AMA23 – Developing on AWS
AMA23 - Developing on AWS
Course description
This course teaches experienced developers how to programmatically interact with AWS services to build
web solutions. It guides you through a high-level architectural discussion on resource selection and dives
deep into using the AWS Software Development Kits (AWS SDKs) and Command Line Interface (AWS CLI)
to build and deploy your cloud applications. You will build a sample application during this course, learning
how to set up permissions to the development environment, adding business logic to process data using
AWS core services, configure user authentications, deploy to AWS cloud, and debug to resolve application
issues. The course includes code examples to help you implement the design patterns and solutions
discussed in the course. The labs reinforce key course content and help you to implement solutions using
the AWS SDK for Python, .Net, and Java, the AWS CLI, and the AWS Management Console.
Activities
This course includes presentations, demonstrations, and hands-on labs.
Course objectives
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.
Intended audience
This course is intended for experienced:
Software developers
Solution architects
IT workers who want to improve their developing skills using AWS Services
Prerequisites
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
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Course outline
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 highlevel 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