Visão Geral

Este Curso AWSDEV Developing on AWS, ensina desenvolvedores experientes a interagir programaticamente com os serviços da AWS para criar soluções web. Ele guia você por uma discussão arquitetural de alto nível sobre seleção de recursos e aprofunda o uso dos SDKs da AWS (AWS SDKs) e da AWS CLI (Interface de Linha de Comando da AWS) para criar e implantar seus aplicativos na nuvem. Você criará um aplicativo de exemplo durante o curso, aprendendo a configurar permissões para o ambiente de desenvolvimento, adicionar lógica de negócios para processar dados usando os serviços principais da AWS, configurar autenticações de usuário, implantar na nuvem da AWS e depurar para resolver problemas do aplicativo. O curso inclui exemplos de código para ajudar você a implementar os padrões de design e as soluções discutidas. Os laboratórios reforçam o conteúdo principal do curso e ajudam você a implementar soluções usando o AWS SDK para Python, .NET e Java, a AWS CLI e o Console de Gerenciamento da AWS.

Objetivo

Após realizar este Curso AWSDEV Developing on AWS você será capaz de:

• Crie um aplicativo de nuvem simples e completo usando os Kits de Desenvolvimento de Software da AWS (AWS SDKs), a Interface de Linha de Comando (AWS CLI) e as IDEs.
• Configure as permissões do AWS Identity and Access Management (IAM) para dar suporte a um ambiente de desenvolvimento.
• Utilize diversos padrões de programação em suas aplicações para acessar os serviços da AWS.
• Utilize os SDKs da AWS para executar operações CRUD (criar, ler, atualizar e excluir) em recursos do Amazon Simple Storage Service (Amazon S3) e do Amazon DynamoDB.
• Crie funções AWS Lambda com integrações de outros serviços para seus aplicativos web.
• Compreenda os benefícios das arquiteturas de microsserviços e das aplicações sem servidor para o design.
• Desenvolver componentes do API Gateway e integrá-los com outros serviços da AWS.
• Explique como o Amazon Cognito controla o acesso do usuário aos recursos da AWS.
• Crie uma aplicação web usando o Cognito para fornecer e controlar o acesso do usuário.
• Utilize a metodologia DevOps para reduzir os riscos associados aos lançamentos de aplicativos tradicionais e identifique os serviços da AWS que auxiliam na implementação de práticas DevOps.
• Utilize o AWS Serverless Application Model (AWS SAM) para implantar uma aplicação.
• Observe a compilação do seu aplicativo usando o Amazon X-Ray.

Publico Alvo

Este curso destina-se a pessoas com experiência:

• Desenvolvedores de software
• Arquitetos de soluções
• Profissionais de TI que desejam aprimorar suas habilidades de desenvolvimento usando os serviços da AWS.

Pre-Requisitos

Recomendamos que os participantes deste curso tenham:

• Fundamentos técnicos da AWS
• Conhecimento prático dos principais serviços da AWS
• Experiência em programação em qualquer uma das seguintes linguagens:
• Python
• .LÍQUIDO
• Java

Materiais

Conteúdo Programatico

Module 1: Course Overview

1. Logistics
2. Student Resources
3. Agenda
4. Introductions

Module 2: Building a Web Application on AWS

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

Module 3: Getting Started with Development on AWS

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

Module 4: Getting Started with Permissions

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

Lab 1: Configure the Developer Environment

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

Module 5: Getting Started with Storage

1. Describe the basic concepts of Amazon S3
2. List the options for securing data using Amazon S3
3. Define SDK dependencies for your code
4. Explain how to connect to the Amazon S3 service
5. Describe request and response objects

Module 6: Processing Your Storage Operations

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

Lab 2: Develop Solutions Using Amazon S3

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

Module 7: Getting Started with Databases

1. Describe the key components of DynamoDB
2. Explain how to connect to DynamoDB
3. Describe how to build a request object
4. Explain how to read a response object
5. List the most common troubleshooting exceptions

Module 8: Processing Your Database Operations

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

Lab 3: Develop Solutions Using Amazon DynamoDB

1. Interact with Amazon DynamoDB programmatically using low-level, document, and high[1]level APIs in your programs
2. Retrieve items from a table using key attributes, filters, expressions, and paginations
3. Load a table by reading JSON objects from a file
4. Search items from a table based on key attributes, filters, expressions, and paginations
5. Update items by adding new attributes and changing data conditionally
6. Access DynamoDB data using PartiQL and object-persistence models where applicable

Module 9: Processing Your Application Logic

1. Develop a Lambda function using SDKs
2. Configure triggers and permissions for Lambda functions
3. Test, deploy, and monitor Lambda functions

Lab 4: Develop Solutions Using AWS Lambda Functions

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

Module 10: Managing the APIs

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

Lab 5: Develop Solutions Using Amazon API Gateway

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

Module 11: Building a Modern Application

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

Module 12: Granting Access to Your Application Users

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

Lab 6: Capstone – Complete the Application Build

1. Create a Userpool and an Application Client for your web application using
2. Add new users and confirm their ability to sign-in using the Amazon Cognito CLI
3. Configure API Gateway methods to use Amazon Cognito as an authorizer
4. Verify JWT authentication tokens are generated during API Gateway calls
5. Develop API Gateway resources rapidly using a Swagger importing strategy
6. 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

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

Module 14: Observing Your Application

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

Lab 7: Observe the Application Using AWS X-Ray

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

Module 15: Course Wrap-up

1. Course overview
2. AWS training courses
3. Certifications
4. Course feedback