Developing on AWS

This course is intended for experienced:

• Software developers
• Solution architects
• IT workers who want to improve their developing skills using AWS Services

In this course, you will learn to:

• Build a simple end-to-end cloud application using AWS Software Development Kits (AWS SDKs), Command Line Interface (AWS CLI), and IDEs.
• Configure AWS Identity and Access Management (IAM) permissions to support a development environment.
• Use multiple programming patterns in your applications to access AWS services.
• Use AWS SDKs to perform CRUD (create, read, update, delete) operations on Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB resources.
• Build AWS Lambda functions with other service integrations for your web applications.
• Understand the benefits of microservices architectures and serverless applications to design.
• Develop API Gateway components and integrate with other AWS services.
• Explain how Amazon Cognito controls user access to AWS resources.
• Build a web application using Cognito to provide and control user access.
• Use DevOps methodology to reduce the risks associated with traditional application releases and identify AWS services that help in implementing DevOps practices.
• Use AWS Serverless Application Model (AWS SAM) to deploy an application.
• Observe your application build using Amazon X-Ray.

We recommend that attendees of this course have:

• AWS Technical Essentials
• Working knowledge of AWS core services
• Programming experience in any one of the following languages:
  • Python
  • .NET
  • Java

Day 1

Module 1: Course Overview

• Logistics
• Student resources
• Agenda
• Introductions

Module 2: Building a Web Application 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

Module 3: Getting Started with Development on AWS

• 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

Module 4: Getting Started with Permissions

• 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

Module 5: Getting Started with Storage

• 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

Module 6: Processing Your Storage Operations

• 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.

Day 2

Module 7: Getting Started with Databases

• 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

Module 8: Processing Your Database Operations

• 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[1]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

Module 9: Processing Your Application Logic

• 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

Module 10: Managing the APIs

• 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

Day 3

Module 11: Building a Modern Application

• 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

Module 12: Granting Access to Your Application Users

• 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

Module 13: Deploying Your Application

• 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

Module 14: Observing Your Application

• 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

Module 15: Course Wrap-up

• Course overview
• AWS training courses
• Certifications
• Course feedback

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