Amazon DynamoDB programmatically using low-level, document, and high- level APIs in your programs
• Retrieve items from a table using key attributes, filters, expressions, and paginations
• Load a table by reading JSON objects from a file
• Search items from a table based on key attributes, filters, expressions, and paginations
• Update items by adding new attributes and changing data conditionally
• Access DynamoDB data using PartiQL and object-persistence models where applicable

• Develop a Lambda function using SDKs
• Configure triggers and permissions for Lambda functions
• Test, deploy, and monitor Lambda functions

Lab 4: Develop Solutions Using AWS Lambda Functions

• Create AWS Lambda functions and interact programmatically using AWS SDKs and AWS CLI
• Configure AWS Lambda functions to use the environment variables and to integrate with other services
• Generate Amazon S3 pre-signed URLs using AWS SDKs and verify the access to bucket objects
• Deploy the AWS Lambda functions with .zip file archives through your IDE and test as needed
• Invoke AWS Lambda functions using the AWS Console and AWS CLI

• Describe the key components of API Gateway
• Develop API Gateway resources to integrate with AWS services
• Configure API request and response calls for your application endpoints
• Test API resources and deploy your application API endpoint
• Demonstrate creating API Gateway resources to interact with your application APIs

Lab 5: Develop Solutions Using Amazon API Gateway

• Create RESTful API Gateway resources and configure CORS for your application
• Integrate API methods with AWS Lambda functions to process application data
• Configure mapping templates to transform the pass-through data during method integration
• Create a request model for API methods to ensure that the pass-through data format complies with application rules
• Deploy the API Gateway to a stage and validate the results using the API endpoint

• Describe the challenges with traditional architectures
• Describe the microservice architecture and benefits
• Explain various approaches for designing microservice applications
• Explain steps involved in decoupling monolithic applications
• Demonstrate the orchestration of Lambda Functions using AWS Step Functions

• Analyze the evolution of security protocols
• Explore the authentication process using Amazon Cognito
• Manage user access and authorize serverless APIs
• Observe best practices for implementing Amazon Cognito
• Demonstrate the integration of Amazon Cognito and review JWT tokens

Lab 6: Capstone – Complete the Application Build

• Create a Userpool and an Application Client for your web application using
• Add new users and confirm their ability to sign-in using the Amazon Cognito CLI
• Configure API Gateway methods to use Amazon Cognito as an authorizer
• Verify JWT authentication tokens are generated during API Gateway calls
• Develop API Gateway resources rapidly using a Swagger importing strategy
• Set up your web application frontend to use Amazon Cognito and API Gateway configurations and verify the entire application functionality

• Identify risks associated with traditional software development practices
• Understand DevOps methodology
• Configure an AWS SAM template to deploy a serverless application
• Describe various application deployment strategies
• Demonstrate deploying a serverless application using AWS SAM

• Differentiate between monitoring and observability
• Evaluate why observability is necessary in modern development and key components
• Understand CloudWatch’s part in configuring the observability
• Demonstrate using CloudWatch Application Insights to monitor applications
• Demonstrate using X-Ray to debug your applications

Lab 7: Observe the Application Using AWS X-Ray

• Instrument your application code to use AWS X-Ray capabilities
• Enable your application deployment package to generate logs
• Understand the key components of an AWS SAM template and deploy your application
• Create AWS X-Ray service maps to observe end-to-end processing behavior of your application
• Analyze and debug application issues using AWS X-Ray traces and annotations

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