Developing on AWS

Course Description

Developing on AWS is a deep dive into the programmatic side of the AWS Cloud. This course moves beyond the management console to teach developers how to use the AWS SDKs and Command Line Interface (CLI) to build scalable web solutions. Throughout the three days, you will follow a high-level architectural roadmap to build a sample application. You will master setting up development permissions, implementing business logic using core services, configuring secure user authentication, and deploying applications using modern DevOps methodologies.

Who is this course for

This course is specifically designed for technical builders, including:

• Software Developers who need to integrate AWS services into their existing codebases.

• Solutions Architects who want to understand the implementation details of their designs.

• IT Professionals seeking to modernize their skill set by moving into cloud-native development.

Course Objectives

• Programmatic Access: Build end-to-end applications using SDKs, CLI, and IDE integrations.

• Security & Permissions: Configure IAM policies and Amazon Cognito for secure user access and resource management.

• Data & Compute: Perform CRUD operations on Amazon S3 and DynamoDB, and build integrated AWS Lambda functions.

• Serverless & Microservices: Design and deploy applications using API Gateway and the AWS Serverless Application Model (SAM).

• Observability & DevOps: Utilize Amazon X-Ray for debugging and adopt DevOps methodologies to streamline application releases.

Prerequisites

• Foundation: Completed AWS Technical Essentials.

• Cloud Knowledge: Working knowledge of AWS core services (compute, storage, and networking).

• Technical Skill: Professional programming experience in Python, .NET, or Java.

Course outline

Section 1: Course Overview

• Logistics

• Student resources

• Agenda

• Introductions

Section 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

Section 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

Section 4: Getting Started with Permissions

• Lab 1: Configure the Developer Environment

• 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

• 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

Section 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

Section 6: Processing Your Storage Operations

• Lab 2: Develop Solutions Using Amazon S3

• 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

• 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.

Section 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

Section 8: Processing Your Database Operations

• Lab 3: Develop Solutions Using Amazon DynamoDB

• 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

• 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

Section 9: Processing Your Application Logic

• Lab 4: Develop Solutions Using AWS Lambda Functions

• Develop a Lambda function using SDKs

• Configure triggers and permissions for Lambda functions

• Test, deploy, and monitor 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

Section 10: Managing the APIs

• Lab 5: Develop Solutions Using Amazon API Gateway

• 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

• 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

Section 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

Section 12: Granting Access to Your Application Users

• Lab 6: Capstone ‚Äì Complete the Application Build

• 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

• 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

Section 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

Section 14: Observing Your Application

• Lab 7: Observe the Application Using AWS X-Ray

• 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

• 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